Hospital-acquired bloodstream infections (BSI) are a severe care problem worldwide, associated with significant mortality (Massart et al. 2021). According to Watson et al. (2019), hospital-acquired bloodstream infections result in a 1.3- to 4.3-fold increase in the hospitalization duration, 2.8- to 5.3-fold higher hospitalization costs and a 4.3- to 8-fold increase in the percentage of patients who died.
Observations from the last few years have shown an increased incidence of bloodstream infections (Salm et al. 2018; Tajima et al. 2021). Moreover, data from Denmark revealed a considerable increase in bacteremia between 2000 and 2014, although the all-cause 30-day mortality after first-time bacteremia decreased (Holm et al. 2021).
Over 50% of patients admitted to the intensive care unit (ICU) require central vein catheterization (CVC) (Blot et al. 2015). Central lines are necessary for multiple purposes, including drug infusion, blood sample collection, and hemodynamic monitoring. The presence of a catheter inside a central vein is associated with the risk of central line-associated bloodstream infections (CLABSI). In the USA, five million CVCs are inserted each year, leading to approximately 200,000 cases of CLABSI, and the number of deaths attributable to such infections may be as high as 25,000 (Blot et al. 2015). However, these estimates may be understated because some cases of BSI secondary to urinary, respiratory, and gastrointestinal infections may be assigned the International Classification of Disease (ICD) codes for those illnesses (Goto and Al-Hasan 2013).
The objective of this study was to analyze bloodstream infections in patients hospitalized in the intensive care unit of the Military Institute of Medicine between 2009 and 2017 and to determine the changes in the incidence of pathogens and their susceptibility/resistance to antimicrobial agents with particular attention paid to the incidence of CVC infections in the analyzed cohort.
In our center, the physicians always insert central venous catheters, either specialists or residents. Regardless of who performed the CVC insertion, the procedure was the same and was performed aseptically. Trained nurses provided routine care of inserted catheters and venous line connectors. When the infection was suspected, two blood samples were drawn: one sample of peripheral blood and a second one drawn through the CVC; both were submitted to microbiological testing. When a catheter-related bloodstream infection was suspected, the procedure was like that described above. The blood samples were taken from both the catheter and a peripheral vein. The catheter was removed according to clinical guidelines (O’Grady et al. 2011), and the tip of the catheter was microbiologically analyzed. Blood samples were collected by trained nurses under aseptic conditions, according to standard procedures in all cases. Its tip was cut off and microbiologically analyzed whenever the catheter was removed. Catheters were released by physicians, under aseptic conditions, according to standard procedures.
When pathogen growth was noted, the samples were inoculated on specific growth media: Columbia agar, McConkey agar, chocolate agar, and Sabouraud agar. When the growth of anaerobic pathogens was observed, the samples were inoculated in a Schaedler agar. The pathogens were incubated in the growth media for 24–48 hours at 37°C under aerobic or anaerobic conditions. After the incubation period, the Gram-stained bacteria morphology was analyzed.
When the growth of a mixed bacterial culture was observed, separating procedures were performed to obtain pure colonies, which were further identified, and antibiotic susceptibility of isolates was assayed. The microorganisms were identified by an automatic VITEK® 2 testing system (bioMérieux, France) using VITEK® ID Cards (VITEK® 2 GN ID Card for the identification of fermenting and non-fermenting Gram-negative bacilli, VITEK® 2 GP ID Cards for Gram-positive bacteria, and VITEK® YST ID Cards of yeast and yeast-like organisms, respectively) following the manufacturer’s instructions. The quality of bacterial identification was assessed with the VITEK® 2 Advanced Expert System. The results were defined as acceptable at a confidence level between 96–99% (excellent identification) or 93–95% (very good quality). Antimicrobial susceptibility testing was performed with the VITEK® 2 system according to the manufacturer’s instructions, using the software 9.02 version and the AST-N 332, AST-P644, AST-643, AST-ST03 cards for Gram-negative bacteria, staphylococci, enterococci, and streptococci, respectively. Between 2007 and 2010, the antimicrobial susceptibility of isolated pathogens was classified according to the Clinical and Laboratory Standard Institute (CLSI 2009; 2010a; 2010b), and since 2011 following the regulations of the European Committee on Antimicrobial Susceptibility Testing (EUCAST 2013; 2017) and the National Reference Centre for Susceptibility Testing in Warsaw, Poland. Control susceptibility tests included reference strains of
The microbiological investigation of the catheters was performed using both a semiquantitative Maki et al. (1977) and a quantitative Brun-Buisson et al. (1987) techniques. A central venous line may be a source of blood infection when the growth of the same pathogen identified in a catheter-drawn sample is observed two or more hours earlier in a blood sample drawn from a peripheral vein. In a catheter tip culture, more than 15 CFU colonies of the same pathogen were isolated via the semiquantitative analysis (Maki et al. 1977). More than thousand bacterial species were isolated via the quantitative analysis (Brun-Buisson et al. 1987).
The study analyzed data collected between 2007 and 2019. General information regarding the number of patients hospitalized in the ICU, the reasons for their hospitalization, the number of microbiological investigations of blood samples, and the results of these examinations are shown in Tables I and II.
Descriptive statistics of the study population and their primary diagnoses according to ICD10.
Year | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||
Patients | n | 197 | 182 | 216 | 173 | 224 | 178 | 172 | 186 | 350 | 422 | 422 | 450 | 348 |
Age | median | 53 | 54 | 60 | 59 | 49 | 43 | 45 | 49 | 43 | 43 | 52 | 57 | 53 |
minimum | 18 | 18 | 18 | 21 | 19 | 18 | 18 | 15 | 19 | 18 | 19 | 21 | 24 | |
maximum | 84 | 86 | 87 | 87 | 82 | 87 | 82 | 91 | 87 | 85 | 87 | 85 | 88 | |
Q1-Q3 | 42-69 | 29-74 | 42-71 | 44-75 | 37-65 | 28-59 | 28-67 | 37-62 | 27-63 | 29-57 | 40-67 | 38-69 | 37-63 | |
Hospitalization time in ICU (days) | median | 22 | 26 | 16 | 30 | 17 | 20 | 23 | 14 | 16 | 15 | 14 | 14 | 8 |
minimum | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
maximum Q1-Q3 | 136 11–47 | 147 9-48 | 124 7-27 | 137 11–58 | 48 5-27 | 107 11-31 | 106 10-36 | 273 8-39 | 126 8–31 | 275 7-35 | 205 5-36 | 159 5-32 | 238 24 | |
Deaths | n (%) | 71 (36%) | 62 (34%) | 68 (31%) | 57 (33%) | 83 (37%) | 60 (34%) | 56 (33%) | 64 (34%) | 135(39%) | 117(28%) | 166 (39%) | 160 (36%) | 149 (43%) |
Main diagnosis according to ICD10 | ||||||||||||||
Year | ||||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||
Other bacterial diseases [A30–A49]1 | 4 | 4 | 6 | 3 | 6 | 3 | 4 | 4 | 8 | 11 | 13 | 12 | 10 | |
Malignant [C00–C14]neoplasms 2 of lip, oral cavity, and pharynx | 3 | 5 | 3 | 4 | 4 | 3 | 4 | 3 | 4 | 4 | 3 | 5 | 4 | |
Malignant neoplasms of digestive organs [C15–C26]3 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Malignant organs [C30neoplasms –C39]4 of respiratory and intrathoracic | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |
Malignant and related neoplasms tissue [C81of -lymphoid, C96]5 hematopoietic, | 4 | 3 | 4 | 4 | 4 | 4 | 3 | 4 | 7 | 8 | 6 | 6 | 5 | |
Diabetes mellitus [E10-E14]6 | 4 | 7 | 5 | 4 | 5 | 3 | 2 | 4 | 6 | 5 | 7 | 6 | 5 | |
Obesity and other hyperalimentation [E65-E68] | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 3 | 3 | 1 | |
Metabolic disorders7 | 4 | 2 | 3 | 0 | 1 | 0 | 1 | 1 | 3 | 0 | 3 | 4 | 2 | |
Inflammatory system [G00–Gdiseases 09]8 of the central nervous | 3 | 1 | 2 | 0 | 4 | 0 | 0 | 0 | 2 | 2 | 3 | 4 | 2 | |
Systemic nervous system atrophies [Gprimarily 10–G14]9 affecting the central | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Episodic and paroxysmal disorders [G40–G47]10 | 2 | 3 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 2 | 2 | |
Diseases [G70–G73of ]myoneural 11 junction and muscle | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Cerebral [G80–G83palsy ]12 and other paralytic syndromes | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Other disorders of the nervous system [G90–G99]13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | |
Ischemic heart diseases [I20–I25]14 | 3 | 3 | 4 | 0 | 3 | 2 | 2 | 2 | 4 | 6 | 6 | 5 | 4 | |
Pulmonary circulation heart [I26–Idisease 28]15 and diseases of pulmonary | 2 | 1 | 2 | 0 | 2 | 2 | 2 | 3 | 6 | 7 | 8 | 8 | 6 | |
Other forms of heart disease [I30–I52]16 | 36 | 27 | 25 | 13 | 27 | 17 | 16 | 17 | 24 | 31 | 27 | 34 | 28 | |
Cerebrovascular diseases [I60–I69]17 | 6 | 8 | 10 | 0 | 10 | 8 | 8 | 8 | 14 | 13 | 14 | 22 | 16 | |
Diseases of arteries, arterioles, and capillaries [I70–I79]18 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | |
Diseases nodes [I80of –veins, I89]19 lymphatic vessels, and lymph | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
Influenza and pneumonia [J09-J18]20 | 1 | 0 | 3 | 5 | 5 | 3 | 2 | 2 | 5 | 6 | 6 | 6 | 4 | |
Chronic lower respiratory diseases [J40–J47]21 | 7 | 7 | 9 | 10 | 9 | 8 | 8 | 9 | 16 | 19 | 18 | 21 | 18 | |
Lung diseases due to external agents [J60–J70]22 | 5 | 4 | 5 | 0 | 2 | 2 | 1 | 1 | 1 | 3 | 3 | 4 | 2 | |
Other the interstitium respiratory [Jdiseases 80–J84)23 principally affecting | 5 | 1 | 5 | 6 | 6 | 4 | 3 | 3 | 3 | 5 | 5 | 4 | 3 | |
Suppurative respiratory tract and necrotic [J85–J86conditions ]24 of the lower | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | |
Other diseases of the respiratory system [J95–J99]25 | 21 | 10 | 19 | 44 | 38 | 28 | 22 | 19 | 25 | 30 | 28 | 37 | 27 | |
Diseases [K20–K31of ]esophagus, 26 stomach, and duodenum | 5 | 4 | 4 | 2 | 2 | 2 | 1 | 0 | 2 | 4 | 5 | 6 | 0 | |
Hernia [K40–K46]27 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | |
Other diseases of the intestines [K55-K64]28 | 0 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 2 | 3 | 4 | 3 | 1 | |
Diseases of peritoneum [K65–K67]29 | 5 | 8 | 10 | 11 | 13 | 9 | 11 | 9 | 16 | 16 | 14 | 16 | 10 | |
Diseases of the liver [K70–K77]30 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 2 | 2 | 3 | 3 | 0 | |
Disorders [K80–K87of ]31 gallbladder, biliary tract, and pancreas | 13 | 10 | 10 | 13 | 14 | 9 | 8 | 9 | 11 | 9 | 7 | 10 | 6 | |
Other diseases of the digestive system [K90–K93]32 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 2 | 0 | |
Infections [L00–L08]of 33 the skin and subcutaneous tissue | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Systemic connective tissue disorders [M30 -M32]34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Osteopathies and chondropathies [M80–M94]35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
Injuries to the head [S00–S09]36 | 5 | 5 | 7 | 9 | 9 | 8 | 11 | 9 | 27 | 23 | 23 | 24 | 16 | |
Injuries to the neck [S10–S19]37 | 0 | 0 | 0 | 4 | 0 | 2 | 3 | 0 | 2 | 0 | 0 | 2 | 0 | |
Injuries to the thorax [S20–S29]38 | 4 | 3 | 3 | 2 | 0 | 2 | 0 | 4 | 7 | 3 | 8 | 4 | 2 | |
Injuries and pelvis to the [S30abdomen, –S39]39 lower back, lumbar spine, | 2 | 3 | 3 | 4 | 4 | 2 | 0 | 2 | 10 | 17 | 23 | 17 | 9 | |
Injuries to the shoulder and upper arm [S40–S49]40 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Injuries to the hip and thigh [S70–S79]41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 2 | |
Injuries to the knee and lower leg [S80–S89]42 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | |
Injuries involving multiple body regions [T00–T07]43 | 44 | 45 | 53 | 21 | 32 | 41 | 48 | 57 | 101 | 142 | 145 | 141 | 134 | |
Burns and corrosions [T20–T32]44 | 4 | 9 | 6 | 9 | 16 | 10 | 11 | 11 | 19 | 31 | 29 | 35 | 26 | |
Poisoning substances by [Tdrugs, 36–T50medicaments, ]45 and biological | 0 | 2 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 3 | 2 | 1 | 0 | |
Other [T66-Tand 78]unspecified 46 effects of external causes | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 |
Diagnoses were presented in blocks, as on the World Health Organization webpage (https://icd.who.int/browsel0/2019/en)
1 including sepsis due to other specified staphylococci (A41.1); sepsis due to anaerobes (A41.4); sepsis due to other Gram-negative organisms (A41.5); sepsis, unspecified (A41.9)
2 including malignant neoplasm of other and unspecified parts of the tongue (C02); malignant neoplasm of other and ill-defined sites of the lip, oral cavity, and pharynx (C14)
3 including malignant neoplasm of the stomach (C16); malignant neoplasm of the colon (C18)
4 including malignant neoplasm of bronchus and lung (C34)
5 including acute myeloblastic leukemia (C92.0)
6 including diabetes mellitus with coma (E.10.0), ketoacidosis (E10.1), and multiple complications (E10.7)
7 including acidosis (E87.2)
Diagnoses were presented in blocks, as on the World Health Organization webpage (https://icd.who.int/browsel0/2019/en)
8 including bacterial meningitis, not elsewhere classified (GOO); bacterial meningoencephalitis and meningomyelitis, not elsewhere classified (G04.2); encephalitis, myelitis, and encephalomyelitis in diseases classified elsewhere
9 including motor neuron disease (G12.2)
10 including epilepsy (G40); status epilepticus (G41); brain stem stroke syndrome (G46.3); cerebellar stroke syndrome (G46.4)
11 including myasthenia gravis and other myoneural disorders (G70)
12 including cerebral palsy (G80); flaccid tetraplegia (G82.3)
13 including encephalopathy, unspecified (G93.4)
14 including acute myocardial infarction (121)
15 including pulmonary embolism (I26)
16 including cardiac arrest with successful resuscitation (I46.0); other cardiac arrhythmias (I49); heart failure (I50)
17 including subarachnoid hemorrhage (I60); intracerebral hemorrhage (I61); cerebral infarction (I63); stroke (I64)
18 including abdominal aortic aneurysm, ruptured (I71.3)
19 including embolism and thrombosis of vena cava (I82.2)
20 including influenza with pneumonia, seasonal influenza virus identified (J10.0); bacterial pneumonia (J15); pneumonia due to other infectious organisms (J16); pneumonia, organism unspecified (J18)
21 including other chronic obstructive pulmonary disease (J44); status asthmaticus (J46)
Diagnoses were presented in blocks, as on the World Health Organization webpage (https://icd.who.int/browsel0/2019/en)
22 including pneumonitis due to food and vomit (J69.0)
23 including adult respiratory distress syndrome (J80); other interstitial pulmonary diseases (J84)
24 including abscess of the mediastinum (J85.3)
25 including postprocedural respiratory disorders (J95); respiratory failure (J96)
26 including perforation of the esophagus (K22.3); duodenal ulcer, acute with hemorrhage (K26.0), acute with hemorrhage and perforation (K26.2); gastrojejunal ulcer with hemorrhage (K28.0), hemorrhage and perforation (K28.2); acute hemorrhagic gastritis (K29)
27 including ventral hernia (K43)
28 including paralytic ileus and intestinal obstruction without hernia (K56)
29 including peritonitis (K65)
30 including toxic liver disease (K71); hepatic failure (K72)
31 including cholelithiasis (K80); cholecystitis (K81); obstruction of the bile duct (K83.1); acute pancreatitis (K85)
32 including gastrointestinal hemorrhage, unspecified (K92.2)
33 including other local infections of the skin and subcutaneous tissue (L08)
34 including systemic lupus erythematosus (M32)
35 including osteomyelitis (M86)
Diagnoses were presented in blocks, as on the World Health Organization webpage (https://icd.who.int/browsel0/2019/en)
36 including fracture of the skull and facial bones (S02); intracranial injury (S06); other and unspecified injuries of the head (S09)
37 including open wound of the neck (S11); fracture of the neck (S12); injury of nerves and spinal cord at neck level (S14); injury of blood vessels at neck level (S15)
38 including fracture of rib(s), sternum, and thoracic spine (S22); injury of blood vessels of the thorax (S25); injury of other and unspecified intrathoracic organs (S27); crushing injury of the thorax and traumatic amputation of part of thorax (S28)
39 including fracture of lumbar spine and pelvis (S32); injury of blood vessels at abdomen, lower back, and pelvis level (S35); injury of intra-abdominal organs (S36)
40 including traumatic amputation of shoulder and upper arm (S48)
41 including fracture of the femur (S72); crushing injury of hip and thigh (S77)
42 including crushing injury of the lower leg (S87); traumatic amputation of the lower leg (S88)
43 including fractures involving multiple body regions (T02); crushing injuries involving multiple body regions (T04); other injuries involving multiple body regions (T06); multiple unspecified injuries (T07)
44 including burn and corrosion of head and neck (T20); burn and corrosion of trunk (T21); burn and corrosion of respiratory tract (T27); burn and corrosion of other internal organs (T28); burns and corrosions of multiple body regions (T29); burns classified according to the extent of body surface involved (T31)
45 including poisoning by narcotics and psychodysleptics [hallucinogens] (T40)
46 including hypothermia (T68); drowning and nonfatal submersion (T75.1); effect of electric current (T75.8); anaphylactic shock (T78.2)
The number of microbiological analyses, with their results, performed between 2007 and 2019.
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beds in ICU (n) | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 14 | 18 | 18 | 18 | 18 | 18 |
Hospitalizations (n) | 179 | 182 | 216 | 173 | 224 | 178 | 172 | 186 | 350 | 422 | 422 | 450 | 348 |
Microbiological analyses (n) | 2,361 | 2,349 | 2,710 | 2,454 | 3,123 | 2,796 | 2,797 | 2,811 | 4,093 | 5,376 | 5,030 | 5,089 | 5,264 |
Microbiological of blood samples analyses (n) | 670 | 613 | 785 | 641 | 1,245 | 1,016 | 944 | 831 | 1,219 | 1,326 | 988 | 1,161 | 1,180 |
Blood analyses, microbiological negative results (n) | 548 | 473 | 632 | 534 | 1,130 | 889 | 809 | 690 | 1,064 | 1,140 | 858 | 1,023 | 994 |
Blood analyses, microbiological positive results (n) | 107 | 120 | 135 | 97 | 104 | 99 | 106 | 112 | 120 | 154 | 104 | 106 | 145 |
Blood microbiological analyses, contaminated samples (n) | 15 | 20 | 18 | 10 | 11 | 28 | 29 | 29 | 35 | 32 | 26 | 32 | 41 |
Microbiological of the tip of the analyses catheter (n) | 30 | 23 | 28 | 18 | 39 | 29 | 45 | 53 | 70 | 70 | 76 | 77 | 65 |
Microbiological analyses of the tip of the catheter, positive results (n) | 13 | 11 | 17 | 12 | 21 | 11 | 31 | 30 | 20 | 29 | 31 | 26 | 26 |
Staphylococci were the most frequent (74.4% (545/ 733)) isolates among the Gram-positive bacteria. The majority (368/545, 67.5%) of all isolated staphylococci were MRCNS. More than 78% (426/545) of staphylococci were resistant to methicillin (86.4% (368/426) of them were MRCNS). Enterococci were isolated from 184/1509 (12.2%) samples; 41/184 (22.3%) strains exhibited a high-level aminoglycoside resistance (HLAR), and 11 (6%)
The resistances of isolated pathogens to antimicrobial agents are shown in Tables III and IV. The graphical presentation of these data is shown in Fig. 1, 2, and 3. The above data include the number of Gram-positive (Table III, Fig. 2) and Gram-negative (Table III, Fig. 3) alert pathogens with their resistance mechanisms. All MRSA and MRCNS strains were susceptible to vancomycin during the analyzed period. From 2010, all MRSA strains were susceptible to gentamycin and trimethoprim/sulfamethoxazole. However, MRCNS strains were rather (mean 57%, median 61%) susceptible to sulphonamide and exhibited high resistance (up to 90% in 2019) to gentamycin. MRSA was more susceptible to the other than mentioned above antimicrobials than MRCNS. All MSSA strains were susceptible to isoxazolyl penicillins.
Fig. 1
Trends in pathogens isolated between 2007 and 2019.

Fig. 2
Gram-positive alert pathogens with mechanisms of resistance, isolated between 2009 and 2019.

Fig. 3
Gram-negative alert pathogens with mechanisms of resistance, isolated between 2009 and 2019.

The number of pathogens isolated from blood samples between 2007 and 2019.
Pathogen (mechanism of Pathogen antibiotic resistance) | 2007 | 2008 | 2009 | 2010 | 2011 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gram-negative bacilli | 33 | 24 | 22 | 19 | 38 | 26 | 25 | 29 | 18 | 26 | 20 | 18 | 14 | 312 | |
9 | 12 | 9 | 12 | 7 | 5 | 7 | 6 | 8 | 8 | 9 | 6 | 11 | 109 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | ||
0 | 0 | 4 | 0 | 1 | 1 | 2 | 2 | 4 | 7 | 4 | 0 | 1 | 26 | ||
6 | 8 | 5 | 2 | 4 | 2 | 4 | 9 | 7 | 14 | 6 | 8 | 13 | 88 | ||
11 | 8 | 3 | 3 | 2 | 4 | 1 | 10 | 7 | 7 | 4 | 5 | 2 | 67 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 5 | ||
0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | ||
1 | 3 | 2 | 0 | 3 | 3 | 4 | 6 | 4 | 9 | 7 | 11 | 5 | 58 | ||
0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 1 | 11 | ||
1 | 0 | 1 | 0 | 1 | 1 | 3 | 3 | 2 | 5 | 5 | 7 | 5 | 34 | ||
0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 2 | 0 | 7 | ||
0 | 1 | 0 | 0 | 0 | 2 | 2 | 2 | 1 | 3 | 3 | 3 | 4 | 21 | ||
4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 9 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 2 | 8 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 2 | 8 | ||
Gram-positive cocci | 1 | 5 | 1 | 3 | 7 | 3 | 3 | 3 | 4 | 4 | 4 | 9 | 18 | 65 | |
3 | 7 | 15 | 3 | 5 | 4 | 2 | 3 | 7 | 3 | 2 | 4 | 0 | 58 | ||
2 | 2 | 5 | 3 | 2 | 2 | 6 | 4 | 6 | 12 | 5 | 1 | 4 | 54 | ||
31 | 25 | 34 | 35 | 22 | 34 | 35 | 23 | 38 | 28 | 18 | 15 | 30 | 368 | ||
5 | 8 | 15 | 5 | 5 | 5 | 4 | 5 | 6 | 16 | 2 | 6 | 13 | 95 | ||
0 | 3 | 9 | 0 | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 | 20 | ||
1 | 2 | 9 | 5 | 1 | 2 | 1 | 0 | 4 | 3 | 0 | 2 | 7 | 37 | ||
0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 3 | 1 | 11 | ||
1 | 1 | 1 | 6 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 3 | 2 | 21 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3 | ||
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Fungi | 5 | 3 | 4 | 5 | 2 | 4 | 1 | 1 | 2 | 1 | 2 | 1 | 3 | 34 | |
0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | ||
0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
0 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 1 | 1 | 0 | 3 | 14 | ||
Total | 115 | 125 | 141 | 103 | 104 | 103 | 107 | 112 | 124 | 159 | 107 | 109 | 148 | 1,557 |
Resistance of Gram-negative pathogens to antimicrobial agents.
Antimicrobial agent | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2007 n = 9 | 2008 n = 12 | 2009 n = 9 | 2010 n = 12 | 2011 n = 7 | 2012 n = 5 | 2013 n = 7 | 2014 n = 6 | 2015 n = 8 | 2016 n = 8 | 2017 n = 9 | 2018 n = 6 | 2019 n = 11 | |
Ceftazidime | 2 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 |
Cefepime | 0 | 3 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 1 | 0 | 0 |
Piperacillin/tazobactam | 1 | 1 | 5 | 0 | 0 | 1 | 1 | 0 | 1 | 4 | 1 | 0 | 0 |
Gentamycin | 5 | 4 | 5 | 1 | 3 | 2 | 3 | 0 | 0 | 4 | 0 | 0 | 0 |
Ciprofloxacin | 6 | 3 | 5 | 0 | 2 | 2 | 2 | 2 | 2 | 5 | 3 | 2 | 0 |
Imipenem | 3 | 2 | 4 | 4 | 2 | 1 | 2 | 0 | 2 | 5 | 4 | 3 | 7 |
Meropenem | 3 | 0 | 4 | 3 | 2 | 1 | 2 | 0 | 1 | 4 | 4 | 3 | 7 |
2007 n = 33 | 2008 n = 24 | 2009 n = 22 | 2010 n = 19 | 2011 n = 38 | 2012 n = 26 | 2013 n = 25 | 2014 n = 29 | 2015 n = 18 | 2016 n = 26 | 2017 n = 20 | 2018 n = 18 | 2019 n = 14 | |
Gentamycin | 30 | 22 | 7 | 11 | 29 | 24 | 22 | 25 | 16 | 18 | 13 | 15 | 8 |
Ciprofloxacin | 32 | 24 | 21 | 19 | 34 | 25 | 23 | 29 | 18 | 25 | 20 | 18 | 14 |
Imipenem | 11 | 6 | 10 | 11 | 31 | 23 | 21 | 28 | 17 | 25 | 19 | 17 | 10 |
Meropenem | 6 | 6 | 8 | 11 | 31 | 23 | 21 | 28 | 17 | 25 | 19 | 17 | 10 |
Trimethoprim-sulfamethoxazole | 20 | 18 | 16 | 19 | 36 | 24 | 15 | 27 | 16 | 25 | 20 | 17 | 10 |
Ampicillin/sulbactam | 12 | 12 | 8 | 12 | 19 | 3 | 9 | 20 | 16 | nd | nd | nd | nd |
Colistin | – | – | – | – | – | – | – | – | 0 | 0 | 0 | 0 | 0 |
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 0 | n = 0 | n = 4 | n = 0 | n = 1 | n = | 1 n = 2 | n = 2 | n = 4 | n = 7 | n = 4 | n = 0 | n = 1 | |
Trimethoprim-sulfamethoxazole | – | – | 0 | – | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 |
ESBL-negative Enterobacterales | |||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 8 | n = 12 | n = 8 | n = 2 | n = 8 | n = | 9 n = 15 | n = 22 | n = 15 | n = 34 | n = 25 | n = 29 | n = 31 | |
Ceftazidime | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cefepime | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ciprofloxacin | 0 | 3 | 3 | 0 | 1 | 0 | 5 | 1 | 2 | 10 | 6 | 4 | 5 |
Gentamycin | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 5 |
Piperacillin/tazobactam | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 8 |
Trimethoprim-sulfamethoxazole | 3 | 2 | 3 | 1 | 1 | 1 | 6 | 1 | 0 | 3 | 4 | 2 | 4 |
ESBL-positive Enterobacterales | |||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 15 | n = 13 | n = 4 | n = 4 | n = 2 | n = | 4 n = 1 | n = 11 | n = 7 | n = 11 | n = 9 | n = 10 | n = 3 | |
Amoxicillin/clavulanate | 12 | 9 | 3 | 4 | 2 | 4 | 1 | 11 | 6 | 8 | 9 | 10 | 3 |
Gentamycin | 10 | 9 | 3 | 4 | 2 | 4 | 1 | 8 | 7 | 7 | 6 | 8 | 2 |
Ciprofloxacin | 13 | 11 | 4 | 4 | 2 | 4 | 1 | 11 | 7 | 11 | 9 | 10 | 3 |
Imipenem | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
Meropenem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Trimethoprim-sulfamethoxazole | 13 | 9 | 2 | 3 | 1 | 3 | 1 | 9 | 5 | 11 | 9 | 8 | 3 |
KPC-producing | |||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 0 | n = 4 | n = 0 | n = 0 | n = 0 | n = | 0 n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | |
Amikacin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
Gentamicin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
Tigecycline | – | 2 | – | – | – | – | – | – | – | – | – | – | – |
Trimethoprim-sulfamethoxazole | – | 4 | – | – | – | – | – | – | – | – | – | – | – |
Colistin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
NDM-producing | |||||||||||||
Antimicrobial agent | 2007 n = 0 | 2008 n = 0 | 2009 n = 0 | 2010 n = 0 | 2011 n = 0 | 2012 n = 0 | 2013 n = 0 | 2014 n = 0 | 2015 n = 0 | 2016 n = 0 | 2017 n = 2 | 2018 n = 1 | 2019 n = 2 |
Amikacin | – | – | – | – | – | – | – | – | – | – | 2 | 1 | 2 |
Gentamicin | – | – | – | – | – | – | – | – | – | – | 1 | 1 | 1 |
Tigecycline | – | – | – | – | – | – | – | – | – | – | 2 | 1 | 0 |
Trimethoprim-sulfamethoxazole | – | – | – | – | – | – | – | – | – | – | 1 | 1 | 1 |
Colistin | – | – | – | – | – | – | – | – | – | – | 0 | 0 | 0 |
OXA48-producing | |||||||||||||
2007 n = 0 | 2008 n = 0 | 2009 n = 0 | 2010 n = 0 | 2011 n = 0 | 2012 n = 0 | 2013 n = 0 | 2014 n = 0 | 2015 n = 0 | 2016 n = 0 | 2017 n = 0 | 2018 n = 0 | 2019 n = 1 | |
Amikacin | – | – | – | – | – | – | – | – | – | – | – | – | 0 |
Gentamicin | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Tigecycline | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Trimethoprim-sulfamethoxazole | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Colistin | – | – | – | – | – | – | – | – | – | – | – | – | 0 |
Amongst the enterococci, all
The most problematic Gram-negative alert pathogen was
The most frequently isolated species of Enterobacterales were
We had a broad spectrum of therapeutic options for fungal infection treatment.
Bloodstream infections may lead to metastatic infections, severe sepsis, and multiorgan failure. The prevalence of bloodstream infections is estimated at 174–204/100,000 in North America and 166–189/100,000 in Europe, corresponding to 73,349–84,823 cases in the USA and 157,750–276,318 in Europe (Goto and Al-Hasan 2013). CVCs may be related to BSIs in 90% of cases (Polderman and Girbes 2002).
Possible reasons for this strong correlation include lack of asepsis upon catheter insertion and use, skin changes (e.g., burn-related), the biofilm formation on the catheter’s inner and outer surfaces, and the development of central vein thrombosis at the site of the catheter insertion. The only way to decrease the number of CLABSI cases is to ensure rigorous asepsis when the catheter is placed and used (Ling et al. 2016; Bell and O’Grady 2017; Ielapi et al. 2020).
Our work has been one of the most extensive single-center analyses performed in Poland in recent years. The study was conducted over a long period in a multibed tertiary hospital, a regional trauma center that gives credibility to the results and allows their generalization. The authors of this study believe that analyzing the microbiological situation in single centers may help make up a complete picture of both microbiological hazards and therapeutic possibilities on the national and regional levels. Our analysis was performed at a multidisciplinary ICU, with most of the cases being surgical and trauma patients. Some of them may be immunocompromised; in such patients, the transfer of pathogens from the site of infection to the lumen of the catheter via different connectors may be reasonably easy, resulting in more facile development and progression of a disease.
The data suggest that one in 20 ICU patients develop bloodstream infections. The longer the period of central vein catheterization, the higher the incidence of catheter infection (Gunst et al. 2011). We found that the incidence of positive microbiological results in blood samples was 12.8%. Those values are relatively low compared to the results of other studies which report positive results in 18.9% to 31.3% of cases (Rani et al. 2012; Musicha et al. 2017; Rani et al. 2017). This discrepancy may be due to the procedures at our center, where patient blood samples are analyzed microbiologically every time the patient’s body temperature exceeds 38°C. Some studies from ICUs in southern Poland report a lower incidence of BSI (Wałaszek et al. 2018). However, the spectrum of pathogens isolated from blood samples was similar to our results, including
The etiology of bloodstream infection depends on the geographical localization of the hospital. For example, in Malawi (Africa), the most common BSI pathogens are
Data from the European Antimicrobial Resistance Surveillance Network study performed in 22 countries between 2000 and 2009 indicated that
Gram-positive pathogens were responsible for half of all bloodstream infections. Most of them were staphylococci. Their resistance to methicillin ranges from 40 to 60%. of importance is that MRCNS are a more likely etiological factor in infection than MRSA (Gunst et al. 2011; Louzi et al. 2016; Tian et al. 2019; Tomaszewski et al. 2019). Our results supported this observation. Moreover, MRCNS exhibit greater resistance to antimicrobials, except against vancomycin. We also noted the difference in resistance to gentamycin and trimethoprim/sulfamethoxazole. Such differences may result from the different proportions of branched-chain and straight-chain fatty acids in the membrane lipids of bacteria (Tiwari et al. 2020). However, susceptibility to sulphonamide is significant clinically because the drug can be administered orally, which may be necessary in patients who suffer from staphylococcal bone infections and require proper therapy for an extended time.
In many studies, Gram-negative pathogens responsible for more than half of bloodstream infections pose a greater therapeutic challenge than Gram-positive bacteria, partially due to their increasing antibiotic resistance. Enterobacterales produce ESBL and CPE mechanisms of resistance. Both
In our study, Gram-negative bacteria were isolated in 49.5% of cases. The most frequently isolated was
Among the Gram-negative bacteria, 30.4% were
There are a few significant limitations to our study. The first group of constraints is related to other observational studies with routinely collected electronic data. They include missing data, potential bias, and possible misclassification or inconsistencies in medical coding. The second one is related to the indication for blood sample collection. In our center, blood samples were collected when the infection was suspected clinically. It cannot be ruled out that some patients’ pathogens were present in their bloodstream with no clinical and bacteriological signs and symptoms of infection. The third one is related to the setting of this study: our analysis is connected to only one hospital, although a large one. Finally, assessing the results with some differences in patient-level factors, such as the severity of illness, may have influenced the conclusions.
Despite the limitations mentioned earlier, we believe that our results may be informative and exciting for those interesting in the epidemiology of BSI. Our study estimated bloodstream infections in a large tertiary university hospital and trauma center for 13 years, as incidence rates and pathogens’ distribution, and their susceptibility/ resistance to antimicrobial agents. The presented data may constitute material for further analyses assessing the microbiological situation in Poland and the region to improve the quality of care and outcome in critically ill patients.
Our 13-year study shows that among 12,619 micro-biologically analyzed blood samples, 12% (1,509/12,619) were positive. In 278/1,509 (18.4%) of cases, a central line catheter infection was confirmed, and 1,557 pathogens were isolated.
The most frequently (770/1,557; 49.5%) isolated species were Gram-negative bacteria. Among the Gram-negative bacteria, the most frequently isolated were
Gram-positive pathogens were isolated in 733/1,557 (47.1%) cases. The majority were staphylococci (545/733; 74.4%), mainly coagulase-negative (368/545; 67.5%). MRSA species represented 58/545 (10.6%) of all staphylococci. Fungi were isolated from 3.5% of samples.
Using these data to improve clinical practice, one can say that the MRSA and MRCNS species are susceptible to vancomycin, MSSA is susceptible to isoxazolyl penicillins, and VRE is susceptible to linezolid and tigecycline. However, colistin remains the only therapeutic option in some infections caused by
The bacteriological situation in our department, assessed by the incidence of infections, is similar to other ICUs in Poland and Eastern Europe. However, the number of
The applied infection reduction procedures follow the existing recommendations (Hryniewicz et al. 2013). In addition to the guidelines, it is essential to be aware of the infections, severity of the problem, prevention methods, and the real benefits of compliance with the recommendations that translate into a reduction in the frequency of infections in intensive care units.
Fig. 1

Fig. 2

Fig. 3

Descriptive statistics of the study population and their primary diagnoses according to ICD10.
Year | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||
Patients | n | 197 | 182 | 216 | 173 | 224 | 178 | 172 | 186 | 350 | 422 | 422 | 450 | 348 |
Age | median | 53 | 54 | 60 | 59 | 49 | 43 | 45 | 49 | 43 | 43 | 52 | 57 | 53 |
minimum | 18 | 18 | 18 | 21 | 19 | 18 | 18 | 15 | 19 | 18 | 19 | 21 | 24 | |
maximum | 84 | 86 | 87 | 87 | 82 | 87 | 82 | 91 | 87 | 85 | 87 | 85 | 88 | |
Q1-Q3 | 42-69 | 29-74 | 42-71 | 44-75 | 37-65 | 28-59 | 28-67 | 37-62 | 27-63 | 29-57 | 40-67 | 38-69 | 37-63 | |
Hospitalization time in ICU (days) | median | 22 | 26 | 16 | 30 | 17 | 20 | 23 | 14 | 16 | 15 | 14 | 14 | 8 |
minimum | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
maximum Q1-Q3 | 136 11–47 | 147 9-48 | 124 7-27 | 137 11–58 | 48 5-27 | 107 11-31 | 106 10-36 | 273 8-39 | 126 8–31 | 275 7-35 | 205 5-36 | 159 5-32 | 238 24 | |
Deaths | n (%) | 71 (36%) | 62 (34%) | 68 (31%) | 57 (33%) | 83 (37%) | 60 (34%) | 56 (33%) | 64 (34%) | 135(39%) | 117(28%) | 166 (39%) | 160 (36%) | 149 (43%) |
Main diagnosis according to ICD10 | ||||||||||||||
Year | ||||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||
Other bacterial diseases [A30–A49]1 | 4 | 4 | 6 | 3 | 6 | 3 | 4 | 4 | 8 | 11 | 13 | 12 | 10 | |
Malignant [C00–C14]neoplasms 2 of lip, oral cavity, and pharynx | 3 | 5 | 3 | 4 | 4 | 3 | 4 | 3 | 4 | 4 | 3 | 5 | 4 | |
Malignant neoplasms of digestive organs [C15–C26]3 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Malignant organs [C30neoplasms –C39]4 of respiratory and intrathoracic | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |
Malignant and related neoplasms tissue [C81of -lymphoid, C96]5 hematopoietic, | 4 | 3 | 4 | 4 | 4 | 4 | 3 | 4 | 7 | 8 | 6 | 6 | 5 | |
Diabetes mellitus [E10-E14]6 | 4 | 7 | 5 | 4 | 5 | 3 | 2 | 4 | 6 | 5 | 7 | 6 | 5 | |
Obesity and other hyperalimentation [E65-E68] | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 3 | 3 | 1 | |
Metabolic disorders7 | 4 | 2 | 3 | 0 | 1 | 0 | 1 | 1 | 3 | 0 | 3 | 4 | 2 | |
Inflammatory system [G00–Gdiseases 09]8 of the central nervous | 3 | 1 | 2 | 0 | 4 | 0 | 0 | 0 | 2 | 2 | 3 | 4 | 2 | |
Systemic nervous system atrophies [Gprimarily 10–G14]9 affecting the central | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Episodic and paroxysmal disorders [G40–G47]10 | 2 | 3 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 2 | 1 | 2 | 2 | |
Diseases [G70–G73of ]myoneural 11 junction and muscle | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Cerebral [G80–G83palsy ]12 and other paralytic syndromes | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Other disorders of the nervous system [G90–G99]13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | |
Ischemic heart diseases [I20–I25]14 | 3 | 3 | 4 | 0 | 3 | 2 | 2 | 2 | 4 | 6 | 6 | 5 | 4 | |
Pulmonary circulation heart [I26–Idisease 28]15 and diseases of pulmonary | 2 | 1 | 2 | 0 | 2 | 2 | 2 | 3 | 6 | 7 | 8 | 8 | 6 | |
Other forms of heart disease [I30–I52]16 | 36 | 27 | 25 | 13 | 27 | 17 | 16 | 17 | 24 | 31 | 27 | 34 | 28 | |
Cerebrovascular diseases [I60–I69]17 | 6 | 8 | 10 | 0 | 10 | 8 | 8 | 8 | 14 | 13 | 14 | 22 | 16 | |
Diseases of arteries, arterioles, and capillaries [I70–I79]18 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | |
Diseases nodes [I80of –veins, I89]19 lymphatic vessels, and lymph | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
Influenza and pneumonia [J09-J18]20 | 1 | 0 | 3 | 5 | 5 | 3 | 2 | 2 | 5 | 6 | 6 | 6 | 4 | |
Chronic lower respiratory diseases [J40–J47]21 | 7 | 7 | 9 | 10 | 9 | 8 | 8 | 9 | 16 | 19 | 18 | 21 | 18 | |
Lung diseases due to external agents [J60–J70]22 | 5 | 4 | 5 | 0 | 2 | 2 | 1 | 1 | 1 | 3 | 3 | 4 | 2 | |
Other the interstitium respiratory [Jdiseases 80–J84)23 principally affecting | 5 | 1 | 5 | 6 | 6 | 4 | 3 | 3 | 3 | 5 | 5 | 4 | 3 | |
Suppurative respiratory tract and necrotic [J85–J86conditions ]24 of the lower | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | |
Other diseases of the respiratory system [J95–J99]25 | 21 | 10 | 19 | 44 | 38 | 28 | 22 | 19 | 25 | 30 | 28 | 37 | 27 | |
Diseases [K20–K31of ]esophagus, 26 stomach, and duodenum | 5 | 4 | 4 | 2 | 2 | 2 | 1 | 0 | 2 | 4 | 5 | 6 | 0 | |
Hernia [K40–K46]27 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | |
Other diseases of the intestines [K55-K64]28 | 0 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 2 | 3 | 4 | 3 | 1 | |
Diseases of peritoneum [K65–K67]29 | 5 | 8 | 10 | 11 | 13 | 9 | 11 | 9 | 16 | 16 | 14 | 16 | 10 | |
Diseases of the liver [K70–K77]30 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 2 | 2 | 3 | 3 | 0 | |
Disorders [K80–K87of ]31 gallbladder, biliary tract, and pancreas | 13 | 10 | 10 | 13 | 14 | 9 | 8 | 9 | 11 | 9 | 7 | 10 | 6 | |
Other diseases of the digestive system [K90–K93]32 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 2 | 0 | |
Infections [L00–L08]of 33 the skin and subcutaneous tissue | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Systemic connective tissue disorders [M30 -M32]34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Osteopathies and chondropathies [M80–M94]35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
Injuries to the head [S00–S09]36 | 5 | 5 | 7 | 9 | 9 | 8 | 11 | 9 | 27 | 23 | 23 | 24 | 16 | |
Injuries to the neck [S10–S19]37 | 0 | 0 | 0 | 4 | 0 | 2 | 3 | 0 | 2 | 0 | 0 | 2 | 0 | |
Injuries to the thorax [S20–S29]38 | 4 | 3 | 3 | 2 | 0 | 2 | 0 | 4 | 7 | 3 | 8 | 4 | 2 | |
Injuries and pelvis to the [S30abdomen, –S39]39 lower back, lumbar spine, | 2 | 3 | 3 | 4 | 4 | 2 | 0 | 2 | 10 | 17 | 23 | 17 | 9 | |
Injuries to the shoulder and upper arm [S40–S49]40 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
Injuries to the hip and thigh [S70–S79]41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 2 | |
Injuries to the knee and lower leg [S80–S89]42 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | |
Injuries involving multiple body regions [T00–T07]43 | 44 | 45 | 53 | 21 | 32 | 41 | 48 | 57 | 101 | 142 | 145 | 141 | 134 | |
Burns and corrosions [T20–T32]44 | 4 | 9 | 6 | 9 | 16 | 10 | 11 | 11 | 19 | 31 | 29 | 35 | 26 | |
Poisoning substances by [Tdrugs, 36–T50medicaments, ]45 and biological | 0 | 2 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 3 | 2 | 1 | 0 | |
Other [T66-Tand 78]unspecified 46 effects of external causes | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 |
The number of microbiological analyses, with their results, performed between 2007 and 2019.
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beds in ICU (n) | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 14 | 18 | 18 | 18 | 18 | 18 |
Hospitalizations (n) | 179 | 182 | 216 | 173 | 224 | 178 | 172 | 186 | 350 | 422 | 422 | 450 | 348 |
Microbiological analyses (n) | 2,361 | 2,349 | 2,710 | 2,454 | 3,123 | 2,796 | 2,797 | 2,811 | 4,093 | 5,376 | 5,030 | 5,089 | 5,264 |
Microbiological of blood samples analyses (n) | 670 | 613 | 785 | 641 | 1,245 | 1,016 | 944 | 831 | 1,219 | 1,326 | 988 | 1,161 | 1,180 |
Blood analyses, microbiological negative results (n) | 548 | 473 | 632 | 534 | 1,130 | 889 | 809 | 690 | 1,064 | 1,140 | 858 | 1,023 | 994 |
Blood analyses, microbiological positive results (n) | 107 | 120 | 135 | 97 | 104 | 99 | 106 | 112 | 120 | 154 | 104 | 106 | 145 |
Blood microbiological analyses, contaminated samples (n) | 15 | 20 | 18 | 10 | 11 | 28 | 29 | 29 | 35 | 32 | 26 | 32 | 41 |
Microbiological of the tip of the analyses catheter (n) | 30 | 23 | 28 | 18 | 39 | 29 | 45 | 53 | 70 | 70 | 76 | 77 | 65 |
Microbiological analyses of the tip of the catheter, positive results (n) | 13 | 11 | 17 | 12 | 21 | 11 | 31 | 30 | 20 | 29 | 31 | 26 | 26 |
The number of pathogens isolated from blood samples between 2007 and 2019.
Pathogen (mechanism of Pathogen antibiotic resistance) | 2007 | 2008 | 2009 | 2010 | 2011 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gram-negative bacilli | 33 | 24 | 22 | 19 | 38 | 26 | 25 | 29 | 18 | 26 | 20 | 18 | 14 | 312 | |
9 | 12 | 9 | 12 | 7 | 5 | 7 | 6 | 8 | 8 | 9 | 6 | 11 | 109 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | ||
0 | 0 | 4 | 0 | 1 | 1 | 2 | 2 | 4 | 7 | 4 | 0 | 1 | 26 | ||
6 | 8 | 5 | 2 | 4 | 2 | 4 | 9 | 7 | 14 | 6 | 8 | 13 | 88 | ||
11 | 8 | 3 | 3 | 2 | 4 | 1 | 10 | 7 | 7 | 4 | 5 | 2 | 67 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 5 | ||
0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | ||
1 | 3 | 2 | 0 | 3 | 3 | 4 | 6 | 4 | 9 | 7 | 11 | 5 | 58 | ||
0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 1 | 11 | ||
1 | 0 | 1 | 0 | 1 | 1 | 3 | 3 | 2 | 5 | 5 | 7 | 5 | 34 | ||
0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 2 | 0 | 7 | ||
0 | 1 | 0 | 0 | 0 | 2 | 2 | 2 | 1 | 3 | 3 | 3 | 4 | 21 | ||
4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 9 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 2 | 0 | 2 | 8 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 2 | 8 | ||
Gram-positive cocci | 1 | 5 | 1 | 3 | 7 | 3 | 3 | 3 | 4 | 4 | 4 | 9 | 18 | 65 | |
3 | 7 | 15 | 3 | 5 | 4 | 2 | 3 | 7 | 3 | 2 | 4 | 0 | 58 | ||
2 | 2 | 5 | 3 | 2 | 2 | 6 | 4 | 6 | 12 | 5 | 1 | 4 | 54 | ||
31 | 25 | 34 | 35 | 22 | 34 | 35 | 23 | 38 | 28 | 18 | 15 | 30 | 368 | ||
5 | 8 | 15 | 5 | 5 | 5 | 4 | 5 | 6 | 16 | 2 | 6 | 13 | 95 | ||
0 | 3 | 9 | 0 | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 | 20 | ||
1 | 2 | 9 | 5 | 1 | 2 | 1 | 0 | 4 | 3 | 0 | 2 | 7 | 37 | ||
0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 3 | 1 | 11 | ||
1 | 1 | 1 | 6 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 3 | 2 | 21 | ||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3 | ||
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Fungi | 5 | 3 | 4 | 5 | 2 | 4 | 1 | 1 | 2 | 1 | 2 | 1 | 3 | 34 | |
0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | ||
0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
0 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 1 | 1 | 0 | 3 | 14 | ||
Total | 115 | 125 | 141 | 103 | 104 | 103 | 107 | 112 | 124 | 159 | 107 | 109 | 148 | 1,557 |
Resistance of Gram-negative pathogens to antimicrobial agents.
Antimicrobial agent | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2007 n = 9 | 2008 n = 12 | 2009 n = 9 | 2010 n = 12 | 2011 n = 7 | 2012 n = 5 | 2013 n = 7 | 2014 n = 6 | 2015 n = 8 | 2016 n = 8 | 2017 n = 9 | 2018 n = 6 | 2019 n = 11 | |
Ceftazidime | 2 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 |
Cefepime | 0 | 3 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 1 | 0 | 0 |
Piperacillin/tazobactam | 1 | 1 | 5 | 0 | 0 | 1 | 1 | 0 | 1 | 4 | 1 | 0 | 0 |
Gentamycin | 5 | 4 | 5 | 1 | 3 | 2 | 3 | 0 | 0 | 4 | 0 | 0 | 0 |
Ciprofloxacin | 6 | 3 | 5 | 0 | 2 | 2 | 2 | 2 | 2 | 5 | 3 | 2 | 0 |
Imipenem | 3 | 2 | 4 | 4 | 2 | 1 | 2 | 0 | 2 | 5 | 4 | 3 | 7 |
Meropenem | 3 | 0 | 4 | 3 | 2 | 1 | 2 | 0 | 1 | 4 | 4 | 3 | 7 |
2007 n = 33 | 2008 n = 24 | 2009 n = 22 | 2010 n = 19 | 2011 n = 38 | 2012 n = 26 | 2013 n = 25 | 2014 n = 29 | 2015 n = 18 | 2016 n = 26 | 2017 n = 20 | 2018 n = 18 | 2019 n = 14 | |
Gentamycin | 30 | 22 | 7 | 11 | 29 | 24 | 22 | 25 | 16 | 18 | 13 | 15 | 8 |
Ciprofloxacin | 32 | 24 | 21 | 19 | 34 | 25 | 23 | 29 | 18 | 25 | 20 | 18 | 14 |
Imipenem | 11 | 6 | 10 | 11 | 31 | 23 | 21 | 28 | 17 | 25 | 19 | 17 | 10 |
Meropenem | 6 | 6 | 8 | 11 | 31 | 23 | 21 | 28 | 17 | 25 | 19 | 17 | 10 |
Trimethoprim-sulfamethoxazole | 20 | 18 | 16 | 19 | 36 | 24 | 15 | 27 | 16 | 25 | 20 | 17 | 10 |
Ampicillin/sulbactam | 12 | 12 | 8 | 12 | 19 | 3 | 9 | 20 | 16 | nd | nd | nd | nd |
Colistin | – | – | – | – | – | – | – | – | 0 | 0 | 0 | 0 | 0 |
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 0 | n = 0 | n = 4 | n = 0 | n = 1 | n = | 1 n = 2 | n = 2 | n = 4 | n = 7 | n = 4 | n = 0 | n = 1 | |
Trimethoprim-sulfamethoxazole | – | – | 0 | – | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 |
ESBL-negative Enterobacterales | |||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 8 | n = 12 | n = 8 | n = 2 | n = 8 | n = | 9 n = 15 | n = 22 | n = 15 | n = 34 | n = 25 | n = 29 | n = 31 | |
Ceftazidime | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cefepime | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ciprofloxacin | 0 | 3 | 3 | 0 | 1 | 0 | 5 | 1 | 2 | 10 | 6 | 4 | 5 |
Gentamycin | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 5 |
Piperacillin/tazobactam | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 8 |
Trimethoprim-sulfamethoxazole | 3 | 2 | 3 | 1 | 1 | 1 | 6 | 1 | 0 | 3 | 4 | 2 | 4 |
ESBL-positive Enterobacterales | |||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 15 | n = 13 | n = 4 | n = 4 | n = 2 | n = | 4 n = 1 | n = 11 | n = 7 | n = 11 | n = 9 | n = 10 | n = 3 | |
Amoxicillin/clavulanate | 12 | 9 | 3 | 4 | 2 | 4 | 1 | 11 | 6 | 8 | 9 | 10 | 3 |
Gentamycin | 10 | 9 | 3 | 4 | 2 | 4 | 1 | 8 | 7 | 7 | 6 | 8 | 2 |
Ciprofloxacin | 13 | 11 | 4 | 4 | 2 | 4 | 1 | 11 | 7 | 11 | 9 | 10 | 3 |
Imipenem | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
Meropenem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Trimethoprim-sulfamethoxazole | 13 | 9 | 2 | 3 | 1 | 3 | 1 | 9 | 5 | 11 | 9 | 8 | 3 |
KPC-producing |
|||||||||||||
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
n = 0 | n = 4 | n = 0 | n = 0 | n = 0 | n = | 0 n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | n = 0 | |
Amikacin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
Gentamicin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
Tigecycline | – | 2 | – | – | – | – | – | – | – | – | – | – | – |
Trimethoprim-sulfamethoxazole | – | 4 | – | – | – | – | – | – | – | – | – | – | – |
Colistin | – | 0 | – | – | – | – | – | – | – | – | – | – | – |
NDM-producing |
|||||||||||||
Antimicrobial agent | 2007 n = 0 | 2008 n = 0 | 2009 n = 0 | 2010 n = 0 | 2011 n = 0 | 2012 n = 0 | 2013 n = 0 | 2014 n = 0 | 2015 n = 0 | 2016 n = 0 | 2017 n = 2 | 2018 n = 1 | 2019 n = 2 |
Amikacin | – | – | – | – | – | – | – | – | – | – | 2 | 1 | 2 |
Gentamicin | – | – | – | – | – | – | – | – | – | – | 1 | 1 | 1 |
Tigecycline | – | – | – | – | – | – | – | – | – | – | 2 | 1 | 0 |
Trimethoprim-sulfamethoxazole | – | – | – | – | – | – | – | – | – | – | 1 | 1 | 1 |
Colistin | – | – | – | – | – | – | – | – | – | – | 0 | 0 | 0 |
OXA48-producing |
|||||||||||||
2007 n = 0 | 2008 n = 0 | 2009 n = 0 | 2010 n = 0 | 2011 n = 0 | 2012 n = 0 | 2013 n = 0 | 2014 n = 0 | 2015 n = 0 | 2016 n = 0 | 2017 n = 0 | 2018 n = 0 | 2019 n = 1 | |
Amikacin | – | – | – | – | – | – | – | – | – | – | – | – | 0 |
Gentamicin | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Tigecycline | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Trimethoprim-sulfamethoxazole | – | – | – | – | – | – | – | – | – | – | – | – | 1 |
Colistin | – | – | – | – | – | – | – | – | – | – | – | – | 0 |