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Clinical and radiological assessment of joints in people with haemophilia in Assam, Northeast India: a cross-sectional study


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A study among PwH attending a clinic in Assam, India, recommends combining clinical and radiological tools (e.g. using HJHS and FISH with HEAD-US) as a cheap and reliable option for assessing joint health consistently in resource-constrained settings
A study among PwH attending a clinic in Assam, India, recommends combining clinical and radiological tools (e.g. using HJHS and FISH with HEAD-US) as a cheap and reliable option for assessing joint health consistently in resource-constrained settings

Figure 1

Distribution of target joints in study participants with severe, moderate and mild factor deficiency (n=57)
Distribution of target joints in study participants with severe, moderate and mild factor deficiency (n=57)

Figure 2

Correlation between Petersson score and Annual Bleeding Rate (ABR) (n=67)
Correlation between Petersson score and Annual Bleeding Rate (ABR) (n=67)

Figure 3

Correlation between Petersson score and age (years) (n=67)
Correlation between Petersson score and age (years) (n=67)

Figure 4

Correlation between Hemophilia Joint Health Score (HJHS) and HEAD-US score (n=67)
Correlation between Hemophilia Joint Health Score (HJHS) and HEAD-US score (n=67)

Figure 5

Correlation between Hemophilia Joint Health Score (HJHS) and Pettersson score (n=67)
Correlation between Hemophilia Joint Health Score (HJHS) and Pettersson score (n=67)

Figure 6

Correlation between Functional Independence Score (FISH) and HEAD-US score (n=67)
Correlation between Functional Independence Score (FISH) and HEAD-US score (n=67)

Figure 7

Comparison of mean HEAD-US, FISH, Pettersson and HJHS scores with factor activity level (n=67)
Comparison of mean HEAD-US, FISH, Pettersson and HJHS scores with factor activity level (n=67)

Figure 8

Comparison of mean ABR, AJBR and ATJBR with factor activity level (n=67)
Comparison of mean ABR, AJBR and ATJBR with factor activity level (n=67)

Figure 9

Comparison of mean age, ABR, number of target joints, FISH and HJHS in inhibitor and non-inhibitor groups (n=67)
Comparison of mean age, ABR, number of target joints, FISH and HJHS in inhibitor and non-inhibitor groups (n=67)

Participant demographics (n=67)

NUMBER (N) PERCENTAGE (%)
Age
12–19 31 46.27%
20–29 25 37.31%
30–39 8 11.94%
40–49 3 4.48%
>50 0 0
Gender
Male 65 97.01%
Female 2 2.99%
Haemophilia type
Haemophilia A 57 85.07%
Haemophilia B 9 13.43%
Acquired haemophilia 1 1.49%
Haemophilia severity*
Severe 38 56.72%
  Haemophilia A 32 47.76%
  Haemophilia B 6 8.96%
Moderate 11 16.42%
  Haemophilia A 9 13.43%
  Haemophilia B 2 2.99%
Mild 17 25.37%
  Haemophilia A 16 23.88%
  Haemophilia B 1 1.49%

Mean and median values of HEAD-US, Pettersson, FISH and HJHS scores and annual bleed rate (ABR) in study participants with severe, moderate and mild factor deficiency (n=67)

SEVERE HAEMOPHILIA MODERATE HAEMOPHILIA MILD HAEMOPHILIA
Mean Median SD Range. Mean Median SD Range. Mean Median SD Range.
HEAD-US 7.42 6.50 5.017 0–25 3.09 2.00 2.59 0–8 1.00 1.00 1.06 0–3
Pettersson 11.53 10.50 8.01 0–39 5.36 3.00 5.14 0–18 1.59 2.00 1.66 0–5
FISH 23.95 24.00 4.55 4–32 28.09 29.00 2.95 22–32 29.65 30.00 2.87 22–32
HJHS 18.76 16.00 11.57 0–59 10.82 6.00 12.82 0–46 3.88 2.00 6.21 0–24
ABR 18.71 15.50 11.98 2–50 6.36 6.00 4.06 0–12 5.44 5.00 3.37 1–12
eISSN:
2055-3390
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Medicine, Basic Medical Science, other, Clinical Medicine, Pharmacy, Pharmacology