Prognostic Factors Associated with Survival in Patients Infected with COVID-19: A Retrospective Study on 214 Patients from Iran.

BACKGROUND: Decision-making on allocating scarce medical resources is crucial in the context of a strong health system reaction to the coronavirus disease 2019 (COVID-19) pandemic. Therefore, understanding the risk factors related to a high mortality rate can enable the physicians for a better decision-making process. METHODS: Information was collected regarding clinical, demographic, and epidemiological features of the definite COVID-19 cases. Through Cox regression and statistical analysis, the risk factors related to mortality were determined. The Kaplan-Meier curve was used to estimate survival function and measure the mean length of living time in the patients. RESULTS: Among about 3000 patients admitted in the Taleghani hospital as outpatients with suspicious signs and symptoms of COVID-19 in 2 months, 214 people were confirmed positive for this virus using the polymerase chain reaction (PCR) technique. Median time to death was 30 days. In this population, 24.29% of the patients died and 24.76% of them were admitted to the ICU (intensive care unit) during hospitalization. The results of Multivariate Cox regression Analysis showed that factors including age (HR, 1.031; 95% CI, 1.001-1.062; P value=0.04), and C-reactive protein (CRP) (HR, 1.007; 95% CI, 1.000-1.015; P value=0.04) could independently predict mortality. Furthermore, the results showed that age above 59 years directly increased mortality rate and decreased survival among our study population. CONCLUSION: Predictor factors play an important role in decisions on public health policy-making. Our findings suggested that advanced age and CRP were independent mortality rate predictors in the admitted patients.

Neurological Manifestations and their Correlated Factors in COVID-19 Patients; a Cross-Sectional Study.

INTRODUCTION: COVID-19 might present with other seemingly unrelated manifestations; for instance, neurological symptoms. This study aimed to evaluate the neurologic manifestations and their correlated factors in COVID-19 patients. METHODS: This retrospective observational study was conducted from March 17, 2020 to June 20, 2020 in a tertiary hospital in Iran. The study population consisted of adult patients with a positive result for COVID-19 real-time reverse transcriptase polymerase chain reaction (RT-PCR) using nasopharyngeal swabs. Both written and electronic data regarding baseline characteristic, laboratory findings, and neurological manifestations were evaluated and reported. RESULTS: 727 COVID-19 patients with the mean age of 49.94 ± 17.49 years were studied (56.9% male). At least one neurological symptom was observed in 403 (55.4%) cases. Headache (29.0%), and smell (22.3%) and taste (22.0%) impairment were the most prevalent neurological symptoms, while seizure (1.1%) and stroke (2.3%) were the least common ones. Patients with neurological manifestations were significantly older (p = 0.04), had greater body mass index (BMI) (p = 0.02), longer first symptom to admission duration (p < 0.001) and were more frequently opium users (p = 0.03) compared to COVID-19 patients without neurological symptoms. O2 saturation was significantly lower in patients with neurological manifestations (p = 0.04). In addition, medians of neutrophil count (p = 0.006), neutrophil-lymphocyte ratio (NLR) (p = 0.02) and c-reactive protein (CRP) (p = 0.001) were significantly higher and the median of lymphocyte count (p = 0.03) was significantly lower in patients with neurological manifestations. CONCLUSION: The prevalence of neurological manifestations in the studied cases was high (55.4%). This prevalence was significantly higher in older age, grated BMI, longer lasting disease, and opium usage.

Clinical and Epidemiological Characteristics of Postdischarge Patients With COVID-19 in Tehran, Iran: Protocol for a Prospective Cohort Study (Tele-COVID-19 Study).

BACKGROUND: COVID-19 was declared a pandemic on March 11, 2020. Given that the severe shortage of hospital beds has led to early discharge and insufficient patient education on home care routines and isolation protocols, the close follow-up of patients and their immediate relatives is an integral part of transitioning from hospital care to home care for patients with COVID-19. OBJECTIVE: We designed the Tele-COVID-19 prospective cohort to follow-up with COVID-19 patients in Tehran, Iran, and improve health care delivery and the recording of postdischarge patients' clinical profiles. METHODS: All adult patients who were admitted to the COVID-19 wards of teaching hospitals in Tehran, Iran were eligible to participate in this cohort study. At baseline, patients were recruited from 4 major hospitals from March 9, 2020 to May 20, 2020. Telephone follow-ups, which were led by volunteer medical students, were conducted on postdischarge days 1-3, 5, 7, 10, and 14. We collected data on a range of sociodemographic, epidemiological, and clinical characteristics by using a standard questionnaire. RESULTS: Of the 950 patients with confirmed COVID-19 who were approached, 823 (response rate: 86.6%) consented and were enrolled into the cohort. Of the 823 participants, 449 (54.5%) were male. The mean age of participants was 50.1 years (SD 12.6 years). During the initial data collection phase, more than 5000 phone calls were made and over 577 reports of critical patients who were in need of urgent medical attention were recorded. CONCLUSIONS: The Tele-COVID-19 cohort will provide patients with sufficient education on home care and isolation, and medical advice on care and the proper use of drugs. In addition, by preventing unnecessary hospital returns and providing information on household SARS-CoV-2 transmission as early as possible, this cohort will help with effective disease management in resource-limited settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/23316.

The characteristics of cancerous patients infected with COVID-19 in hospital setting.

INTRODUCTION: Recently, Covid 19 as a fatal virus has been known as the cause of the pandemic. Different number of the mortality rate in various societies have been reported. However, it seems the underlying comorbidities increase the risk of mortality and the severity of presentation. In this study we evaluated the pattern of presentation of COVID-19 among cancerous patients in terms of severity. METHOD: between 20th February to 22nd April of 2020, among 214 hospitalized patients because of COVID-19. 41 patients revealed the cancer as a synchronous comorbidity. These patients based on the severity of COVID-19 infection presentation were divided to mild and severe groups. Then, the demographic characteristics, manifestation and laboratory data between these groups were compared. RESULT: about 19 (46.34%) of 41 cases were categorized as severe forms of COVID-19 with malignancy. The mean age of severe groups was significantly higher (P=0.00). Dyspnea (48.78%), cough (46.34%) and myalgia (24.39%) were the most common clinical features among cancerous patients with COVID-19.  diarrhea and nearly cough caused significant effects on severe form of presentation of COVID-19 infection (P=0.05, P=0.06, respectively). Hematological cancers were the most frequent types of cancer among these patients (46.34%). White Blood Cell counts were significantly lower in severe groups (P=0.03, P=.0.06, respectively). C-reactive protein is another item that nearly significantly was higher in severe groups of cancerous patients (P=0.06). CONCLUSION: The elderly age, the positive chemotherapy history, diarrhea, cough, declined WBC, PLT and elevated CRP correlated with a severe form of this infection in malignant cases.

COVID-19 and ICU admission associated predictive factors in Iranian patients.

BACKGROUND: The pandemic situation created an overwhelmed needs for ICU facilities, according to this problem, the need of accurate management of facilities represents boldness. In this study, prognostic risk factors for ICU admission among COVID-19 hospitalized patients were evaluated. METHODS: From 22 February to April 20, 2020. A total of 214 COVID-19 patients participated in this study. The included patients were between 18- 80 years old, and the patients who previously admitted for COVID-19 were excluded. The comorbid medical conditions, admission laboratory, demographic data, and first manifestations were analyzed between two groups, including ICU and non-ICU admitted patients. The statistical analysis, univariate and multivariate analysis were afforded. The value of the predictors in the risk assessment of ICU admission was estimated. RESULTS: 55(25.7%) patients were admitted in ICU. The ICU admitted patient's mortality rate was about 68%. The age was significantly higher among ICU admission group (P=0.03). Admission O2 saturation was significantly lower among ICU admitted patients (P=0.00). The kidney disease and malignancy history were more frequent in ICU-admitted patients (P=0.04, P=0.00). Myalgia was the clinical manifestation that significantly presented more frequent in ICU-admitted patients. INR, CRP, ESR, HB, and lymphocyte were significantly different between two groups. After multivariable analysis, admission O2 saturation, hematocrit, CRP and myalgia could significantly predict the risk of ICU admission. Furthermore, the value of predictors was estimated in our study. CONCLUSION: Based on our results, the admission O2 saturation, HCT, CRP levels at first admission and myalgia presentation could be considered as the valuable predictors of ICU admission.

COVID-19-related strokes in adults below 55 years of age: a case series.

BACKGROUND: Coronavirus infection is a novel respiratory disease affecting people across the world. Although the majority of patients present with fever, dyspnea, cough, or myalgia, various signs and symptoms have been reported for this disease. Recently, neurological symptoms have been noticed in patients with COVID-19 with unknown etiology. However, the occurrence of strokes in young and middle aged patients with COVID-19 is not fully explained. METHODS: In this series, six patients younger than 55 years of age with diagnosis of stroke and a confirmed diagnosis of COVID-19 were evaluated for symptoms, lab data, imaging findings, and outcomes from March 2020 to the end of April 2020 from all stroke cases in a tertiary academic hospital. Patients older than 55 and all others who had evidence of cardiac abnormalities (arrhythmia/valvular) were excluded. RESULTS: Fever, myalgia, cough, and dyspnea were the most common clinical symptoms noted in 66.66% (4/6), 66.66% (4/6), 50% (3/6), and 50% (3/6) of the patients, respectively. The mean ± standard deviation (SD) of National Institutes of Health Stroke Scale (NIHSS) for the patient was 10.16 ± 7.13 (ranged 5-24). The most involved area was middle cerebral artery (MCA) (five in MCA versus one in basal ganglia) and the majority of our patients had a low lung involvement score (mean ± SD: 13.16 ± 6.49 out of 24). Finally, one patient was deceased and rest discharged. CONCLUSION: Stroke may be unrelated to age and the extent of lung involvement. However, different factors may play roles in co-occurrence of stroke and COVID-19 and its outcome. Future studies with long-term follow-up and more cases are needed to assess prognostic factors.