An Online Survey of the Perceptions of Clinical and Non-Clinical Professionals on Healthcare for Non-Communicable Diseases and COVID-19 Measures During the Pandemic in Malaysia.

Objectives: This study assesses the opinions of health professionals in Malaysia on the disruption of non-communicable disease (NCD) services during the COVID-19 pandemic from March 2020 to January 2022. Methods: We conducted a cross-sectional online survey with 191 non-clinical public health workers and clinical health service workers in Malaysia from November 2021 to January 2022. Participants were recruited by the Malaysian Ministry of Health using major networks including key experts and practitioners. Secondary respondents were subsequently enrolled through snowballing. Results: The most notable issues raised by the survey participants relate to NCD service disruption, the redirection of NCD care resources, and NCD care being overburdened post-pandemic. Respondents also reported accounts of resilience and prompt reaction from the healthcare system, as well as calls for innovation. Conclusion: Most respondents perceived that the challenges arising from COVID-19 were mostly managed well by the healthcare system, which was able to provide the necessary services to NCD patients during this health emergency. However, the study identifies gaps in the health system response and preparedness capacity, and highlights solutions for strengthening NCD services.

Health care workers' mental health in the face of COVID-19: a systematic review and meta-analysis.

BACKGROUND: Healthcare workers are leading the way in treating patients with coronavirus disease 2019 (COVID-19). Due to the high levels of psychological stress, this group is more likely to experience psychological issues. These psychological problems in healthcare providers include depression, anxiety, insomnia, stress and post-traumatic stress disorder (PTSD). The goal of this systematic review and meta-analysis was to find out how common these problems were in the face of COVID-19. METHODS: On 20 February 2022, systematic searches were conducted in the PubMed, Cochrane Library, Scopus, EMBASE, Science Direct, Web of Science and ProQuest databases. Two authors selected articles based on search keywords. As a last step, articles about the prevalence of psychological problems among healthcare workers in the face of COVID-19 were looked at and analysed for five different outcomes. RESULTS: The initial search yielded 18,609 articles. After reviewing the titles, abstracts and full texts of the articles, 44 were chosen for the final analysis and 29 were subjected to a meta-analysis. Insomnia, anxiety, depression, PTSD and stress are among the psychological issues faced by healthcare workers. Furthermore, the highest pooled prevalence of depression, anxiety, insomnia, PTSD and stress was 36% (95% confidence interval (CI) 24-50%), 47% (95% CI 22-74%), 49% (95% CI 28-70%), 37% (95% CI 19-59%) and 27% (95% CI 6-69%). CONCLUSIONS: In this meta-analysis, insomnia was found to be the most common mental health problem, followed by anxiety, PTSD, depression and stress in healthcare workers in the face of the COVID-19 pandemic. Generally, the pooled prevalence of these mental health problems was higher among physicians, nurses and older staff in the subgroup analysis. As a result, health policymakers and managers of the health care system should think about effective interventions to promote mental health, paying particular attention to these two groups.Key pointsStudies conducted in China reported more mental problems than in other countries.Health policymakers and health system managers should hold training programs to promote healthcare workers' mental health with a particular focus on more vulnerable groups.The prevalence of PTSD, stress, anxiety, depression and insomnia were higher among physicians, nurses and older staff.Health systems at both national and local levels have to take older physicians, nurses and healthcare providers into consideration while designing interventions.

Exploring key-stakeholder perceptions on non-communicable disease care during the COVID-19 pandemic in Kenya.

Introduction: over one third of total Disability-Adjusted-Life-Years lost in Kenya are due to non-communicable diseases (NCD). In response, the Government declared significant commitment towards improving NCD care. The COVID-19 pandemic increased the burden on the already overstretched health systems in Kenya. The aims of this study are to assess whether health care providers perceived NCD care to be optimal during the pandemic and explore how to improve responses to future emergencies. Methods: this cross-sectional online survey included healthcare personnel with non-clinical roles (public health workers and policy-makers) and those delivering health care (doctors and nurses). Respondents were recruited between May and September 2021 by random sampling, completed by snowball sampling. Results: among 236 participants (42% in clinical, 58% in non-clinical roles) there was an overall consensus between respondents on NCD care being disrupted and compromised during the pandemic in Kenya. Detracted supplies, funding, and technical resources affected the continuity of NCDs' response, despite government efforts. Respondents agreed that the enhanced personnel capacity and competencies to manage COVID-19 patients were positive, but noted a lack of guidance for redirecting care for chronic diseases, and advocated for digital innovation as a solution. Conclusion: this paper explores the perceptions of key stakeholders involved in the management of NCDs in Kenya to improve planning for future emergency responses. Gaps were identified in health system response and preparedness capacity during the pandemic including the perceived need to strengthen NCD services, with solutions offered to guide resilience efforts to protect the health system from disruption.

Are olfactory and gustatory symptoms useful at predicting disease severity markers in COVID-19 infection?

Context: The relationship between olfactory and gustatory dysfunction (OGD) and COVID-19 infection severity is still unclear. Aim: To investigate the correlation between OGD in COVID-19-infected individuals and RT-PCR results, chest CT scan abnormality, lymphocyte counts, hospital admission units, age, body temperature, and blood oxygen saturation. Setting and Design: Case-control study. Materials and Methods: The sample was composed of laboratory and chest X-ray confirmed COVID-19-infected patients from four hospitals. The patients were divided into case and control groups based on the presence of OGD symptoms. The predictor variable was OGD. The outcome variable was gender, hospital admission unit, chest CT scan abnormality, PCR, lymphocyte counts, age, body temperature, and blood oxygen saturation. Statistical Analysis Used: Bivariate statistics were computed and the P value was set at 0.05. Results: The sample consisted of 189 patients. Smell and taste disorders were found in 31.7% and 24.3% of patients, respectively. OGD was significantly correlated with positive PCR results (P < 0.001) and general unit admission (P < 0.05) during hospitalization. Additionally, patients with OGD had significantly lower mean age (P < 0.001), higher body temperature (P < 0.01), and blood oxygen saturation (P < 0.01). However, OGD was not correlated with gender, chest CT scan abnormality, or lymphocyte counts (P > 0.05). Conclusions: OGD symptoms can be used to detect COVID-19-infected patients. OGD can be used to predict less severe disease mainly by its correlation with the less amount of hospital care, more negative PCR results, higher body temperature, and higher blood oxygen saturation.

Mortality-Related Risk Factors for Coronavirus Disease (COVID-19)-Associated Mucormycosis: a systematic review and meta-analysis.

Purpose of Review: Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) can increase the susceptibility of individuals to contracting mucormycosis through several mechanisms. Nowadays, coronavirus disease (COVID-19)-associated mucormycosis (CAM) is a serious public health concern, particularly in developing countries. This meta-analysis aims to identify the risk factors that affect the mortality rate of patients with CAM. Recent Findings: We systematically searched PubMed, Google Scholar, Scopus, Cochrane library, and preprint databases using pertinent keywords and the reference lists of the included relevant articles from inception till October 27, 2021. In order to reduce the effects of small-scale studies, we only selected cross-sectional, case-control, and cohort studies and case series with at least four patients. We identified 26 articles that included 821 patients with CAM. The effect size (ES) of mortality rate was 28% (95% confidence interval (CI) 20%-38%; I2 =82.28%; p for Cochran Q<0.001). The CAM patients with a history of comorbidities other than diabetes (malignancies, transplant, or renal failure), mechanical ventilation due to COVID-19, pulmonary and cerebral mucormycosis, and those who only received medical treatment for mucormycosis had the highest mortality rate. Summary: Coronavirus disease (COVID-19)-associated mucormycosis (CAM) is a major public health problem, particularly in developing countries. Severe COVID-19 infection, history of mechanical ventilation, early CAM, comorbidities other than diabetes (malignancies, transplant, or renal failure), pulmonary and rhino-orbito-cerebral mucormycosis, and delivering only medical treatment for mucormycosis were the worst prognostic factors in CAM patients. Identifying the mortality-related risk factors in CAM patients may help reduce the mortality rate by implementing optimized treatment approaches. Supplementary Information: The online version contains supplementary material available at 10.1007/s12281-022-00440-2.

Prevalence of Fungal Drug Resistance in COVID-19 Infection: a Global Meta-analysis.

Purpose: Secondary bacterial or fungal infections are one of the most important medical complications among patients with Coronavirus Disease 2019 (COVID-19). The emergence of multidrug-resistant (MDR) candida can cause many problems such as treatment failure, adverse clinical outcomes, and even disease outbreaks. This systematic review and meta-analysis aims to investigate the prevalence and outcomes of fungal drug-resistant in COVID-19 patients. Methods: PubMed, Embase, Scopus, Cochrane Library, and Web of Science databases were searched for peer reviewed-articles published in English up to May 20, 2021. Heterogeneity across studies was evaluated using Cochrane's Q test and the I2 index. The pooled point prevalence and their corresponding 95% confidence intervals (CIs) were considered to estimate the prevalence of fungal drug resistance infection in COVID-19 patients. Results: Eight eligible articles were included in our meta-analysis. The number of COVID-19 patients with fungal co-infection varied from 5 to 35 among selected studies. The overall pooled prevalence of fungal drug resistance among patients with co-infections of fungal and COVID-19 was 69% (95% CI: 37%, 94%) by using a random-effects model. In terms of specific species, the pooled meta-analysis for Candida Auris was estimated to be 100% (95%CI: 98%, 100%; I2 = 0%), for Multi-Candida 59% (95%CI: 38%, 79%; I2 = 12.5%), and for Aspergillus 15% (95%CI: 0%, 42%; I2 = 0%). Conclusion: Our study shows the high prevalence of fungal drug resistance in COVID-19 patients and emphasizes the need to strengthen antimicrobial stewardship programs, close monitoring for treatment failure, and the emergence of resistance upon treatment. Supplementary Information: The online version contains supplementary material available at 10.1007/s12281-022-00439-9.

Mortality-Related Risk Factors for Coronavirus Disease (COVID-19)-Associated Mucormycosis: a systematic review and meta-analysis

Purpose of Review Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) can increase the susceptibility of individuals to contracting mucormycosis through several mechanisms. Nowadays, coronavirus disease (COVID-19)-associated mucormycosis (CAM) is a serious public health concern, particularly in developing countries. This meta-analysis aims to identify the risk factors that affect the mortality rate of patients with CAM. Recent Findings We systematically searched PubMed, Google Scholar, Scopus, Cochrane library, and preprint databases using pertinent keywords and the reference lists of the included relevant articles from inception till October 27, 2021. In order to reduce the effects of small-scale studies, we only selected cross-sectional, case–control, and cohort studies and case series with at least four patients. We identified 26 articles that included 821 patients with CAM. The effect size (ES) of mortality rate was 28% (95% confidence interval (CI) 20%–38%;I2 =82.28%;p for Cochran Q<0.001). The CAM patients with a history of comorbidities other than diabetes (malignancies, transplant, or renal failure), mechanical ventilation due to COVID-19, pulmonary and cerebral mucormycosis, and those who only received medical treatment for mucormycosis had the highest mortality rate. Summary Coronavirus disease (COVID-19)-associated mucormycosis (CAM) is a major public health problem, particularly in developing countries. Severe COVID-19 infection, history of mechanical ventilation, early CAM, comorbidities other than diabetes (malignancies, transplant, or renal failure), pulmonary and rhino-orbito-cerebral mucormycosis, and delivering only medical treatment for mucormycosis were the worst prognostic factors in CAM patients. Identifying the mortality-related risk factors in CAM patients may help reduce the mortality rate by implementing optimized treatment approaches. Supplementary Information The online version contains supplementary material available at 10.1007/s12281-022-00440-2.

Prevalence of Fungal Drug Resistance in COVID-19 Infection: a Global Meta-analysis

Purpose Secondary bacterial or fungal infections are one of the most important medical complications among patients with Coronavirus Disease 2019 (COVID-19). The emergence of multidrug-resistant (MDR) candida can cause many problems such as treatment failure, adverse clinical outcomes, and even disease outbreaks. This systematic review and meta-analysis aims to investigate the prevalence and outcomes of fungal drug-resistant in COVID-19 patients. Methods PubMed, Embase, Scopus, Cochrane Library, and Web of Science databases were searched for peer reviewed-articles published in English up to May 20, 2021. Heterogeneity across studies was evaluated using Cochrane’s Q test and the I2 index. The pooled point prevalence and their corresponding 95% confidence intervals (CIs) were considered to estimate the prevalence of fungal drug resistance infection in COVID-19 patients. Results Eight eligible articles were included in our meta-analysis. The number of COVID-19 patients with fungal co-infection varied from 5 to 35 among selected studies. The overall pooled prevalence of fungal drug resistance among patients with co-infections of fungal and COVID-19 was 69% (95% CI: 37%, 94%) by using a random-effects model. In terms of specific species, the pooled meta-analysis for Candida Auris was estimated to be 100% (95%CI: 98%, 100%;I2 = 0%), for Multi-Candida 59% (95%CI: 38%, 79%;I2 = 12.5%), and for Aspergillus 15% (95%CI: 0%, 42%;I2 = 0%). Conclusion Our study shows the high prevalence of fungal drug resistance in COVID-19 patients and emphasizes the need to strengthen antimicrobial stewardship programs, close monitoring for treatment failure, and the emergence of resistance upon treatment. Supplementary Information The online version contains supplementary material available at 10.1007/s12281-022-00439-9.

Candida auris: outbreak fungal pathogen in COVID-19 pandemic: a systematic review and meta-analysis.

Background and Objectives: Candida auris (C. auris) is the first fungal pathogen considered a global health threat. Because, C. auris is associated with multidrug resistance and associated diseases such as diabetes, sepsis, lung and kidney disease. This study investigated the prevalence and mortality of C. auris infection during Covid-19 pandemic. Materials and Methods: Databases were searched for peer-reviewed articles published in the English language up to Jan 18, 2022. Heterogeneity across studies was evaluated using Cochrane's Q test and the I2 index. The pooled point prevalences and their corresponding 95% confidence intervals (CIs) were estimated usingthe random-effects model. Results: In our meta-analysis, 11 eligible articles were included. The total pooled prevalence estimation of C. auris infection among COVID-19 patients was 13% (95% CI: 8%, 19%). The estimated pooled mortality rate of C. auris infection was 37% (95% CI: 15%, 61%). In terms of specific conditions, the pooled risk of mortality was higher in people with diabetes 65% (95% CI: 0.45%, 83%), in cases with >21 days admission inintensive care unit (ICU) 44% (95% CI: 21%, 0.68%), and after receiving steroids 43% (95% CI: 18%, 69%). Conclusion: Our study highlights the high prevalence rate of C. auris infection, particularly among people with a history of metabolic disorders.

The Hospitalization Rate of Cerebral Venous Sinus Thrombosis before and during COVID-19 Pandemic Era: A Single-Center Retrospective Cohort Study.

OBJECTIVES: There are several reports of the association between SARS-CoV-2 infection (COVID-19) and cerebral venous sinus thrombosis (CVST). In this study, we aimed to compare the hospitalization rate of CVST before and during the COVID-19 pandemic (before vaccination program). MATERIALS AND METHODS: In this retrospective cohort study, the hospitalization rate of adult CVST patients in Namazi hospital, a tertiary referral center in the south of Iran, was compared in two periods of time. We defined March 2018 to March 2019 as the pre-COVID-19 period and March 2020 to March 2021 as the COVID-19 period. RESULTS: 50 and 77 adult CVST patients were hospitalized in the pre-COVID-19 and COVID-19 periods, respectively. The crude CVST hospitalization rate increased from 14.33 in the pre-COVID-19 period to 21.7 per million in the COVID-19 era (P = 0.021). However, after age and sex adjustment, the incremental trend in hospitalization rate was not significant (95% CrI: -2.2, 5.14). Patients > 50-year-old were more often hospitalized in the COVID-19 period (P = 0.042). SARS-CoV-2 PCR test was done in 49.3% out of all COVID-19 period patients, which were positive in 6.5%. Modified Rankin Scale (mRS) score ≥3 at three-month follow-up was associated with age (P = 0.015) and malignancy (P = 0.014) in pre-COVID period; and was associated with age (P = 0.025), altered mental status on admission time (P<0.001), malignancy (P = 0.041) and COVID-19 infection (P = 0.008) in COVID-19 period. CONCLUSION: Since there was a more dismal outcome in COVID-19 associated CVST, a high index of suspicion for CVST among COVID-19 positive is recommended.

Is facial nerve palsy an early manifestation of COVID-19? A literature review.

The primary target of SARS-CoV-2 is the respiratory tract; nevertheless, the virus can invade extrapulmonary organs, such as the nervous system. Peripheral facial nerve palsy has been reported in COVID-19 cases as isolated, unilateral, or bilateral in the context of Guillain-Barré syndrome (GBS). In the present study, online databases, including PubMed and Google Scholar, were searched. Studies without focusing on isolated peripheral facial nerve palsy and SARS-CoV-2 were excluded. Finally, 36 patients with facial nerve palsy were included in our study using reverse transcriptase-polymerase chain reaction (RT-PCR) or antibody SARS-CoV-2 positive test. Interestingly, 23 (63.8%) of these patients had no typical history of COVID-19, and facial nerve palsy was their first clinical manifestation. The present study concludes that there is enough evidence to suggest that SARS-CoV-2 infection may present with facial nerve palsy as the initial clinical manifestation.

Herpes-like skin lesion after AstraZeneca vaccination for COVID-19: A case report.

Recurrent herpes simplex virus or varicella zoster virus infection should be considered as one of the rare complications after AstraZeneca vaccination for COVID-19.

Expectations of citizens from the government in response to COVID-19 pandemic: a cross-sectional study in Iran.

BACKGROUND: The government is the main body in charge of controlling epidemics; hence, expectations from the intention and capacities of the government would affect the flexibility and behaviors of citizens. Given the severity of COVID-19 pandemic and the urgent need for cooperation of people in the prevention and combat processes, understanding the public perspectives would be crucial and instructive. This study aimed to explore such perspectives towards the current pandemic among the Iranian. Indeed, we sought to provide a favorable platform for effective policies in the face of the COVID-19 pandemic through recognizing public expectations. METHODS: This cross-sectional survey used an open-ended online questionnaire to investigate the common perspectives of the Iranian towards the response of government to COVID-19 pandemic. The participants were selected using snowball and convenient sampling techniques across the country. The collected data were analyzed and described using a thematic analysis. RESULTS: In general, 2547 participants agreed to participate in this study and completed the online questionnaire. According to the findings, the Iranian exhibited several expectations regarding the response of the government to COVID-19 pandemic. Three main themes were extracted based on these expectations: (1) health-related expectations, (2) policy-related expectations, and (3) Information-related expectations. In this study, a majority of participants highlighted the need to consider and follow-up the patients and their families, providing the financial and hygiene support during the pandemic, applying strict restrictions, and using close monitoring and controlling procedures. Furthermore, they mentioned that authorities and news agencies should observe the principals honesty and transparency. CONCLUSIONS: Our findings revealed that people expect the government and other responsible institutions to minimize the burden of this pandemic through adopting effective policies. Also, they could help policy-makers become aware of the expectations of people and develop better strategies.

Burnout among Nurses during Coronavirus Disease 2019 Outbreak in Shiraz.

BACKGROUND: The function of healthcare workers, particularly nursing staff, in taking care of coronavirus disease 2019 (COVID-19) patients, cannot be overemphasized. As the pandemic lasts, burnout among the nursing staff needs to be considered as an important challenge. This was aimed to assess the nurses' burnout and factors affecting this variable. MATERIALS AND METHODS: In this cross-sectional study, Maslach Burnout Inventory was completed by 261 nurses in Shiraz hospitals (Iran) in April 2020. This questionnaire addresses different aspects, including emotional exhaustion, personal achievement, and depersonalization, to determine the intensity of perceived burnout among nurses during the outbreak. RESULTS: Our data demonstrated that the nurses' burnout in Shiraz hospitals during the COVID-19 pandemic was high (64.6%). Emotional exhaustion and depersonalization were observed in 63.6 and 53.3 percent of the participants, respectively. Moreover, the rate of successful personal achievement among these nurses was >97%. Work experience <10 years (P=0.016), hospital ward (P=0.044), the number of deaths observed by nurses during the COVID-19 pandemic (P<0.001), and the total number of shifts during the COVID-19 pandemic (P=0.006) had a positive correlation with emotional exhaustion. CONCLUSION: Workload and stress resulting from the COVID-19 outbreak seem to be one of the major causes of emotional exhaustion in nurses. The emotional exhaustion among nurses must be considered in epidemics, such as COVID-19.

Laboratory Findings of COVID-19 Infection are Conflicting in Different Age Groups and Pregnant Women: A Literature Review.

Coronavirus disease 2019 (COVID-19), a new type and rapidly spread viral pneumonia, is now producing an outbreak of pandemic proportions. The clinical features and laboratory results of different age groups are different due to the general susceptibility of the disease. The laboratory findings of COVID-19 in pregnant women are also conflicting. Para-clinical investigations including laboratory tests and radiologic findings play an important role in early diagnosis and treatment monitoring of COVID-19. The majority of previous reports on the COVID-19 laboratory results were based on data from the general population and limited information is available based on age difference and pregnancy status. This review aimed to describe the COVID-19 laboratory findings in neonates, children, adults, elderly and pregnant women altogether for the first time. The most attracting and reliable markers of COVID-19 in patients were: normal C-reactive protein (CRP) and very different and conflicting laboratory results regardless of clinical symptoms in neonates, normal or temporary elevated CRP, conflicting WBC count results and procalcitonin elevation in children, lymphopenia and elevated lactate dehydrogenase (LDH) in adult patients, lymphopenia and elevated CRP and LDH in the elderly people, leukocytosis and elevated neutrophil ratio in pregnant women.

Obstetrics Healthcare Providers' Mental Health and Quality of Life During COVID-19 Pandemic: Multicenter Study from Eight Cities in Iran.

BACKGROUND: The coronavirus disease of 2019 (COVID-19) pandemic has become the most challenging issue for healthcare organizations and governments all over the world. The lack of evidence-based data on the management of COVID-19 infection during pregnancy causes an additional stress for obstetrics healthcare providers (HCPs). Therefore, this study was undertaken to evaluate depression, perceived social support, and quality of life among obstetrics HCPs. MATERIALS AND METHODS: This cross-sectional multicenter study was conducted in eight cities in Iran. During the study period, 599 HCPs were separated into direct, no direct, and unknown contact groups according to their exposure to COVID-19-infected pregnant patients. The Patient Health Questionaire-9 (PHQ-9), Multidimensional Scale of Perceived Social Support (MSPSS), and Short Form-36 (SF-36) were used to assess depression, perceived social support, and quality of life. RESULTS: Obstetrics and gynecology specialists had significantly higher social functioning and general health scores compared to other HCPs (residents/students or nurses/midwives). Depression was negatively correlated with most of the domains of quality of life, regardless of the COVID-19 contact status of the study participants. Social support, however, was positively correlated with some domains of quality of life, such as physical functioning, energy/fatigue, and emotional well-being, among staff members who had either direct contact or no contact with COVID-19 patients. CONCLUSION: During the COVID-19 outbreak, the depression score among obstetrics HCPs was negatively associated with quality of life. Social support, however, had a reinforcing effect on quality of life.

Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis.

BACKGROUND: More severe cases of COVID- 19 are more likely to be hospitalized and around one-fifth, needing ICU admission. Understanding the common laboratory features of COVID-19 in more severe cases versus non-severe patients could be quite useful for clinicians and might help to predict the model of disease progression. This systematic review and meta-analysis aimed to compare the laboratory test findings in severe vs. non-severe confirmed infected cases of COVID-19. METHODS: Electronic databases were systematically searched in PubMed, EMBASE, Scopus, Web of Science, and Google Scholar from the beginning of 2019 to 3rd of March 2020. Heterogeneity across included studies was determined using Cochrane's Q test and the I2 statistic. We used the fixed or random-effect models to pool the weighted mean differences (WMDs) or standardized mean differences and 95% confidence intervals (CIs). FINDINGS: Out of a total of 3009 citations, 17 articles (22 studies, 21 from China and one study from Singapore) with 3396 ranging from 12 to1099 patients were included. Our meta-analyses showed a significant decrease in lymphocyte, monocyte, and eosinophil, hemoglobin, platelet, albumin, serum sodium, lymphocyte to C-reactive protein ratio (LCR), leukocyte to C-reactive protein ratio (LeCR), leukocyte to IL-6 ratio (LeIR), and an increase in the neutrophil, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, blood urea nitrogen (BUN), creatinine (Cr), erythrocyte Sedimentation Rate (ESR), C-reactive protein (CRP), Procalcitonin (PCT), lactate dehydrogenase (LDH), fibrinogen, prothrombin time (PT), D-dimer, glucose level, and neutrophil to lymphocyte ratio (NLR) in the severe group compared with the non-severe group. No significant changes in white blood cells (WBC), Creatine Kinase (CK), troponin I, myoglobin, IL-6 and K between the two groups were observed. INTERPRETATION: This meta-analysis provides evidence for the differentiation of severe cases of COVID-19 based on laboratory test results at the time of ICU admission. Future well-methodologically designed studies from other populations are strongly recommended.

The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

AIMS: This study aimed to make a comparison between the clinical laboratory-related factors, complete blood count (CBC) indices, cytokines, and lymphocyte subsets in order to distinguish severe coronavirus disease 2019 (COVID-19) cases from the non-severe ones. MATERIALS AND METHODS: Relevant studies were searched in PubMed, Embase, Scopus, and Web of Science databases until March 31, 2020. Cochrane's Q test and the I2 statistic were used to determine heterogeneity. We used the random-effect models to pool the weighted mean differences (WMDs) and 95% confidence intervals (CIs). KEY FINDINGS: Out of a total of 8557 initial records, 44 articles (50 studies) with 7865 patients (ranging from 13 to 1582), were included. Our meta-analyses with random-effect models showed a significant decrease in lymphocytes, monocyte, CD4+ T cells, CD8+ T cells, CD3 cells, CD19 cells, and natural killer (NK) cells and an increase in the white blood cell (WBC), neutrophils, neutrophil to lymphocyte ratio (NLR), C-reactive protein (CRP)/hs-CRP, erythrocyte sedimentation rate (ESR), ferritin, procalcitonin (PCT), and serum amyloid A (SAA), interleukin-2 (IL-2), IL-2R, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor-alpha (TNF-α), and interferon-gamma (INF-γ) in the severe group compared to the non-severe group. However, no significant differences were found in IL-1ß, IL-17, and CD4/CD8 T cell ratio between the two groups. SIGNIFICANCE: Decrease in total lymphocytes and lymphocyte subsets as well as the elevation of CRP, ESR, SAA, PCT, ferritin, and cytokines, but not IL-1ß and IL-17, were closely associated with COVID-19 severity, implying reliable indicators of severe COVID-19.