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New challenges for an expanding generation of older persons with haemophilia Cover

New challenges for an expanding generation of older persons with haemophilia

Open Access
|Mar 2022

Figures & Tables

The advent of prophylaxis has raised expectations that people with haemophilia will develop less joint damage and experience a normal life expectancy compared with earlier generations – but considerations around quality of life and age-related disorders must also be taken into account© Shutterstock
The advent of prophylaxis has raised expectations that people with haemophilia will develop less joint damage and experience a normal life expectancy compared with earlier generations – but considerations around quality of life and age-related disorders must also be taken into account© Shutterstock

Figure 1

Median number of affected joints by age category in the CHESS populationNote: Figures presents the median and inter-quartile range (IQR) of the number of affected joints for each age category. The Kruskal-Wallis test compares difference between the overall groups (global p-value). Individual, sequential pairwise comparison are made between each age category pairs based on Wilcoxon test. All variables presented are from the CRF.
Median number of affected joints by age category in the CHESS populationNote: Figures presents the median and inter-quartile range (IQR) of the number of affected joints for each age category. The Kruskal-Wallis test compares difference between the overall groups (global p-value). Individual, sequential pairwise comparison are made between each age category pairs based on Wilcoxon test. All variables presented are from the CRF.

Figure 2

Median number of comorbidities by age group in the CHESS populationNote: Figures presents the median and inter-quartile range (IQR) of the number of affected joints for each age category. The Kruskal-Wallis test compares difference between the overall groups (global p-value). Individual, sequential pairwise comparison are made between each age category pairs based on Wilcoxon test. All variables presented are from the CRF.
Median number of comorbidities by age group in the CHESS populationNote: Figures presents the median and inter-quartile range (IQR) of the number of affected joints for each age category. The Kruskal-Wallis test compares difference between the overall groups (global p-value). Individual, sequential pairwise comparison are made between each age category pairs based on Wilcoxon test. All variables presented are from the CRF.

Figure 3

EQ-Visual analogue scale (EQ-VAS) and EQ-5D index score by age category (standard errors)Note: All variables presented in Figure 3 are from the PSCAbbreviations: CHESS: The Cost of Haemophilia across Europe: a Socioeconomic Survey; HSE: Health Survey for England
EQ-Visual analogue scale (EQ-VAS) and EQ-5D index score by age category (standard errors)Note: All variables presented in Figure 3 are from the PSCAbbreviations: CHESS: The Cost of Haemophilia across Europe: a Socioeconomic Survey; HSE: Health Survey for England

Prevalence of each comorbid disease and mean number of reported comorbidities

COMORBIDITIESN% WITH COMORBIDITYMEAN COMORBIDITY ± SEMEAN COMORBIDITY ± SD
None624---
Alcohol dependency413%1.93 ± 0.361.93 ± 2.33
Anaemia736%2.03 ± 0.242.03 ± 2.05
Anxiety17714%1.29 ± 0.121.29 ± 1.53
Depression16714%1.5 ± 0.131.5 ± 1.71
Diabetes mellitus645%1.84 ± 0.291.84 ± 2.33
Fibromyalgia413%1.85 ± 0.341.85 ± 2.19
Hepatitis B Virus222%2.55 ± 0.612.55 ± 2.84
Hepatitis C Virus655%1.92 ± 0.261.92 ± 2.11
HIV353%2.06 ± 0.382.06 ± 2.24
Hypertension15012%1.61 ± 0.151.61 ± 1.89
Hypercholesterolemia867%2.48 ± 0.232.48 ± 2.13
Ischaemic heart disease202%3.8 ± 0.573.8 ± 2.57
Obesity696%2.09 ± 0.272.09 ± 2.24
Osteoarthritis786%2.35 ± 0.252.35 ± 2.25
Osteoporosis161%3.63 ± 0.823.63 ± 3.28
Rheumatoid arthritis121%3.67 ± 1.053.67 ± 3.65
Other192%2.11 ± 0.492.11 ± 2.13

Mean (standard deviation) and median of minor, major and total bleeds in the previous 12 months by treatment strategy

18–3031–4041–5051–6061+
NMEDIANMEANSDNMEDIANMEANSDNMEDIANMEANSDNMEDIANMEANSDNMEDIANMEANSD
Minor Bleeds
PX21712.377.02----------------
PXOD13123.333.6016422.893.7510234.074.776233.193.053223.384.14
AOD14934.744.885912.644.005013.044.593223.344.884711.913.02
PPOD7223.944.203822.973.043424.9110.331623.694.252223.412.61
Major Bleeds
PX21700.240.58----------------
PXOD13100.721.1716400.831.6910201.142.136211.552.01320.51.221.70
AOD14900.881.405900.631.085000.921.383210.720.774710.941.19
PPOD7200.831.453800.821.643402.006.83160.50.690.792211.411.87
ABR
PX21712.617.10----------------
PXOD13134.054.1216423.725.101023.55.216.126244.744.623234.595.41
AOD14945.625.515923.274.665023.965.643224.065.114722.854.02
PPOD7234.785.023833.793.883436.9116.961624.384.812234.823.71

Percentage of populations reporting problems for each EQ-5D domain and mean (standard error) of EQ-5D index and EQ-VAS for both the CHESS and HSE sample populations

AGE GROUP POPULATION18–3031–4041–5051–6061+
CHESSHSECHESSHSECHESSHSECHESSHSECHESSHSE
Mobility (n)2104881204778956851571521090
  No Problems78.1%95.5%60.8%94.1%48.3%90.0%41.2%80.9%32.7%68.6%
  Some Problems21.9%4.3%39.2%5.9%50.6%10.0%54.9%18.2%63.5%31.3%
  Unable/Extreme Problems-0.2%--1.1%-3.9%0.9%3.8%0.1%
Self-care (n)2064881204778956950570521076
  No Problems92.7%99.4%77.5%98.7%75.3%96.1%56.0%93.5%48.1%89.9%
  Some Problems7.3%0.6%20.8%1.3%24.7%3.5%40.0%6.1%44.2%9.8%
  Unable/Extreme Problems--1.7%--0.4%4.0%0.4%7.7%0.4%
Usual Activities (n)2094871204768956951570521085
  No Problems80.4%93.6%68.3%94.7%52.8%88.6%52.9%84.7%48.1%76.6%
  Some Problems19.1%6.2%30.8%5.0%46.1%10.7%39.2%13.5%44.2%20.9%
  Unable/Extreme Problems0.5%0.2%0.8%0.2%1.1%0.7%7.8%1.8%7.7%2.5%
Pain (n)2104881204778956951571521090
  No Problems51.9%87.3%31.7%83.6%31.5%71.9%33.3%65.5%34.6%53.2%
  Some Problems45.7%12.1%65.8%15.9%65.2%25.1%58.8%29.2%57.7%41.3%
  Unable/Extreme Problems2.4%0.6%2.5%0.4%3.4%3.0%7.8%5.3%7.7%5.5%
Anxiety/depression (n)2104871194778956551570521084
  No Problems70.0%86.0%59.7%86.8%55.1%82.3%51.0%79.3%38.5%83.0%
  Some Problems28.1%12.3%34.5%12.6%37.1%14.3%47.1%17.4%50.0%15.1%
  Unable/Extreme Problems1.9%1.6%5.9%0.6%7.9%3.4%2.0%3.3%11.5%1.8%
EQ-5D Index Score (n)2054831194768956450565521065
  Mean (se)0.82 (0.01)0.94 (0.01)0.72 (0.02)0.94 (0.01)0.69 (0.03)0.88 (0.01)0.63 (0.05)0.84 (0.01)0.57 (0.05)0.81 (0.01)
EQ-VAS (n)209427119428895055051051965
  Mean (se)75.21 (0.99)81.98 (0.71)69.29 (1.37)81.76 (0.67)64.96 (1.72)79.84 (0.73)65.50 (2.49)76.73 (1.73)60.92 (2.49)74.30 (0.62)

j_jhp-2022-0001_tab_002a

AGE GROUPMINOR BLEEDSMAJOR BLEEDSABR
PXPXODAODPPODPXPXODAODPPODPXPXODAODPPOD
18–30
n217131149722171311497221713114972
Median123200001343
Mean2.373.334.743.940.240.720.880.832.614.055.624.78
SD7.023.604.884.200.581.171.401.457.104.125.515.02
Min000000000000
Max1003030184888100303822
31–40
n-1645938-1645938-1645938
Median-212-000-223
Mean-2.892.642.97-0.830.630.82-3.723.273.79
SD-3.754.003.04-1.691.081.64-5.104.663.88
Min-000-000-000
Max-352012-1266-472615
41–50
n-1025034-1025034-1025034
Median-312-000-3.523
Mean-4.073.044.91-1.140.922.00-5.213.966.91
SD-4.774.5910.33-2.131.386.83-6.125.6416.96
Min-000-000-000
Max-302060-15640-3326100
51–60
n-623216-623216-623216
Median-322-110.5-422
Mean-3.193.343.69-1.550.720.69-4.744.064.38
SD-3.054.884.25-2.010.770.79-4.625.114.81
Min-000-000-000
Max-162415-1032-262616
61+
n-324722-324722-324722
Median-212-0.511-323
Mean-3.381.913.41-1.220.941.41-4.592.854.82
SD-4.143.022.61-1.701.191.87-5.414.023.71
Min-001-000-001
Max-162012-678-222714

CHESS sample demographics

18–2930–3940–4950–5960+P-VALUE
CRF Complete (n)569261186110101
Age (mean (SD))23.4 (3.77)35.3 (2.85)44.9 (2.87)55.2 (2.76)67.7 (5.30)
PSC Complete37% (n=211)46% (n=120)48% (n=89)46% (n=51)51% (n=52)0.0064*
Haemophilia subtype
A77% (n=436)79% (n=207)82% (n=153)71% (n=78)74% (n=75)0.1676
B23% (n=133)21% (n=54)18% (n=33)29% (n=32)26% (n=26)
Education Level
None2% (n=4)1% (n=1)3% (n=3)2% (n=1)6% (n=3)0.1493
Primary17% (n=35)17% (n=20)17% (n=15)20% (n=10)19% (n=10)
Secondary40% (n=85)37% (n=44)48% (n=43)41% (n=21)42% (n=22)
Undergraduate25% (n=53)32% (n=38)24% (n=21)24% (n=12)17% (n=9)
Postgraduate14% (n=30)11% (n=13)6% (n=5)14% (n=7)6% (n=3)
Other2% (n=4)3% (n=4)2% (n=2)10% (n=5)
Employment
Full-time employed26% (n=147)46% (n=121)44% (n=82)31% (n=34)8% (n=8)<0.000
Part-time employed13% (n=75)23% (n=61)23% (n=43)16% (n=18)8% (n=8)
Self-employed6% (n=32)12% (n=31)11% (n=21)14% (n=15)12% (n=12)
Student45% (n=254)2% (n=5)1% (n=1)
Retired0% (n=1)1% (n=1)14% (n=15)63% (n=64)
Unemployed9% (n=53)10% (n=25)10% (n=18)14% (n=15)4% (n=4)
Homemaker1% (n=2)2% (n=3)4% (n=4)2% (n=2)
Physically Unable Haem Related1% (n=4)5% (n=13)9% (n=16)6% (n=7)3% (n=3)
Physically Unable Other Reason0% (n=2)1% (n=1)2% (n=2)
Other0% (n=2)1% (n=2)
Language: English
Page range: 1 - 13
Published on: Mar 9, 2022
Published by: Haemnet Ltd
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Jamie O’Hara, Declan Noone, Persefoni Kritikou, Karl-Johan Myren, Steve Chaplin, Daniel P Hart, published by Haemnet Ltd
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.