Identifying pre-existing conditions and multimorbidity patterns associated with in-hospital mortality in patients with COVID-19

• DOI: 10.1038/s41598-022-20176-w
• Publication Date: 2022-10-15T09:02:55Z
• Authors: Magda Bucholc; Declan Bradley; Damien Bennett; Lynsey Patterson; Rachel Spiers; David Gibson; Hugo Van Woerden; Anthony J. Bjourson
• Keywords: Preexisting Condition Coverage; Science; Q; R; 610; COVID-19; Multimorbidity; Comorbidity; Article; Asthma; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; Cardiovascular Diseases; Neoplasms; Medicine; Humans; Hospital Mortality; Retrospective Studies

We investigated the association between a wide range of comorbidities and COVID-19 in-hospital mortality assessed influence multi morbidity on risk COVID-19-related death using large, regional cohort 6036 hospitalized patients. This retrospective study was conducted Patient Administration System Admissions Discharges data. The International Classification Diseases 10th edition (ICD-10) diagnosis codes were used to identify common outcome measure. Individuals with lymphoma (odds ratio [OR], 2.78;95% CI,1.64-4.74), metastatic cancer (OR, 2.17; 95% CI,1.25-3.77), solid tumour without metastasis 1.67; CI,1.16-2.41), liver disease (OR: 2.50, CI,1.53-4.07), congestive heart failure 1.69; CI,1.32-2.15), chronic obstructive pulmonary 1.43; CI,1.18-1.72), obesity 5.28; CI,2.92-9.52), renal 1.81; CI,1.51-2.19), dementia 1.44; CI,1.17-1.76) at increased mortality. Asthma associated lower compared non-asthma controls 0.60; CI,0.42-0.86). two 1.79; CI, 1.47-2.20; P < 0.001), three or more 1.80; 1.43-2.27; 0.001) increasingly higher when those no underlying conditions. Furthermore, patterns analysed by identifying clusters conditions in hospitalised patients k-mode clustering, an unsupervised machine learning technique. Six patient identified, recognisable co-occurrences different combinations diseases, namely, cardiovascular (100%) (15.6%) diseases Cluster 1; mental neurological disorders metabolic endocrine (19.3%) 2; respiratory (15.0%) 3, (5.9%) genitourinary (9.0%) as well (9.6%) 4; (69.1%) 5; 6. highest 29.4% reported