A major risk factor of COVID-19 severity is the patient’s health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patterns, each with its particular repercussions on the clinical outcome of infected patients. Network analysis in our population revealed that not all cardiovascular patterns have the same risk of COVID-19 hospitalization or mortality and that this risk depends on the pattern of multimorbidity, besides age and sex. We evidenced that negative outcomes were strongly related to patterns in which diabetes and obesity stood out in older women and men, respectively. In younger adults, anxiety was another disease that increased the risk of severity, most notably when combined with menstrual disorders in women or atopic dermatitis in men. These results have relevant implications for organizational, preventive, and clinical actions to help meet the needs of COVID-19 patients.
【저자키워드】 public health, Risk factors, Health care, Epidemiology, Statistics, 【초록키워드】 Anxiety, Mortality, Hospitalization, obesity, severity, Infection, COVID-19 severity, risk, outcome, risk factor, chronic disease, Clinical outcome, Adults, Cluster, Health status, network, women, disease, COVID-19 patients, Analysis, atopic dermatitis, Multimorbidity, Older, infected patients, poor prognosis, help, men, implication, risk of COVID-19, the patient, conditions, evidenced, age and sex, diabete, Numerous, increased the risk, menstrual disorder, strongly related, 【제목키워드】 severity, Patient, network analysis, Multimorbidity, profile, identifying, with COVID-19,