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.

A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries.

Background and aim of the work European COVID-19 statistics showed differentiation between mortality and new cases. Some studies suggested several factors including migration, cancer incidence, life expectancy and health system capacity maybe associated with differentiations. Up to now, impact of those factors in different European societies is not discussed and compared. Aim of the present study was to perform the cluster analysis in European countries in attention to clinical and epidemiological factors due to covid-19. Methods We collected some appropriate extreme data of COVID-19 to access the situations by ANOVA post-hoc test in 3 scenarios, as well as to estimate regression coefficients in simple linear regression, and a cluster analysis using average linkage. Covid-19 Statistics were considered in all analyses until April 24, 2020. Results Among 39 European countries, several countries reported highest rate of confirmed cases included of Italy (current statues=2270.52) and Spain (current status=2616.24). The highest rate of mortality was seen in France (current status=242.16), Italy (current status=305.52). Life expectancy (female) (P=0.01, 95%Cl=1521.27,15264.58), migration (P<0.001, 95%Cl=41.42,96.72) had significant association with confirmed cases and death. Overall cancer death (P<0.001, 95%Cl=0.36,0.68; P<0.001, 95%Cl=0.01,0.07) and lung cancer death (P<0.001, 95%Cl=1.97,3.56; P<0.001, 95%Cl=0.09,0.37) associated with confirmed cases and mortality, too. We were also determined 5 clusters which more than 30 countries were categorized in the first cluster. Conclusions Demographic factors, including population, life expectancy and migration, underlying disorders, such as several types of cancers, especially lung cancers lead to various distribution of COVID-19 in terms of prevalence and mortality, across European counties.

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.

Risk factors related to liver injury in non-Intensive Care Unit admitted patients infected with COVID-19: A retrospective study of 102 patients.

BACKGROUND: COVID-19 targets the liver and there is no available data about liver injury due to mild to moderate form of COVID-19. In this study, we evaluated the risk factors associated with liver injury in NON-ICU admitted COVID-19 patients. METHODS: in this retrospective study, 102 eligible adult participants admitted in the ward were included. The patients with previous history of liver disease were excluded. The patients with AST or ALT or bilirubin more than normal ranges were allocated in liver injury group and patients with normal ranges of them were categorized in non-liver injury. Characteristics and laboratory data were analyzed between these two groups. RESULTS: The mean age of the population was 55.13± 17.02 years old. The most common symptom was fever (45.8%). The most frequent co-morbidity was hypertension (25%). 65 patients had liver injury (63.72%). CRP were significantly higher in liver injury group (P=0.01). Univariate analysis reported ALKP, and CRP was associated significantly with liver injury (P=0.04, OR= 1.003, Cl 95%= 1.000-1.007; P=0.03, OR= 1.009, Cl 95%= 1.000- 1.017, respectively). No independent factor was detected in multivariate analysis. Based on the Spearman's rank correlation coefficients CRP correlated significantly with AST (r=0.22, P=0.00). Moreover, neutrophil and CRP, correlated with ALT (r=0.01, P=0.90; r=0.23, P=0.02, respectively). CONCLUSION: No independent factor was detected to predict liver injury chance due to COVID-19. However, CRP had a significant association with it. It appears that the role of inflammatory pathways in liver damage was due to COVID-19.

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.

Vasculopathy-related cutaneous lesions and intrahepatic cholestasis as synchronous manifestations in a COVID-19 patient; a case report.

Today, COVID-19 pneumonia causes global concern. The World Health Organization (WHO) has reported many mortalities from this disease all around the world. Therefore, recognizing new cases of COVID-19 is crucial during this pandemic. Many studies have shown that COVID-19 has a broad spectrum of signs and symptoms, including GI and cutaneous manifestations. Previous studies have reported liver enzyme changes as well as diarrhea as a common GI manifestation of COVID-19. However, there are few reports about COVID-19 synchronous cutaneous and liver involvement. Additionally, there are few reports about intrahepatic cholestasis in COVID-19 patients. In this article, a confirmed case of COVID-19 with vasculopathy-related cutaneous manifestation and liver cholestasis is reported. A 67-year-old Iranian woman was admitted to Taleghani Hospital with epigastric pain, vomiting, anosmia, rising liver enzyme levels, fever, itching, and skin rashes. Skin and liver biopsies were performed during the patient's admission; the results suggested vasculopathy-related cutaneous lesion and liver cholestasis. Plasmapheresis was initiated and all manifestations disappeared after treatment. All atypical presentations, including cutaneous lesions and liver manifestations, should be considered as COVID-19 and evaluated.

Lethal outcome of Covid-19 pneumonia in a new liver recipient with neurological manifestation.

COVID-19 is a new contagious viral pneumonia with various signs and symptoms, including loss of consciousness, liver injury, and cerebrovascular accident; however, there is little data on the manifestation and outcome of COVID-19 in liver transplant patients. Moreover, because transplant units in Iran were closed from the first day of the COVID-19 pandemic, accurate data about nosocomial COVID-19 and the liver transplant setting is not available. In this article, we introduce a liver transplant recipient with a final fatal outcome, who had had neurological manifestations, and whose COVID-19 manifestations began in the hospital within 2 days of transplant surgery.

The successful management of Thirty-six hepatopancreatobiliary surgeries under the intensive protective arrangements during the COVID-19 pandemic.

ackground: During the pandemic of COVID-19, the overwhelm of infected patients created an exponential surge for ICU and ward beds. As a result, a major proportion of elective surgeries was postponed. However, various emergency and urgent procedures were allowed. Due to the mortality complications of hepatopancreatobiliary issues, we decided to afford urgent procedures under intensive protective arrangements. Method and results: In our ward (liver transplant), 4 ICU beds and 16 ward beds were allocated to non-COVID-19 patients. A total of 36 hepatopancreatobiliary procedures were managed for one month. All the surgeries were afforded under personal protective equipment and other intensive protective arrangements for personnel and patients. During 6 weeks following the surgery, all patients were followed up through telemedicine and no new case of COVID-19 was detected. Conclusion: In general, it appears that intensive protections could significantly reduce the number of COVID-19 incidence among patients with co-morbidities who undergo invasive procedures.

How to overcome cardiovascular challenges in COVID-19 patients: a guide for common practice.

The COVID-19 epidemic initially started in Wuhan, China in December 2019 due to SARS-CoV-2. SARS-CoV-2 is genetically similar to the bat beta-coronavirus genus, but the novel specie of this genus can infect humans. The most common clinical features of COVID-19 are fever, cough, myalgia, fatigue, expectoration, and dyspnea. The primary reported mortality rate was about 2-3% in China; however, it reached up to 10% among patients with underlying cardiovascular diseases. The primary epidemiological investigations showed a high prevalence of underlying cardiovascular diseases in more than 40% of infected patients. A high prevalence of hypertension, ischemic heart disease, and diabetes were reported among deceased patients in Italy. Previous experiments in different pandemic situations showed that the cardiovascular system has been affected in many ways. Previous studies on SARS-CoV and MERS-CoV reported that cardiovascular co-morbidities had a direct correlation with the risk of infection, the severity of disease, and the mortality rate. Therefore, brief and available protocols for controlling the negative effects of this novel respiratory infection on the cardiovascular system, especially in a high-risk populations with underlying cardiovascular conditions, is one of the most serious concerns among healthcare providers. Herein, we aimed to review the available data on the cardiac manifestation of COVID-19. Besides, we described useful maps for the better treatment of COVID-19 infection in patients with underlying cardiovascular conditions, as a high-risk group of patients.