Nguyen Hai, Manolova Gergana, Daskalopoulou Christina, Vitoratou Silia, Prince Martin, Prina A Matthew
Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.
J Comorb. 2019 Aug 22;9:2235042X19870934. doi: 10.1177/2235042X19870934. eCollection 2019 Jan-Dec.
With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs).
Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term 'multimorbidity' and its various spellings were used, alongside 'prevalence' or 'epidemiology'. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used.
Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses ( > 99%). A sensitivity analysis showed that none of the reviewed studies skewed the overall pooled estimates.
A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.
随着全球人口老龄化,多种疾病并存(同一个体患有两种或更多种慢性病)成为公共卫生领域的一个主要问题。尽管多种疾病并存与年龄相关,但其患病率存在差异。本系统评价旨在总结并荟萃分析高收入、低收入和中等收入国家(高收入国家和低收入及中等收入国家)多种疾病并存的患病率。
通过检索电子数据库(Medline、Embase、PsycINFO、全球健康、科学引文索引和考克兰图书馆)来识别研究。使用了“多种疾病并存”一词及其各种拼写形式,同时使用了“患病率”或“流行病学”。质量评估采用纽卡斯尔-渥太华量表。根据多种疾病并存的操作定义、高收入国家/低收入及中等收入国家状况、性别和年龄进行了总体和分层分析。荟萃分析使用随机效应模型。
最终样本纳入了70项基于社区的研究(在18个高收入国家和31个低收入及中等收入国家开展)。样本量从264到162,464不等。多种疾病并存的总体合并患病率为33.1%(95%置信区间(CI):30.0 - 36.3%)。高收入国家和低收入及中等收入国家的合并估计值存在相当大的差异,患病率分别为37.9%(95%CI:32.5 - 43.4%)和29.7%(26.4 - 33.0%)。总体和分层分析中,各研究间的异质性都很高(I²>99%)。敏感性分析表明所纳入的研究均未使总体合并估计值产生偏差。
全球很大一部分人口,尤其是65岁及以上人群,受到多种疾病并存的影响。为了准确估计疾病负担,并进行有效的疾病管理和资源分配,需要对多种疾病并存进行标准化操作。