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Kianoush B. Kashani

Bio: Kianoush B. Kashani is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 7 citations.

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08 Mar 2020
TL;DR: It is demonstrated that SARS-CoV-2 infection-related critical illness predominantly affected old individuals with comorbidities and characterized by severe hypoxemic respiratory failure, often requiring prolonged mechanical ventilation and rescue therapies.
Abstract: Importance: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections outbreak in China is now a global issue. There is only a limited understanding of the clinical characteristics of patients with SARS-CoV-2 infections is available.Objective:To describe the characteristics, management strategies, and outcomes of critically ill patients with SARS-CoV-2 infection.Design, Setting, and Patients: This is aretrospective, multi-center case series of 50 critically ill patients with confirmed SARS-CoV-2 infection who were admitted at Zhongnan Hospital of Wuhan University and Wuhan Pulmonary Hospital in Wuhan, China, from January 8 to February 9, 2020.Exposures:Documented Corona Virus Disease, 2019 (COVID-19).Main Outcome Measures: Demographic, clinical, laboratory, imaging data were collected along with management strategies, complications and outcomes of enrolled individuals. Results Fifty critically ill patients with SARS-CoV-2 infections were enrolled. Their median age was 62 (range, 29-92) [IQR,49.5-69.0] years, 68% were male, and 28 (56%) patients had comorbidities, the most common being hypertension. In this cohort, 20(40%) patients survived ,16(32%) patients died, and the rest remained hospitalized. The invasive mechanical ventilator was used in 36(72%) patients with 15(30%) of them requiring prone positioning, and 17(34%) switched to ECMO. The compliance scores of lungs (Cstat)on the day of ICU admission among survivors were higher than those in non-survivors [42.0(18.0-47.0), vs. 19.5(14.0-24.2), p=0.038].The blood IL-6 levels and neutrophils counts at the first day of ICU admission were significantly higher in non-survivors compared to survivors [123.7(85.3-228.8), vs. 20.2(6.8-67.2) ng/ml, p=0.025 for IL-6, and 20.2(6.8-67.2) vs. 4.01(1.99-7.05) × 10⁹/L, p=0.02 for neutrophils counts].The heart rates, PaCO2, lung injury scale (LIS), and positive end-expiratory pressure levels were constantly higher for 10 days in non-survivors than those who survived (p<0.05). The frequency of vasopressor uses and neuromuscular blockers was higher in non-survivors from day 1 to day 10 compared to survivors (p<0.05). In the whole cohort, the most common complications were ARDS (97%), shock (44%), arrhythmia (38%), acute cardiac injury (26%), and acute kidney injury (22%). A secondary bacterial infection was noted in 17(34%) patients. Univariate analysis indicated that lower lung complianceand higher neutrophil counts at the day of ICU admission were related to higher mortality (p-0.03, and 0.04, respectively)ConclusionWe demonstrated that SARS-CoV-2 infection-related critical illness predominantly affected old individuals with comorbidities and characterized by severe hypoxemic respiratory failure, often requiring prolonged mechanical ventilation and rescue therapies. Low lung compliance and persistently elevated PaCO2 indicated poor outcomes.

9 citations


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Journal ArticleDOI
17 Nov 2020-PLOS ONE
TL;DR: In this article, a systematic review is conducted to identify prognostic factors that may be used in decision-making related to the care of patients infected with SARS-CoV-2.
Abstract: Background and purpose The objective of our systematic review is to identify prognostic factors that may be used in decision-making related to the care of patients infected with COVID-19. Data sources We conducted highly sensitive searches in PubMed/MEDLINE, the Cochrane Central Register of Controlled Trials (CENTRAL) and Embase. The searches covered the period from the inception date of each database until April 28, 2020. No study design, publication status or language restriction were applied. Study selection and data extraction We included studies that assessed patients with confirmed or suspected SARS-CoV-2 infectious disease and examined one or more prognostic factors for mortality or disease severity. Reviewers working in pairs independently screened studies for eligibility, extracted data and assessed the risk of bias. We performed meta-analyses and used GRADE to assess the certainty of the evidence for each prognostic factor and outcome. Results We included 207 studies and found high or moderate certainty that the following 49 variables provide valuable prognostic information on mortality and/or severe disease in patients with COVID-19 infectious disease: Demographic factors (age, male sex, smoking), patient history factors (comorbidities, cerebrovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cardiovascular disease, cardiac arrhythmia, arterial hypertension, diabetes, dementia, cancer and dyslipidemia), physical examination factors (respiratory failure, low blood pressure, hypoxemia, tachycardia, dyspnea, anorexia, tachypnea, haemoptysis, abdominal pain, fatigue, fever and myalgia or arthralgia), laboratory factors (high blood procalcitonin, myocardial injury markers, high blood White Blood Cell count (WBC), high blood lactate, low blood platelet count, plasma creatinine increase, high blood D-dimer, high blood lactate dehydrogenase (LDH), high blood C-reactive protein (CRP), decrease in lymphocyte count, high blood aspartate aminotransferase (AST), decrease in blood albumin, high blood interleukin-6 (IL-6), high blood neutrophil count, high blood B-type natriuretic peptide (BNP), high blood urea nitrogen (BUN), high blood creatine kinase (CK), high blood bilirubin and high erythrocyte sedimentation rate (ESR)), radiological factors (consolidative infiltrate and pleural effusion) and high SOFA score (sequential organ failure assessment score). Conclusion Identified prognostic factors can help clinicians and policy makers in tailoring management strategies for patients with COVID-19 infectious disease while researchers can utilise our findings to develop multivariable prognostic models that could eventually facilitate decision-making and improve patient important outcomes. Systematic review registration Prospero registration number: CRD42020178802. Protocol available at: https://www.medrxiv.org/content/10.1101/2020.04.08.20056598v1.

428 citations

Journal ArticleDOI
TL;DR: Cardiac injury is associated with mortality, need for ICU care, and severity of disease in patients with COVID-19, and this meta-analysis showed that cardiac injury was associated with higher mortality.
Abstract: Background In this systematic review and meta-analysis, we aimed to explore the association between cardiac injury and mortality, the need for intensive care unit (ICU) care, acute respiratory distress syndrome (ARDS), and severe coronavirus disease 2019 (COVID-19) in patients with COVID-19 pneumonia. Methods We performed a comprehensive literature search from several databases. Definition of cardiac injury follows that of the included studies, which includes highly sensitive cardiac troponin I (hs-cTnl) >99th percentile.The primary outcome was mortality, and the secondary outcomes were ARDS, the need for ICU care, and severe COVID-19. ARDS and severe COVID-19 were defined per the World Health Organization (WHO) interim guidance of severe acute respiratory infection (SARI) of COVID-19. Results There were a total of 2389 patients from 13 studies. This meta-analysis showed that cardiac injury was associated with higher mortality (RR 7.95 [5.12, 12.34], p Conclusion Cardiac injury is associated with mortality, need for ICU care, and severity of disease in patients with COVID-19.

163 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used Random-effect models to analyze the appropriateness of the pooled results and found that fever and cough are the most common symptoms of COVID-19 infection in the literature published to date.

62 citations

Journal ArticleDOI
TL;DR: The results of this meta-analysis suggest that cardiac injury is associated with higher mortality, ICU admission, mechanical ventilation and coagulopathy in patients with COVID-19.
Abstract: Current evidence is limited to small studies describing the association between cardiac injury and outcomes in patients with coronavirus disease 2019 (COVID-19). To address this, we performed a comprehensive meta-analysis of studies in COVID-19 patients to evaluate the association between cardiac injury and all-cause mortality, intensive care unit (ICU) admission, mechanical ventilation, acute respiratory distress syndrome, acute kidney injury and coagulopathy. Further, studies comparing cardiac biomarker levels in survivors versus nonsurvivors were included. A total of 14 studies (3,175 patients) were utilized for the final analysis. Cardiac injury in patients with COVID-19 was associated with higher risk of mortality (risk ratio [RR]:7.79; 95% confidence interval [CI]: 4.69 to 13.01; I2=58%), ICU admission (RR: 4.06; 95% CI: 1.50 to 10.97; I2 = 61%), mechanical ventilation (RR: 5.53; 95% CI: 3.09 to 9.91; I2 = 0%), and developing coagulopathy (RR: 3.86; 95% CI:2.81 to 5.32; I2 = 0%). However, cardiac injury was not associated with increased risk of acute respiratory distress syndrome (RR:3.22; 95% CI:0.72 to 14.47; I2 = 73%) or acute kidney injury (RR: 11.52, 95% CI:0.03 to 4,159.80; I2 = 0%). The levels of hs-cTnI (MD:34.54 pg/ml;95% CI: 24.67 to 44.40 pg/ml; I2 = 88%), myoglobin (MD:186.81 ng/ml; 95% CI: 121.52 to 252.10 ng/ml; I2 = 88%), NT-pro BNP (MD:1183.55 pg/ml; 95% CI: 520.19 to 1846.91 pg/ml: I2 = 96%) and CK-MB (MD:2.49 ng/ml;95% CI: 1.86 to 3.12 ng/ml; I2 = 90%) were significantly elevated in nonsurvivors compared with survivors with COVID-19 infection. The results of this meta-analysis suggest that cardiac injury is associated with higher mortality, ICU admission, mechanical ventilation and coagulopathy in patients with COVID-19.

25 citations

Journal ArticleDOI
TL;DR: In this article, a meta-analysis of cardiac biomarkers was used to evaluate disease mortality and severity in COVID-19 patients, which revealed that patients with high levels of cardiac troponin I (SMD = 0.78 U/L, 95% CI = 007-1.49, P = 0.,032), high-sensitive cardiac Troponin T (MTLT =0.51-0.81, P Conclusion Cardiac biomarkers should be more frequently applied in identifying high-risk COVID19 patients so that timely treatment can be implemented to

10 citations