Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.
Christiana KartsonakiJ Kenneth BaillieNoelia García BarrioJoaquín BaruchAbigail BeaneOyewale TomoriFernando BozzaTessa BroadleyAidan BurrellGail CarsonBarbara Wanjiru CitarellaAndrew DagensEmmanuelle A DankwaChristl A DonnellyJake DunningLoubna ElotmaniMartina EscherNataly FarshaitJean-Christophe GoffardBronner P GonçalvesMatthew HallMadiha HashmiBenedict Sim Lim HengAntonia Ying Wai HoWaasila JassatMiguel Pedrera JiménezCedric LaouenanSamantha LissauerIgnacio Martin-LoechesFrance MentréLaura MersonBen MortonDaniel MunblitNikita A NekliudovAlistair D NicholBudha Charan Singh OinamDavid OngPrasan Kumar PandaMichele PetrovicMark G PritchardNagarajan RamakrishnanGrazielle Viana RamosClaire RogerOana SandulescuMalcolm G SemplePratima SharmaLouise SigfridEmily C SomersAnca Streinu-CercelFabio TacconePavan Kumar VechamBharath Kumar Tirupakuzhi VijayaraghavanJia WeiEvert-Jan WilsXin Ci WongPeter W HorbyAmanda RojekPiero L Olliaronull nullPublished in: International journal of epidemiology (2023)
Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death.
Keyphrases
- coronavirus disease
- sars cov
- end stage renal disease
- ejection fraction
- chronic kidney disease
- metabolic syndrome
- type diabetes
- insulin resistance
- newly diagnosed
- weight loss
- prognostic factors
- emergency department
- peritoneal dialysis
- electronic health record
- big data
- respiratory syndrome coronavirus
- body mass index
- skeletal muscle
- machine learning
- adipose tissue
- adverse drug
- patient reported outcomes
- physical activity
- artificial intelligence