Cirrhosis and fungal infections‐a cocktail for catastrophe: A systematic review and meta‐analysis with machine learning

医学 内科学 相对风险 荟萃分析 肝硬化 真菌血症 胃肠病学 外科 置信区间 真菌病
作者
Nipun Verma,Shreya Singh,Akash Roy,Arun Valsan,Pratibha Garg,Pranita Pradhan,Arunaloke Chakrabarti,Meenu Singh
出处
期刊:Mycoses [Wiley]
卷期号:65 (9): 844-858 被引量:4
标识
DOI:10.1111/myc.13482
摘要

Abstract Objectives We evaluated the magnitude and factors contributing to poor outcomes among cirrhosis patients with fungal infections (FIs). Methods We searched PubMed, Embase, Ovid and WOS and included articles reporting mortality in cirrhosis with FIs. We pooled the point and relative‐risk (RR) estimates of mortality on random‐effects meta‐analysis and explored their heterogeneity ( I 2 ) on subgroups, meta‐regression and machine learning (ML). We assessed the study quality through New‐Castle‐Ottawa Scale and estimate‐asymmetry through Eggers regression. (CRD42019142782). Results Of 4345, 34 studies (2134 patients) were included (good/fair/poor quality: 12/21/1). Pooled mortality of FIs was 64.1% (95% CI: 55.4–72.0, I 2 : 87%, p < .01), which was 2.1 times higher than controls (95% CI: 1.8–2.5, I 2 :89%, p < .01). Higher CTP (MD: +0.52, 95% CI: 0.27–0.77), MELD (MD: +2.75, 95% CI: 1.21–4.28), organ failures and increased hospital stay (30 vs. 19 days) were reported among cases with FIs. Patients with ACLF (76.6%, RR: 2.3) and ICU‐admission (70.4%, RR: 1.6) had the highest mortality. The risk was maximum for pulmonary FIs (79.4%, RR: 1.8), followed by peritoneal FIs (68.3%, RR: 1.7) and fungemia (55%, RR: 1.7). The mortality was higher in FIs than in bacterial (RR: 1.7) or no infections (RR: 2.9). Estimate asymmetry was evident (p < 0.05). Up to 8 clusters and 5 outlier studies were identified on ML, and the estimate‐heterogeneity was eliminated by excluding such studies. Conclusions A substantially worse prognosis, poorer than bacterial infections in cirrhosis patients with FIs, indicates an unmet need for improving fungal diagnostics and therapeutics in this population. ACLF and ICU admission should be included in the host criteria for defining IFIs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CO2发布了新的文献求助10
1秒前
uniquedl完成签到 ,获得积分10
1秒前
nextconnie发布了新的文献求助10
1秒前
子伊完成签到 ,获得积分10
2秒前
5秒前
5秒前
5秒前
今后应助憨鬼憨切采纳,获得10
7秒前
7秒前
8秒前
greenPASS666完成签到,获得积分10
10秒前
KYN发布了新的文献求助10
10秒前
11秒前
meng发布了新的文献求助10
11秒前
12秒前
Leon发布了新的文献求助10
12秒前
axunQAQ发布了新的文献求助10
12秒前
111发布了新的文献求助10
13秒前
14秒前
cc发布了新的文献求助10
17秒前
程勋航完成签到,获得积分10
17秒前
HH完成签到,获得积分10
17秒前
陆千万完成签到,获得积分10
19秒前
我是125应助老疯智采纳,获得10
19秒前
LEE发布了新的文献求助10
19秒前
Leon完成签到,获得积分10
22秒前
愉快的紫丝完成签到,获得积分10
22秒前
24秒前
玩命的紫南完成签到 ,获得积分10
25秒前
25秒前
25秒前
剁辣椒蒸鱼头完成签到 ,获得积分10
27秒前
牛牛要当院士喽完成签到,获得积分10
27秒前
27秒前
香蕉觅云应助lyt采纳,获得10
28秒前
WJ发布了新的文献求助10
29秒前
30秒前
dbq完成签到 ,获得积分10
30秒前
Owen应助reck采纳,获得10
32秒前
王淳完成签到 ,获得积分10
32秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849