Background COVID-19 has caused great concern for patients with underlying medical conditions. We aimed to determine the prognosis of patients with current or previous cancer with either a PCR-confirmed COVID-19 infection or a probable diagnosis according to chest CT scan. Methods We conducted a case control study in a referral hospital on confirmed COVID-19 adult patients with and without a history of cancer from February 25th to April 21st , 2020. Patients were matched according to age, gender, and underlying diseases including ischemic heart disease (IHD), diabetes mellitus (DM), and hypertension (HTN). Demographic features, clinical data, comorbidities, symptoms, vital signs, laboratory findings, and chest computed tomography (CT) images have been extracted from patients’ medical records. Multivariable logistic regression was used to estimate odd ratios and 95% confidence intervals of each factor of interest with outcomes. Results Fifty-three confirmed COVID-19 patients with history of cancer were recruited and compared with 106 non-cancerous COVID-19 patients as controls. Male to female ratio was 1.33 and 45% were older than 65. Dyspnea and fever were the most common presenting symptoms in our population with 57.86 and 52.83% respectively. Moreover, dyspnea was significantly associated with an increased rate of mortality in the cancer subgroup ( p = 0.013). Twenty-six patients (49%) survived among the cancer group while 89 patients (84%) survived in control ( p = 0.000). in cancer group, patients with hematologic cancer had 63% mortality while patients with solid tumors had 37%. multivariate analysis model for survival prediction showed that history of cancer, impaired consciousness level, tachypnea, tachycardia, leukocytosis and thrombocytopenia were associated with an increased risk of death. Conclusion In our study, cancer increased the mortality rate and hospital stay of COVID-19 patients and this effect remains significant after adjustment of confounders. Compared to solid tumors, hematologic malignancies have been associated with worse consequences and higher mortality rate. Clinical and para-clinical indicators were not appropriate to predict death in these patients.
【저자키워드】 COVID-19, Mortality, Cancer, severe clinical events, Logistic regression, case-control study, propensity score matching, Poisson regression, 【초록키워드】 hospital, Infection, Comorbidities, Diabetes Mellitus, Diagnosis, Gender, underlying disease, hypertension, Symptoms, Laboratory, outcomes, Chest computed tomography, survival, Features, clinical, Fever, Dyspnea, female, Patient, death, age, vital signs, mortality rate, demographic, patients, predict, Leukocytosis, Analysis, Hematologic malignancy, solid tumors, chest CT scan, COVID-19 patient, Medical conditions, Hospital stay, tachypnea, presenting symptom, case control study, Tachycardia, Older, 95% confidence interval, increased risk, Clinical data, ischemic heart disease, patients’ medical records, confounders, solid tumor, PCR-confirmed COVID-19, hematologic, controls, consequence, Result, was used, caused, significantly, recruited, conducted, determine, prognosis of patient, survived, COVID-19 adult patient, IHD, non-cancerous, 【제목키워드】 risk factor, outcomes, Characteristics, clinical, hospitalized patient, with COVID-19,