Waruru Anthony, Onyango Dickens, Nyagah Lilly, Sila Alex, Waruiru Wanjiru, Sava Solomon, Oele Elizabeth, Nyakeriga Emmanuel, Muuo Sheru W, Kiboye Jacqueline, Musingila Paul K, van der Sande Marianne A B, Massawa Thaddeus, Rogena Emily A, DeCock Kevin M, Young Peter W
Division of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Kisumu County Department of Health, Kisumu, Kenya.
PLoS One. 2022 Jan 20;17(1):e0261162. doi: 10.1371/journal.pone.0261162. eCollection 2022.
In resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry.
Medical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen's Kappa (κ) and assessed for the independence of proportions using Pearson's chi-squared test.
The four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26).
Mortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications.
在资源有限的环境中,往往无法系统地确定根本死因(UCOD),导致死亡率统计数据不可靠。我们查阅了肯尼亚基苏木县两家高流量停尸房死者的病历,以确定根本死因,并将确定的根本死因与通知给民事登记处的死因进行比较。
接受过死因认证培训的医学专家查阅了病历,并确定了2019年4月16日至7月12日期间入住停尸房的456名死者的死因。对HIV状况不明或在死亡日期前90天以上检测为HIV阴性的死者进行了HIV检测。我们根据全球疾病负担(GBD)类别计算了按年率计算的全死因和特定病因死亡率,并分别计算了因艾滋病毒/艾滋病导致的死亡人数,以每10万人口中的估计死亡人数表示。我们使用科恩卡方检验(κ)比较了通知的根本死因和确定的根本死因,并使用皮尔逊卡方检验评估了比例的独立性。
四大主要根本死因是艾滋病毒/艾滋病(102/442 [23.1%])、高血压疾病(41/442 [9.3%])、其他心血管疾病(23/442 [5.2%])和癌症(20/442 [4.5%])。全死因死亡率为每10万人口1086例。特定病因死亡率最高的是GBD类别II(非传染性疾病;516/10万),其次是GBD I(传染性、围产期、孕产妇和营养性疾病;513/10万)和III(伤害;56/10万)。艾滋病毒/艾滋病死亡率为每10万人口251例。GBD II类病因导致的死亡比例在女性中(51.9%)高于男性死者(42.1%;p = 0.039)。相反,死于GBD III类病因的男性/男孩(8.6%)多于女性/女孩(2.1%;p = 0.002)。在大多数有可用记录和确定的根本死因的记录中(n = 236),167例(70.8%)的根本死因记录错误,通知的根本死因和确定的根本死因之间的一致性较差(29.2%;κ = 0.26)。
基苏木县传染病死亡率,尤其是艾滋病毒/艾滋病死亡率很高,但非传染性疾病死亡率呈上升趋势,这可能反映了流行病学转变以及艾滋病毒治疗效果的改善。流行病学转变表明,尽管传染病负担很重,但仍需要更多地关注控制非传染性疾病。通知的根本死因和确定的根本死因之间的一致性较弱,可能导致完全依赖死亡通知的死亡率统计数据出现重大不准确。