Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes.
Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes.
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DOI：
10.1038/s41598-023-32469-9
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发表时间：
2023-06-20
影响因子：
4.6
通讯作者：
Jacob, Joseph
中科院分区：
文献类型：
--
作者：
Rangelov, Bojidar;Young, Alexandra;Lilaonitkul, Watjana;Aslani, Shahab;Taylor, Paul;Guomundsson, Eyjolfur;Yang, Qianye;Hu, Yipeng;Hurst, John R.;Hawkes, David J.;Jacob, Joseph
COVID-19 大流行对全球医疗保健系统构成了巨大挑战。它强调需要强大的预测模型，可以轻松部署该模型来揭示疾病过程中的异质性，帮助决策并确定治疗的优先顺序。我们根据 11 种常见记录的临床指标，采用了无监督数据驱动模型 SuStaIn，用于治疗 COVID-19 等短期传染病。我们使用了国家 COVID-19 胸部影像数据库 (NCCID) 中因 RT-PCR 确诊的 COVID-19 疾病而住院的 1344 名患者，将他们平均分为训练组和独立验证组。我们发现了三种 COVID-19 亚型（一般血流动力学、肾脏和免疫学）并引入了疾病严重程度阶段，当使用 Cox 比例风险模型进行分析时，这两种亚型都可以预测院内死亡或治疗升级的不同风险。还发现了一种低风险的正常亚型。该模型和我们的完整管道可在线获取，并且可以针对未来 COVID-19 或其他传染病的爆发进行调整。
The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed to uncover heterogeneities in disease course, aid decision-making and prioritise treatment. We adapted an unsupervised data-driven model—SuStaIn, to be utilised for short-term infectious disease like COVID-19, based on 11 commonly recorded clinical measures. We used 1344 patients from the National COVID-19 Chest Imaging Database (NCCID), hospitalised for RT-PCR confirmed COVID-19 disease, splitting them equally into a training and an independent validation cohort. We discovered three COVID-19 subtypes (General Haemodynamic, Renal and Immunological) and introduced disease severity stages, both of which were predictive of distinct risks of in-hospital mortality or escalation of treatment, when analysed using Cox Proportional Hazards models. A low-risk Normal-appearing subtype was also discovered. The model and our full pipeline are available online and can be adapted for future outbreaks of COVID-19 or other infectious disease.
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影响因子：
9.2
作者：
Cushnan D;Bennett O;Berka R;Bertolli O;Chopra A;Dorgham S;Favaro A;Ganepola T;Halling-Brown M;Imreh G;Jacob J;Jefferson E;Lemarchand F;Schofield D;Wyatt JC;NCCID Collaborative
通讯作者：
NCCID Collaborative
DOI：
10.1016/s2213-2600(21)00383-0
发表时间：
2021-11
期刊：
The Lancet. Respiratory medicine
影响因子：
--
作者：
Evans RA;McAuley H;Harrison EM;Shikotra A;Singapuri A;Sereno M;Elneima O;Docherty AB;Lone NI;Leavy OC;Daines L;Baillie JK;Brown JS;Chalder T;De Soyza A;Diar Bakerly N;Easom N;Geddes JR;Greening NJ;Hart N;Heaney LG;Heller S;Howard L;Hurst JR;Jacob J;Jenkins RG;Jolley C;Kerr S;Kon OM;Lewis K;Lord JM;McCann GP;Neubauer S;Openshaw PJM;Parekh D;Pfeffer P;Rahman NM;Raman B;Richardson M;Rowland M;Semple MG;Shah AM;Singh SJ;Sheikh A;Thomas D;Toshner M;Chalmers JD;Ho LP;Horsley A;Marks M;Poinasamy K;Wain LV;Brightling CE;PHOSP-COVID Collaborative Group
通讯作者：
PHOSP-COVID Collaborative Group
COVID-19 国家早期预警评分 (NEWS2) 的评估和改进：一项多医院研究
影响因子：
9.3
作者：
Carr E;Bendayan R;Bean D;Stammers M;Wang W;Zhang H;Searle T;Kraljevic Z;Shek A;Phan HTT;Muruet W;Gupta RK;Shinton AJ;Wyatt M;Shi T;Zhang X;Pickles A;Stahl D;Zakeri R;Noursadeghi M;O'Gallagher K;Rogers M;Folarin A;Karwath A;Wickstrøm KE;Köhn-Luque A;Slater L;Cardoso VR;Bourdeaux C;Holten AR;Ball S;McWilliams C;Roguski L;Borca F;Batchelor J;Amundsen EK;Wu X;Gkoutos GV;Sun J;Pinto A;Guthrie B;Breen C;Douiri A;Wu H;Curcin V;Teo JT;Shah AM;Dobson RJB
通讯作者：
Dobson RJB
多发性硬化症中区域灰质萎缩的进展。
DOI：
10.1093/brain/awy088
发表时间：
2018-06-01
期刊：
Brain : a journal of neurology
影响因子：
--
作者：
Eshaghi A;Marinescu RV;Young AL;Firth NC;Prados F;Jorge Cardoso M;Tur C;De Angelis F;Cawley N;Brownlee WJ;De Stefano N;Laura Stromillo M;Battaglini M;Ruggieri S;Gasperini C;Filippi M;Rocca MA;Rovira A;Sastre-Garriga J;Geurts JJG;Vrenken H;Wottschel V;Leurs CE;Uitdehaag B;Pirpamer L;Enzinger C;Ourselin S;Gandini Wheeler-Kingshott CA;Chard D;Thompson AJ;Barkhof F;Alexander DC;Ciccarelli O
通讯作者：
Ciccarelli O
影响因子：
3.2
作者：
Kucuk, Ugur;Gazi, Emine;Duygu, Ali;Aksit, Ercan
通讯作者：
Aksit, Ercan