Hematological abnormalities and comorbidities are associated with COVID-19 severity among hospitalized patients: Experience from Bangladesh

Unveiling Immunological and Hematological Markers in COVID-19: Insights from a Clinical Study

The COVID-19 pandemic has affected the global health system and economies largely. Therefore, knowledge about the clinical and laboratory profiles of patients with COVID-19 would help in the management and prognosis of the disease. The immunological and hematological indices have emerged as critical determinants for the severity of the disease and the prognosis; however, association with COVID-19 is clouded. The present study is aimed to characterize the immunological and hematological profiles of patients with COVID-19 in correlation with the disease severity. The study included 1,019 polymerase chain reaction (PCR)-confirmed patients with COVID-19 who were classified into serious and nonserious groups, considering severity criteria. Clinical laboratory investigations included hematological, biochemical, and immunological parameters regarding leukocyte counts, hemoglobin levels, and inflammatory markers. Our analysis of immunological and hematological differences between serious and nonserious patients with COVID-19 indicates that serious cases reflected elevated levels of pro-inflammatory markers such as lactate dehydrogenase, C-reactive protein (CRP), D-dimer, and ferritin, representing immune system dysregulation and systemic inflammation. Furthermore, in serious cases, discrepancies had also been noticed for many hematological parameters than nonserious ones, which also contained leukocyte count and hemoglobin level. Additionally, the CRP, D-dimer, blood urea nitrogen, alanine transaminase, and albumin levels could be independent predictors of COVID-19 severity by multivariate logistic regression analysis. Cutoff values for these biomarkers were defined by receiver operating characteristic curve analysis defining optimal parameters for the risk stratification and prognostication. The current investigation provides a comprehensive understanding of immunological and hematological correlation with COVID-19 severity, refining clinical decision-making and therapeutic interventions to improve patient outcomes.

Predictive biomarkers of mortality in patients with severe COVID-19 hospitalized in intensive care unit

Objectives

This study was performed to identify predictive markers of worse outcomes in patients with severe COVID-19 in an intensive care unit.

Methods

Sixty patients with severe COVID-19, hospitalized in the Intensive Care Unit (ICU) between March and July 2021, were stratified into two groups according to the outcome survivors and non-survivors. After admission to the ICU, blood samples were collected directly for biomarker analysis. Routine hematological and biochemical biomarkers, as well as serum levels of cytokines, chemokines, and immunoglobulins, were investigated.

Results

Lymphopenia, neutrophilia, and thrombocytopenia were more pronounced in non-surviving patients, while the levels of CRP, AST, creatinine, ferritin, AST, troponin I, urea, magnesium, and potassium were higher in the non-surviving group than the survival group. In addition, serum levels of IL-10, CCL2, CXCL9, and CXCL10 were significantly increased in patients who did not survive. These changes in the biomarkers evaluated were associated with increased mortality in patients with severe COVID-19.

Conclusion

The present study confirmed and expanded the validity of laboratory biomarkers as indicators of mortality in severe COVID-19.

The study of single nucleotide polymorphism in a promoter region of ACE-2 receptor gene in the samples of Iraqi population with COVID-19

BACKGROUND

Angiotensin-converting enzyme 2 (ACE2) is an essential receptor on the host cell's cell membrane. It's interesting to note that the entry point receptor ACE2 protein and the severe acute respiratory syndrome (SARS) coronavirus are correlated. This study aimed to determine the influence of the ACE gene genotype and explore the effects of genetic variation in the promotor region of the ACE-2 gene receptor in SARS COV-2 patients.

METHODS AND RESULTS

The 225 participants were categorized into two groups (75 infected and 150 control) according to the results of Real Time -polymerase chain reaction (RT-PCR), IgM, and IgG, also included two types of samples were collected for diagnosis hematological and molecular study. The hematological and biochemical parameters showed significant differences between the two studied groups according to D. dimer, ferritin, lactate dehydrogenase (LDH), C-reactive protein (CRP), white blood cells (WBC), lymphocyte, packed cell volume (PCV) (P˂0.0001), also red blood cell (RBC) (P = 0.0034). While the results of hemoglobin (HB) and platelet displayed non-significant differences between the two groups (p value 0.6811 and 0.9201 respectively). In addition, the sequencing result in the promotor of the ACE-2 gene detected novel eight polymorphisms and recorded them in NCBI under no. (ON959139).

CONCLUSIONS

The ACE D/D polymorphism associated with increased levels of ACE could represent a genetic risk factor in addition the discovery stems from the prospect that genetic differences could lead to differing responses to COVID-19 therapies.

Blood Features Associated with Viral Infection Severity: An Experience from COVID-19-Pandemic Patients Hospitalized in the Center of Iran, Yazd

Pandemics such as coronavirus disease 2019 (COVID-19) can manifest as systemic infections that affect multiple organs and show laboratory manifestations. We aimed to analyze laboratory findings to understand possible mechanisms of organ dysfunction and risk stratification of hospitalized patients in these epidemics. Methods. This retrospective study was conducted among patients admitted to COVID-19 referral treatment center, Shahid Sadoughi Hospital, Yazd, Iran, from April 21 to November 21, 2021. It was the fifth peak of COVID-19 in Iran, and Delta (VOC-21APR-02; B.1-617.2) was the dominant and most concerning strain. All cases were positive for COVID-19 by RT-PCR test. Lab information of included patients and association of sex, age, and outcome were analyzed, on admission. Results. A total of 466 COVID-19 patients were included in the study, the majority of whom were women (68.9%). The average age of hospitalized patients in male and female patients was 57.68 and 41.32 years, respectively (p < 0.01). During hospitalization, abnormality in hematological and biochemical parameters was significant and was associated with the outcome of death in patients. There was incidence of lymphopenia, neutrophilia, anemia, and thrombocytopenia. The changes in neutrophil/lymphocyte (N/L) and hematocrit/albumin (Het/Alb) ratio and potassium and calcium levels were significant. Conclusion. Based on these results, new biochemical and hematological parameters can be used to predict the spread of infection and the underlying molecular mechanism. Viral infection may spread through blood cells and the immune system.

A Review of Hematological Complications and Treatment in COVID-19

COVID-19, caused by SARS-CoV-2, and its variants have spread rapidly across the globe in the past few years, resulting in millions of deaths worldwide. Hematological diseases and complications associated with COVID-19 severely impact the mortality and morbidity rates of patients; therefore, there is a need for oversight on what pharmaceutical therapies are prescribed to hematologically at-risk patients. Thrombocytopenia, hemoglobinemia, leukopenia, and leukocytosis are all seen at increased rates in patients infected with COVID-19 and become more prominent in patients with severe COVID-19. Further, COVID-19 therapeutics may be associated with hematological complications, and this became more important in immunocompromised patients with hematological conditions as they are at higher risk of hematological complications after treatment. Thus, it is important to understand and treat COVID-19 patients with underlying hematological conditions with caution. Hematological changes during COVID-19 infection and treatment are important because they may serve as biomarkers as well as to evaluate the treatment response, which will help in changing treatment strategies. In this literature review, we discuss the hematological complications associated with COVID-19, the mechanisms, treatment groups, and adverse effects of commonly used COVID-19 therapies, followed by the hematological adverse events that could arise due to therapeutic agents used in COVID-19.

Exploring Hematological Parameters and Their Prognostic Value in Adult COVID-19 Patients: Insights from Mogadishu, Somalia

There were no data on SARS-CoV-2 and hematology in Mogadishu, Somalia, despite the fact that many prior investigations of SARS-CoV-2 and hematology have already been conducted in many different parts of the world. As a result, this study aimed to assess hematological changes in COVID-19-infected patients at some selected hospitals in Mogadishu, Somalia. Methods. Outright, 433 COVID-19 patients were included in this study, which used a hospital-based cross-sectional design to investigate hematological alterations using the Mindray full automated hematological analyzer. Furthermore, ethical considerations were taken into account during the study. All individuals provided informed consent prior to participation in the study. Data were analyzed using SPSS. Results. The median age of the current study was 54.65 ± 20.486 years. People with diabetes, high blood pressure, asthma, or heart disease made up 21.2%, 21.2%, 20%, and 2.1% of the study population, respectively. According to the patients' hematological profiles, 89.5% of them had leukopenia, 86.8% had lymphopenia, and 89% had neutrophilia. Monocytes, eosinophils, basophils, and thrombocytes were typically normal although around 50.4% individuals exhibited anemia. Conclusion. Hematological indicators can predict how bad the illness is and how it will turn out, which helps guide clinical therapy. Leukopenia, neutrophilia, lymphopenia, and anemia were found in this study. At the time of admission, a thorough review of laboratory parameters can help clinicians make a treatment plan and quickly give intensive care to the patients who need it most.

Expression pattern of long non-coding RNAs MALAT1 and MEG3 in COVID-19 patients

BACKGROUND

COVID-19 is a novel infectious disease for which no specific treatment exists. It is likely that a combination of genetic and non-genetic factors predispose to it. Expression levels of genes that are involved in the interaction with SARS-CoV-2 or the host response are thought to play a role in disease susceptibility and severity. It is crucial to explore biomarkers for disease severity and outcome. Herein, we studied the expression levels and effects of long non-coding metastasis-associated lung adenocarcinoma transcript 1 (lnc-MALAT1) and long non-coding maternally expressed gene 3 (lnc-MEG3) in COVID-19 patients. The study enrolled 35 hospitalized and 35 non-hospitalized COVID-19 patients, and 35 healthy controls. A chest computed tomography (CT) scan, complete blood count (CBC), ferritin, C-reactive protein (CRP), D-dimer and analysis of lnc-MALAT1 and lnc-MEG3 expression were done.

RESULTS

There was a significant relation between ferritin, CRP, D-dimer levels, oxygen saturation, CT-CORADS score and disease severity. Lnc-MALAT1 was significantly higher but lnc-MEG3 was significantly lower in patients vs. controls, and in hospitalized vs. non-hospitalized patients. Elevated MALAT1 and reduced MEG3 levels were significantly associated with more elevated ferritin, CRP, D-dimer levels, lower oxygen saturation, higher CT-CORADS score and poor survival. Moreover, MALAT1 and MEG3 levels displayed higher sensitivity and specificity as predictors of COVID-19 severity compared with other prognostic biochemical markers such as ferritin, CRP, and D-dimer.

CONCLUSIONS

MALAT1 levels are higher, whereas MEG3 levels are lower in COVID-19 patients. Both are linked to disease severity and mortality and could emerge as predictive biomarkers for COVID-19 severity and therapeutic targets.

Confounding role of comorbidities and COVID-19 vaccination uptake in clinical utility of hematological biomarkers in Cameroonian patients infected with SARS-CoV-2

Objectives

To analyze variations in blood profile, the extent of hematological disorders, and the impact of comorbidities and COVID-19 vaccination on blood profile parameters and their clinical value for prognostic of SARS-CoV-2 infection.

Methods

This cross-sectional study took place in Douala, Cameroon. A complete blood count and molecular detection of SARS-CoV-2 were performed on patients. Clinical value was appraised using area under the curve (AUC) analysis.

Results

In total, 420 participants were included. A significant reduction of hematological parameters such as lymphocytes (p < 0.0001), red blood cells (P = 0.0025), mean corpuscular hemoglobin count (P < 0.0001), and platelets (P = 0.02) was seen in SARS-CoV-2 (+) patients. Anisocytosis was the main hematological disorder (95.5%). Normocytic normochromic anemia was predominant in SARS-CoV-2 (+) (35.3%) while microcytic normochromic anemia was more frequently seen in SARS-CoV-2 (-) (16.5%). Neutrophil-to-lymphocyte (NLR) consistently showed statistically significant AUC ∼0.75 upon stratification for age, gender, and comorbidities, with the exception of COVID-19 vaccination uptake.

Conclusion

In a context where molecular detection methods are difficultly affordable in health facilities in developing countries such as Cameroon, NLR could be clinically interesting for identifying SARS-CoV-2 infected individuals, especially those with comorbidities.

Phenotypical changes of hematopoietic stem and progenitor cells in COVID-19 patients: Correlation with disease status

Hematopoietic stem cells (HSCs) and hematopoietic progenitor cells (HPCs) play a crucial role in the context of viral infections and their associated diseases. The link between HSCs and HPCs and disease status in COVID-19 patients is largely unknown. This study aimed to monitor the kinetics and contributions of HSCs and HPCs in severe and non-severe COVID-19 patients and to evaluate their diagnostic performance in differentiating between healthy and COVID-19 patients as well as severe and non-severe cases. Peripheral blood (PB) samples were collected from 48 COVID-19 patients, 16 recovered, and 27 healthy controls and subjected to deep flow cytometric analysis to determine HSCs and progenitor cells. Their diagnostic value and correlation with C-reactive protein (CRP), D-dimer, and ferritin levels were determined. The percentages of HSCs and common myeloid progenitors (CMPs) declined significantly, while the percentage of multipotent progenitors (MPPs) increased significantly in COVID-19 patients. There were no significant differences in the percentages of megakaryocyte-erythroid progenitors (MEPs) and granulocyte-macrophage progenitors (GMPs) between all groups. Severe COVID-19 patients had a significantly low percentage of HSCs, CMPs, and GMPs compared to non-severe cases. Contrarily, the levels of CRP, D-dimer, and ferritin increased significantly in severe COVID-19 patients. MPPs and CMPs showed excellent diagnostic performance in distinguishing COVID-19 patients from healthy controls and severe from non-severe COVID-19 patients, respectively. Collectively, our study indicated that hematopoietic stem and progenitor cells are significantly altered by COVID-19 and could be used as therapeutic targets and diagnostic biomarkers for severe COVID-19.

Case Fatality Rate and Severity of COVID-19 among Patients with Sickle Cell Disease: A Systematic Review and Meta-Analysis

The sickle cell disease (SCD) population has been considered particularly vulnerable to viral pandemics since the emergence of H1N1 in 2009. In this sense, the advance of the COVID-19 pandemic from 2020 has brought this group of patients to the center of concern. However, scientific knowledge about the susceptibility of patients with SCD to a severe COVID-19 pandemic is still insufficient, and efforts to establish a general profile of the disease in these patients, remain inadequate. The present study, therefore, sought to characterize the case fatality rate and severity of COVID-19 in patients with SCD throughout the world. A systematic review of Pubmed/MEDLINE, Scopus, Cochrane Library, and Virtual Health Library databases through December 2021 was then performed. Subsequently, the primary and secondary outcomes were used in the meta-analysis in RStudio® software. Seventy-two studies were included with 6,011 SCD patients confirmed to have SARS-CoV-2 infection between mid-2020 and early 2022. The mean age of patients was 27 years. During this period, 218 deaths caused by COVID-19 were reported in the studied population, corresponding to an overall case fatality rate of 3%. In addition, 10% of patients with SCD were admitted to the ICU after complications caused by COVID-19, and 4% of them required invasive ventilatory support. In conclusion, the high fatality rate, intensive care unit admission and need for mechanical ventilation due to COVID-19 in young patients with SCD indicate that this population is at high risk for severe disease progression.

Hematological findings in COVID-19 and their correlation with severity of Disease

Objective

To evaluate the efficacy of hematological parameters to predict severity of COVID-19 patients.

Method

This was a cross-sectional comparative study conducted at Central Park Teaching Hospital, Lahore in COVID ward and COVID ICU between April 23, 2021 to June 23, 2021. Patients of all ages and both genders with positive PCR admitted in the COVID ward and ICU during this time span of two months were included in the study. Data was collected retrospectively.

Results

This study included 50 patients with male to female ratio of 1.38:1. Though males are more affected by COVID-19 but the difference is not statistically significant. The mean age of the study population was 56.21 and the patients in the severe disease group have higher age. It was observed that in severe/critical group the mean values of total leukocyte count 21.76×103 μI (p-value= 0.002), absolute neutrophil count 71.37% (p-value=0.045), neutrophil lymphocyte ratio (NLR) 12.80 (p-value=0.00) and PT 11.9 seconds (p-value=0.034) and the difference was statistically significant. While in severe/critical group, the mean values of hemoglobin 12.03g/dl (p-value=0.075), lymphocyte count 28.41% (p-value=0.8), platelet count 226×103 μI (p-value=0.67) and APTT 30.7 (p-value=0.081) and the difference was not significantly different between groups.

Conclusion

It can be concluded from the study that total leucocyte count, absolute neutrophil count and neutrophil lymphocyte ratio can predict in-hospital mortality and morbidity in COVID-19 patients.

Relation between Cytokine Levels and Pulmonary Dysfunction in COVID-19 Patients: A Case-Control Study

Aim: The study aimed to assess the relationships between serum cytokine levels and pulmonary dysfunctions in individuals with COVID-19. These correlations may help to suggest strategies for prevention and therapies of coronavirus disease. Patients and methods: Fifty healthy participants and one hundred COVID-19 patients participated in this study. COVID-19 participants were subdivided into moderate and severe groups based on the severity of their symptoms. In both patients and healthy controls, white blood cells (WBCs) and lymphocytes counts and serum C-reactive protein (CRP), interleukin (IL)-1, IL-4, IL-6, IL-18, and IL-35 levels were estimated. All the patients were examined by chest computed tomography (CT) and the COVID-19 Reporting and Data System (CO-RADS) score was assessed. Results: All COVID-19 patients had increased WBCs count and CRP, IL-1β, IL-4, IL-6, IL-18, and IL-35 serum levels than healthy controls. Whereas WBCs, CRP, and cytokines like IL-6 showed significantly higher levels in the severe group as compared to moderate patients, IL-4, IL-35, and IL-18 showed comparable levels in both disease groups. Lymphocytes count in all patient groups exhibited a significant decrease as compared to the heathy controls and it was significantly lower in severe COVID-19 than moderate. Furthermore, CO-RADS score was positively connected with WBCs count as well as CRP and cytokine (IL-35, IL-18, IL-6, IL-4 and IL-1β) levels in both groups. CO-RADS score, also demonstrated a positive correlation with lymphocytes count in the moderate COVID-19 patients, whereas it demonstrated a negative correlation in the severe patients. The receiver operator characteristic (ROC) curve analysis indicated that IL-1β, IL-4, IL-18, and IL-35 were fair (acceptable) predictors for COVID-19 in moderate cases. Whereas IL-6 was good predictor of COVID-19 in severe cases (AUC > 0.800), IL-18 and IL-35 were fair. Conclusion: Severe COVID-19 patients, compared to individuals with moderate illness and healthy controls, had lower lymphocyte counts and increased CRP with greater WBCs counts. In contrast to moderate COVID-19 patients, severe COVID-19 patients had higher levels of IL-6, but IL-4, IL-18, and IL-35 between both illness categories were at close levels. IL-6 level was the most potent predictor of COVID-19 progress and severity. CO-RADS 5 was the most frequent category in both moderate and severe cases. Patients with a typical CO-RADS involvement had a higher CRP and cytokine (IL-1β, IL-6, IL-4, IL-18, and IL-35) levels and WBCs count with a lower lymphocyte number than the others. Cytokine and CRP levels as well as WBCs and lymphocyte counts were considered surrogate markers of severe lung affection and pneumonia in COVID 19 patients.

Circulating tumor necrosis factor receptors are associated with mortality and disease severity in COVID-19 patients

BACKGROUND

Although hyperinflammatory response influences the severity of coronavirus disease 2019 (COVID-19), little has been reported about the utility of tumor necrosis factor (TNF)-related biomarkers in reflecting the prognosis. We examined whether TNF receptors (TNFRs: TNFR1, TNFR2) and progranulin (PGRN) levels, in addition to interleukin 6 (IL-6) and C-reactive protein (CRP), are associated with mortality or disease severity in COVID-19 patients.

METHODS

This retrospective study was conducted at Juntendo University Hospital. Eighty hospitalized patients with various severities of COVID-19 were enrolled. Furthermore, serum levels of TNF-related biomarkers were measured using enzyme-linked immunosorbent assay.

RESULTS

Twenty-five patients died during hospitalization, and 55 were discharged. The median (25th and 75th percentiles) age of the study patients was 70 (61-76) years, 44 (55.0%) patients were males, and 26 (32.5%) patients had chronic kidney disease (CKD). When comparing with patients who received and did not receive treatment at the intensive care unit (ICU), the former had a higher tendency of being male and have diabetes, hypertension, and CKD; had higher levels of white blood cells, D-dimer, and lactate dehydrogenase; and had lower body mass index, estimated glomerular filtration rate, and lymphocyte counts. Significant differences were observed in TNFR, PGRN, IL-6, and CRP levels between each severity (mild-severe) group. Furthermore, the serum levels of TNFR, IL-6, and CRP, but not PGRN, in ICU patients were significantly higher than in the patients who were not admitted to the ICU. Multivariate logistic regression analysis demonstrated that high levels of TNFR2 were only associated with mortality in patients with COVID-19 even after adjustment for relevant clinical parameters.

CONCLUSIONS

High TNFR2 level might be helpful for predicting mortality or disease severity in patients with COVID-19.

Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh

The COVID-19 pandemic has tremendously affected the physical and mental health of people at all levels worldwide. The present study aimed to evaluate the prevalence and contributing factors for mental health problems among female university students in the urban area of Bangladesh. We conducted this online cross-sectional study among 451 female university students. Here we assessed the symptomatic prevalence of common mental health problems among the participants. The prevalence rate of loneliness, anxiety, and depressive symptoms among female university students in Bangladesh was 55.88%, 69.18%, and 45.23%, respectively. Also, we noticed that mild, moderate, and severe symptoms of loneliness, generalized anxiety, and depression were 36.90%, 40.48%, and 22.62%; 48.08%, 22.44%, and 29.48%; and 37.31%, 26.87%, and 35.52%; respectively. According to the present study results, marital status, financial condition, education level, and family structure (nuclear/joint) are potential contributing factors to mental health problems among female university students living in Dhaka, Bangladesh. The COVID-19 pandemic has severely impacted the academic performance and emotional well-being of students in Bangladesh. Also, the closure of university classes for a long time in Bangladesh was responsible for the poor mental health of students. Promoting good mental health has become a vital public health concern during this ongoing COVID-19 pandemic. Female university students residing in urban areas in Bangladesh are more prone to developing mental health problems during any crisis. Therefore, the healthcare authorities of Bangladesh should promote the good mental health of students during and after the ongoing COVID-19 pandemic. Keeping in touch with students to support them psychologically and mentally during the pandemic is crucial for promoting their good mental health.

Leukocyte glucose index as a novel biomarker for COVID-19 severity

The severity of coronavirus disease 2019 (COVID-19) quickly progresses with unfavorable outcomes due to the host immune response and metabolism alteration. Hence, we hypothesized that leukocyte glucose index (LGI) is a biomarker for severe COVID-19. This study involved 109 patients and the usefulness of LGI was evaluated and compared with other risk factors to predict COVID 19 severity. LGI was identified as an independent risk factor (odds ratio [OR] = 1.727, 95% confidence interval [CI]: 1.026-3.048, P = 0.041), with an area under the curve (AUC) of 0.749 (95% CI: 0.642-0.857, P < 0.0001). Interestingly, LGI was a potential risk factor (OR = 2.694, 95% CI: 1.575-5.283, Pcorrected < 0.05) for severe COVID-19 in female but not in male patients. In addition, LGI proved to be a strong predictor of the severity in patients with diabetes (AUC = 0.915 (95% CI: 0.830-1), sensitivity = 0.833, and specificity = 0.931). The AUC of LGI, together with the respiratory rate (LGI + RR), showed a considerable improvement (AUC = 0.894, 95% CI: 0.835-0.954) compared to the other biochemical and respiratory parameters analyzed. Together, these findings indicate that LGI could potentially be used as a biomarker of severity in COVID-19 patients.

The Associations of Iron Related Biomarkers with Risk, Clinical Severity and Mortality in SARS-CoV-2 Patients: A Meta-Analysis

The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is spreading rapidly around the world and has led to millions of infections and deaths. Growing evidence indicates that iron metabolism is associated with COVID-19 progression, and iron-related biomarkers have great potential for detecting these diseases. However, the results of previous studies are conflicting, and there is not consistent numerical magnitude relationship between those biomarkers and COVID-19. Thereby, we aimed to integrate the results of current studies and to further explore their relationships through a meta-analysis. We searched peer-reviewed literature in PubMed, Scopus and Web of Science up to 31 May 2022. A random effects model was used for pooling standard mean difference (SMD) and the calculation of the corresponding 95% confidence interval (CI). I2 was used to evaluate heterogeneity among studies. A total of 72 eligible articles were included in the meta-analysis. It was found that the ferritin levels of patients increased with the severity of the disease, whereas their serum iron levels and hemoglobin levels showed opposite trends. In addition, non-survivors had higher ferritin levels (SMD (95%CI): 1.121 (0.854, 1.388); Z = 8.22 p for Z < 0.001; I2 = 95.7%, p for I2 < 0.001), lower serum iron levels (SMD (95%CI): −0.483 (−0.597, −0.368), Z = 8.27, p for Z < 0.001; I2 = 0.9%, p for I2 =0.423) and significantly lower TIBC levels (SMD (95%CI): −0.612 (−0.900, −0.324), Z = 4.16, p for Z < 0.001; I2 = 71%, p for I2 = 0.016) than survivors. This meta-analysis demonstrates that ferritin, serum iron, hemoglobin and total iron banding capacity (TIBC) levels are strongly associated with the risk, severity and mortality of COVID-19, providing strong evidence for their potential in predicting disease occurrence and progression.

Clinical characteristics of the severe acute respiratory syndrome coronavirus 2 omicron variant compared with the delta variant: a retrospective case-control study of 318 outpatients from a single sight institute in Japan

Background

Clinical characteristics, including laboratory parameters, of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant have been limited.

Methods

This retrospective case-control study was conducted in a single hospital. Patients with coronavirus disease 2019 (COVID-19) who visited the Asahikawa City Hospital outpatient department as new patients and underwent blood tests were included in this study. We analyzed the data from January 2022 to April 2022 during the Omicron phase and from April 2021 to October 2021 during the Delta phase. Patients who were treated at other hospitals after visiting our hospital were excluded. All blood tests were performed before treatment for COVID-19 was initiated. Demographic information, laboratory data, and clinical courses were extracted from electronic medical records. We matched the two groups by age and comorbidities and compared their characteristics. We also analyzed factors associated with pneumonia in the Omicron phase.

Results

A total of 151 Omicron patients and 167 delta patients were analyzed in this study. The mean age, rate of comorbidities, and vaccination were significantly higher in the Omicron group. The number of patients with pneumonia or those requiring oxygen, admissions, or both was significantly lower in the Omicron group. Lactate dehydrogenase (LDH), C-reactive protein (CRP), ferritin, aspartate aminotransferase (AST), and neutrophil-to-lymphocyte ratio (NLR) levels were significantly lower in the Omicron group. Compared with the mild symptom and pneumonia groups in the Omicron group, older age, higher body mass index (BMI), higher non-vaccination, higher LDH, and higher CRP levels were associated with the pneumonia group.

Conclusion

The Omicron variant is associated with a reduction in hospitalization and the risk of pneumonia compared to the delta variant in a real-life clinical setting. In the Omicron variant, the risk of pneumonia is related to high-risk factors, laboratory data such as LDH and CRP levels, and no vaccination.

Influence of Co-morbidities During SARS-CoV-2 Infection in an Indian Population

Background

Since the outbreak of COVID-19 pandemic the interindividual variability in the course of the disease has been reported, indicating a wide range of factors influencing it. Factors which were the most often associated with increased COVID-19 severity include higher age, obesity and diabetes. The influence of cytokine storm is complex, reflecting the complexity of the immunological processes triggered by SARS-CoV-2 infection. A modern challenge such as a worldwide pandemic requires modern solutions, which in this case is harnessing the machine learning for the purpose of analysing the differences in the clinical properties of the populations affected by the disease, followed by grading its significance, consequently leading to creation of tool applicable for assessing the individual risk of SARS-CoV-2 infection.

Methods

Biochemical and morphological parameters values of 5,000 patients (Curisin Healthcare (India) were gathered and used for calculation of eGFR, SII index and N/L ratio. Spearman's rank correlation coefficient formula was used for assessment of correlations between each of the features in the population and the presence of the SARS-CoV-2 infection. Feature importance was evaluated by fitting a Random Forest machine learning model to the data and examining their predictive value. Its accuracy was measured as the F1 Score.

Results

The parameters which showed the highest correlation coefficient were age, random serum glucose, serum urea, gender and serum cholesterol, whereas the highest inverse correlation coefficient was assessed for alanine transaminase, red blood cells count and serum creatinine. The accuracy of created model for differentiating positive from negative SARS-CoV-2 cases was 97%. Features of highest importance were age, alanine transaminase, random serum glucose and red blood cells count.

Conclusion

The current analysis indicates a number of parameters available for a routine screening in clinical setting. It also presents a tool created on the basis of these parameters, useful for assessing the individual risk of developing COVID-19 in patients. The limitation of the study is the demographic specificity of the studied population, which might restrict its general applicability.

Evaluation of Hematologic Parameters in Patients with COVID-19 Following Mesenchymal Stem Cell Therapy

At present, severe acute respiratory syndrome coronavirus 2 is spreading and has caused over 188 million confirmed patients and more than 4,059,101 deaths. Currently, several clinical trials are done using mesenchymal stem cell (MSC) therapy in patients with coronavirus disease 2019 (COVID-19). These cells have shown safety and effectiveness, implying a promising clinical application in patients with COVID-19. Studies have shown that abnormalities in hematological measures such as white blood cells count, neutrophilia, elevated neutrophil to lymphocyte ratio, inflammatory markers, and lactate dehydrogenase can be used to assess the severity of COVID-19 disease and the response to therapy following MSC treatment. Our study has aimed to review the role of hematological factors in determination of responsiveness to MSC therapy and disease severity in COVID-19 patients.

Potential role of biochemical markers in the prognosis of COVID-19 patients

The global pandemic due to coronavirus disease 2019 (COVID-19) has posed an overall threat to modern medicine. The course of the disease is uncertain with varying forms of presentation that cannot be managed solely with clinical skills and vigor. Since its inception, laboratory medicine forms a backbone for the proper diagnosis, treatment, monitoring, and prediction of the severity of the disease. Clinical biochemistry, an integral component of laboratory medicine, has been an unsung hero in the disease prognosis and severity assessment in COVID-19. This review attempts to highlight the biomarkers which have shown a significant role and can be used in the identification, stratification, and prediction of disease severity in COVID-19 patients. It also highlights the basis of the use of these biomarkers in the disease course and their implications.

A systematic review and meta-analysis of abnormalities in hematological and biochemical markers among Bangladeshi COVID-19 cases

Background and Aims

Abnormalities in hematological and biochemical markers are assumed to be associated with the progression of COVID-19 disease. This meta-analysis was performed to assess the consequences of abnormalities of biomarkers (D-dimers, C-reactive protein [CRP], serum ferritin, lactate dehydrogenase [LDH], random blood sugar [RBS], absolute neutrophil count [ANC], neutrophil to lymphocyte ratio (NLR), serum creatinine, and hemoglobin) in the Bangladeshi COVID-19 patients.

Methods

The data of biomarker levels in Bangladeshi COVID-19 patients were gathered from five databases: PubMed, ScienceDirect, Web of Science, Google Scholar and Bangladesh Journals Online between January 2020 to March 2022. Review Manager 5.4 was used for the meta-analysis, and Egger's test and Begg-Mazumdar's rank correlation were used to investigate publication bias.

Results

This study included 1542 patients with 567 severe and 975 nonsevere statuses. Based on the accumulated data synthesis, there is a strong correlation between disease severity and different biomarkers, including D-dimer, CRP, ferritin, LDH, RBS, NLR, and serum creatinine (MD = 1.16, p = 0.0004; MD = 22.97, p = 0.003; MD = 419.26, p < 0.00001; MD = 118.37, p = 0.004; MD = 1.96, p = 0.02; MD = 1.26, p = 0.02; and MD = 0.31, p = 0.008, respectively). A significantly decreased correlation was observed for hemoglobin levels in severe COVID-19 patients (MD = -0.73, p = 0.10).

Conclusion

The elevated biomarkers level was noticed in severe cases compared to nonsevere patients, revealing that D-dimer, CRP, ferritin, LDH, RBS, NLR, and serum creatinine are significantly correlated to COVID-19 severity. Only lower hemoglobin level was found to be associated with COVID-19 severity.

Comparative evaluation of authorized drugs for treating Covid-19 patients

Background and Aims

Vaccines are the first line of defense against coronavirus disease 2019 (Covid-19). However, the antiviral drugs provide a new tool to fight the Covid-19 pandemic. Here we aimed for a comparative evaluation of authorized drugs for treating Covid-19 patients.

Methods

We searched in PubMed and Google Scholar using keywords and terms such as Covid, SARS-CoV-2, Coronavirus disease 2019, therapeutic management, hospitalized Covid-19 patients, Covid-19 treatment. We also gathered information from reputed newspapers, web portals, and websites. We thoroughly observed, screened, and included the studies relevant to our inclusion criteria. We included only the United States Food and Drug Administration (FDA) authorized drugs for this review.

Results

We found that molnupiravir and paxlovid are available for oral use, and remdesivir is for only hospitalized patients. Paxlovid is a combination of nirmatrelvir and ritonavir, nirmatrelvir is a protease inhibitor (ritonavir increases the concentration of nirmatrelvir), and the other two (remdesivir and molnupiravir) are nucleoside analog prodrugs. Remdesivir and molnupiravir doses do not need to adjust in renal and hepatic impairment. However, the paxlovid dose adjustment is required for mild to moderate renal or hepatic impaired patients. Also, the drug is not allowed for Covid-19 patients with severe renal or hepatic impairment. Preliminary studies showed oral antiviral drugs significantly reduce hospitalization or death among mild to severe patients. Moreover, the US FDA has approved four monoclonal antibodies for Covid-19 treatment. Studies suggest that these drugs would reduce the risk of hospitalization or severity of symptoms. World Health Organization strongly recommended the use of corticosteroids along with other antiviral drugs for severe or critically hospitalized patients.

Conclusion

All authorized drugs are effective in inhibiting viral replication for most SARS-CoV-2 variants. Therefore, along with vaccines, these drugs might potentially aid in fighting the Covid-19 pandemic.

Hematological features and risk factors of hospitalized COVID-19 patients: A retrospective analysis

Background:

Coronavirus disease 2019 (COVID-19) became pandemic in 2020 and recently, mutated coronaviruses have emerged in many countries. The aim of this study was to identify the clinical characteristics and risk factors for critical illness in hospitalized COVID-19 patients in Zhengzhou for clinical prevention and management.

Materials and methods:

A total of 70 patients hospitalized with COVID-19 were enrolled between 21 January and 29 February 2020, in Zhengzhou, China. Clinical characteristics, hematological findings, neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and inflammatory index on admission were obtained from medical records, COVID-19 patients with different outcomes were compared.

Results:

The median age was 55 years. Forty-three (61.0%) patients were classified as having severe or critical cases. Eighteen (25.7%) patients died in hospital and the remaining 52 were discharged. Patients who died tend to be old with expectoration and chronic obstructive pulmonary disease. Compared to survivor, non-survivor had significantly higher numbers of leucocytes and neutrophils, NLR, aspartate aminotransferase (AST), γ-glutamyl transpeptidase, total bilirubin, direct bilirubin, lactate dehydrogenase (LDH), prothrombin time, D-dimer, C-reactive protein, and decreased platelets, lymphocytes, uric acid, and albumin (ALB). Logistic regression analysis identified leucocytes, platelets, PLR, NLR, AST, and ALB as independent predictive factors for poor outcomes. The area under curve of the combination of leucocytes, PLR, NLR, and AST was 0.87, with a sensitivity of 0.83 and specificity of 0.81.

Conclusion:

Our results identified risk factors among COVID-19 patients for in-hospital mortality. Leucocytes, PLR, NLR, and AST could have important reference value for predicting prognosis, especially in low-resource countries.

Extensive Study on Hematological, Immunological, Inflammatory Markers, and Biochemical Profile to Identify the Risk Factors in COVID-19 Patients

Background

Tissue damage caused by COVID-19 could be detected by several clinical indicators including hematological, immunological, biochemical, and inflammatory markers. This study was to detect these clinical parameters to reveal the correlation between the factors and their roles in the development of COVID-19, to explore the hazard factors in severe cases.

Materials and Methods

A total of 200 participants of both sexes were included in the study, with an age range of (25–72) years, categorized into three main groups: 50 healthy individuals, 62 mild infected patients, and 88 severe infected patients with pneumonia. Different hematological and clinical parameters were included in the analysis (Basrah city, Iraq). Serum levels of interleukin-6 (IL-6), ferritin, and high-sensitivity C-reactive protein (hs-CRP) were assessed for all participants using an enzyme-linked immunosorbent assay (ELISA). The liver, renal, and cardiac functions were assessed by clinical chemistry testing.

Results

COVID-19 patients had leukocytosis, with an increased number of neutrophils and a decreased lymphocyte count, according to our findings. In regard to inflammatory parameters, both ESR and hs-CRP showed significant differences between the two groups, whereas IL-6 was significantly higher in the total severe group compared to the other two groups. Biochemical results revealed that each lactate dehydrogenase (LDH), ferritin, alanine aminotransferase (ALT), and aspartate aminotransferase (AST) had significant changes in the total severe group. Among pneumonic with an O2 requirement and pneumonic without an O2 requirement, there were significant differences in immunological and inflammatory markers (p > 0.05). The neutrophils-lymphocytes ratio (NLR) was highly elevated in severe who required O2. Moreover, IL-6, lymphocytes, and neutrophils were possible risk factors for COVID-19 infection, with the strongest influence of IL-6 with a high odds ratio (OR: 24.138, 95% CI: 8.437–30.65, p < 0.01). Furthermore, there were significant correlations among the indicators.

Conclusion

Each of IL-6, lymphocytes, and neutrophils might represent major factors in the severity of COVID-19 and IL-6 plays the main role in inducing the inflammatory and pathophysiology process that is known as the cytokine storm.

The status and analysis of common mutations found in the SARS-CoV-2 whole genome sequences from Bangladesh

Rapid emergence of covid-19 variants by continuous mutation made the world experience continuous waves of infections and as a result, a huge number of death-toll recorded so far. It is, therefore, very important to investigate the diversity and nature of the mutations in the SARS-CoV-2 genomes. In this study, the common mutations occurred in the whole genome sequences of SARS-CoV-2 variants of Bangladesh in a certain timeline were analyzed to better understand its status. Hence, a total of 78 complete genome sequences available in the NCBI database were obtained, aligned and further analyzed. Scattered Single Nucleotide Polymorphisms (SNPs) were identified throughout the genome of variants and common SNPs such as: 241:C>T in the 5′UTR of Open Reading Frame 1A (ORF1A), 3037: C>T in Non-structural Protein 3 (NSP3), 14,408: C>T in ORF6 and 23,402: A>G, 23,403: A>G in Spike Protein (S) were observed, but all of them were synonymous mutations. About 97% of the studied genomes showed a block of tri-nucleotide alteration (GGG>AAC), the most common non-synonymous mutation in the 28,881–28,883 location of the genome. This block results in two amino acid changes (203–204: RG>KR) in the SR rich motif of the nucleocapsid (N) protein of SARS-CoV-2, introducing a lysine in between serine and arginine. The N protein structure of the mutant was predicted through protein modeling. However, no observable difference was found between the mutant and the reference (Wuhan) protein. Further, the protein stability changes upon mutations were analyzed using the I-Mutant2.0 tool. The alteration of the arginine to lysine at the amino acid position 203, showed reduction of entropy, suggesting a possible impact on the overall stability of the N protein. The estimation of the non-synonymous to synonymous substitution ratio (dN/dS) were analyzed for the common mutations and the results showed that the overall mean distance among the N-protein variants were statistically significant, supporting the non-synonymous nature of the mutations. The phylogenetic analysis of the selected 78 genomes, compared with the most common genomic variants of this virus across the globe showed a distinct cluster for the analyzed Bangladeshi sequences. Further studies are warranted for conferring any plausible association of these mutations with the clinical manifestation.

A cross-sectional study of COVID-19-related knowledge, risk perceptions, and preventive practices among pharmacy students in Bangladesh

OBJECTIVES

The coronavirus disease 2019 pandemic is a threat to public health that impacts the life of frontline pharmacists as they are more susceptible to getting infected by the coronavirus. This study aimed to assess the knowledge, risk perceptions, and preventive practices associated with coronavirus disease 2019 among pharmacy students of Bangladesh to evaluate their preparedness as future frontline workers against the ongoing pandemic.

METHODS

An online-based cross-sectional study was conducted among pharmacy undergraduate students of Bangladesh during the early months of the pandemic in April 2020. Respondents voluntarily submitted an online questionnaire regarding sociodemographics, knowledge, risk perceptions, and preventive practices related to coronavirus disease 2019.

RESULTS

A total of 418 participants submitted their responses, and we included 395 responses for final analysis. The mean age of the participants was 20.65 years. The study revealed that out of 395 pharmacy students, 68 (17.2%) had high levels of knowledge, 210 (53.2%) possessed high risk perceptions regarding coronavirus disease 2019, and 165 (41.7%) were adopting high levels of preventive practices. Average scores for knowledge, risk perceptions, and preventive practices were 5.7, 8.4, and 8.2 out of 10. Chi-square test and logistic regression analyses showed that having high knowledge levels was associated with high risk perceptions regarding coronavirus disease 2019. Similarly, higher risk perceptions were associated with having high knowledge and preventive measures, while higher preventive measures were associated with female gender, low monthly family income, and having high risk perceptions.

CONCLUSION

We found moderate knowledge, risk perceptions, and preventive practices related to coronavirus disease 2019 among the undergraduate pharmacy students. We recommend awareness-building discussions or seminars focusing on pharmacy students. In addition, the upgradation of the existing curriculum may help future pharmacists.

Predictors of Severity and Mortality in Chronic Liver Disease Patients With COVID-19 During the Second Wave of the Pandemic in India

Background

Coronavirus disease 2019 (COVID-19) infection in chronic liver disease patients is associated with poor outcomes. In this study, we aimed to evaluate the predictors of severity and mortality in this group of patients during the second wave of the COVID-19 pandemic in India. In addition, we compared cirrhotic patients with COVID-19 with cirrhotic patients from the pre-COVID-19 period.

Methodology

This was a single-center observational study. We included data from 50 patients with cirrhosis and COVID-19 retrospectively from the discharge/death files. A comparison group of 100 patients with cirrhosis from the pre-COVID period was also analyzed retrospectively.

Results

The majority of patients had predominantly respiratory symptoms, with fever being the most common symptom (85%). The most common presentation was acute on chronic liver failure (ACLF). The most common form of decompensation was jaundice followed by hepatic encephalopathy. The overall mortality in cirrhotic patients with COVID-19 was double than that in cirrhotic patients from the pre-COVID-19 period. All patients with ACLF succumbed to multiorgan failure. Diabetes was the only comorbidity that was associated with severe infection. Higher creatinine on admission and high D-dimer levels correlated with severity. D-dimer was the only parameter that correlated with severity and mortality on multivariate analysis. None of the comorbidities predicted mortality. Among various composite scores, the Child-Turcotte-Pugh (CTP) score and CURB-65 correlated with mortality. On the area under the receiver operating characteristic analysis, a D-dimer level of >1.1 mg/L was associated with mortality.

Conclusions

COVID-19 infection in patients with cirrhosis is associated with poor outcomes. D-dimer levels of >1.1 mg/L on admission are a simple parameter to predict mortality. CTP and CURB-65 are composite scores that correlate with mortality in this group of patients.

New Coronavirus Variants are Creating More Challenges to Global Healthcare System: A Brief Report on the Current Knowledge

The coronavirus is naturally mutating over time and producing new variants. Some of them are more contagious and destructive than previous strains. Also, some variants are capable of therapeutic escaping. Earlier SARS-CoV-2 variants proved that some are supercritical, and newly mutated strains are creating new challenges to the global healthcare systems. Here we aimed to evaluate different coronavirus variants and associated challenges for healthcare systems. We searched for information online and on the PubMed, Scopus, and Embase databases. We found the wild-type virus is more sensitive for neutralization and more controllable than newer variants. The Delta and Omicron variants are more highly transmissible than Alpha, Beta, and Gamma variants. Also, few strains are resistant to neutralization. Therefore, there is a chance of reinfection among the vaccinated population. The transmissibility and resistance of the recently identified Omicron variant is still unclear. The Delta variant is the most dangerous among all variants due to its high transmissibility, disease severity, and mortality rate. For poor and developing countries, oxygen supply, medication, vaccination, and device supply are challenging during epidemic waves. Slowing down the transmission, mass vaccination, vaccine redesign, re-compiling action plans, and following safety guidelines can be effective solutions to the new challenges.

New Coronavirus Variants are Creating More Challenges to Global Healthcare System: A Brief Report on the Current Knowledge

The coronavirus is naturally mutating over time and producing new variants. Some of them are more contagious and destructive than previous strains. Also, some variants are capable of therapeutic escaping. Earlier SARS-CoV-2 variants proved that some are supercritical, and newly mutated strains are creating new challenges to the global healthcare systems. Here we aimed to evaluate different coronavirus variants and associated challenges for healthcare systems. We searched for information online and on the PubMed, Scopus, and Embase databases. We found the wild-type virus is more sensitive for neutralization and more controllable than newer variants. The Delta and Omicron variants are more highly transmissible than Alpha, Beta, and Gamma variants. Also, few strains are resistant to neutralization. Therefore, there is a chance of reinfection among the vaccinated population. The transmissibility and resistance of the recently identified Omicron variant is still unclear. The Delta variant is the most dangerous among all variants due to its high transmissibility, disease severity, and mortality rate. For poor and developing countries, oxygen supply, medication, vaccination, and device supply are challenging during epidemic waves. Slowing down the transmission, mass vaccination, vaccine redesign, re-compiling action plans, and following safety guidelines can be effective solutions to the new challenges.

Identification of hematological and inflammatory parameters associated with disease severity in hospitalized patients of COVID-19

Background and Objectives

India has emerged as the second worst hit nation by the Coronavirus pandemic in terms of total number of cases. Our data on hematological and inflammatory markers associated with COVID-19 is very limited. This study was conducted to assess the utility of various biomarkers in identifying severe disease.

Materials and Methods

All confirmed cases of COVID-19 admitted in our tertiary care centre from 1st March 2021 to 31st March 2021 were enrolled in the study. They were categorized into severe and non-severe disease categories based on pre-decided criteria. Their complete blood count parameters, D-dimer levels, serum C-reactive protein (CRP), ferritin and Lactate dehydrogenase (LDH) values were retrieved.

Statistical Analysis

All parameters were expressed as Mean ± Standard deviation for the two groups of patients. Student's t-test was used to test significance of the above markers between severe and non- severe disease. (P value < 0.05 was taken as statistically significant).

Results

A total of 150 COVID RT-PCR positive patients were evaluated. The patients with higher Absolute Neutrophil Count (ANC), Neutrophil to lymphocyte Ratio (NLR), Platelet to lymphocyte ratio (PLR), D-dimer levels and raised serum CRP, LDH, ferritin along with lymphocytopenia were associated with severe disease (P < 0.05). Hemoglobin, total leucocyte count and platelet count showed no correlation with disease severity.

Conclusion

These biomarkers associated with disease severity especially NLR, PLR, D-dimer and serum CRP levels could be used to triage patients at the time of admission thereby identifying those requiring intensive care and enabling optimal resource utilization.

Practical Risk Scoring System for Predicting Severity of COVID-19 Disease

OBJECTIVES

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19 disease, has become an international pandemic with numerous casualties. It had been noted that the severity of the COVID-19 disease course depends on several clinical, laboratory, and radiological factors. This has led to risk scoring systems in various populations such as in China, but similar risk scoring systems based on the American veteran population are sparse, particularly with the vulnerable Veteran population. As a simple risk scoring system would be very useful, we propose a simple Jhala Risk Scoring System (JRSS) to assess the severity of disease risk.

METHODS

A retrospective review of all SARS-CoV-2 reverse transcriptase-polymerase chain reaction (RT-PCR) tests collected and performed at the regional Veterans Administration Medical Center (VAMC) serving the Philadelphia and surrounding areas from March 17th, 2020 to May 20th, 2020. Data was collected and analyzed in the same year. These tests were reviewed within the computerized medical record system for demographic, medical history, laboratory test history, and clinical course. Information from the medical records were then scored based on the criteria of the Jhala Risk Scoring System (JRSS).

RESULTS

The JRSS, based on age, ethnicity, presence of any lung disease, presence of cardiovascular disease, smoking history, and diabetes history with laboratory parameters correlated and predicted (with statistical significance) which patients would be hospitalized.

CONCLUSION

The JRSS may play a role in informing which COVID-19 positive patients in the emergency room/urgent care for risk stratification.

Upsurge of Dengue Prevalence During the Third Wave of COVID-19 Pandemic in Bangladesh: Pouring Gasoline to Fire

Recently, there has been an alarming increase in Coronavirus Disease-2019 (COVID-19) and dengue virus infection cases in Bangladesh. As the 2 viral diseases share many similar symptoms, healthcare practitioners are facing difficulty in correctly diagnosing them. Even with the help of confirmatory diagnostic tests, the misdiagnosis has been reported in several countries and cases of co-infections are also emerging. This study presents the clinical symptoms of dengue fever and COVID-19 and identifies the overlapping symptoms seen in these 2 diseases that might cause difficulty in diagnosis. We have also discussed cases of misdiagnosis and incidences of co-infection seen in other countries. Finally, we present our recommendations for preventing the surge of dengue and possible solutions for differentiating and managing these 2 diseases. Immediate measures are required from health practitioners and public health policymakers before these viral diseases spiral out of control.

Hematological Abnormalities and Comorbidities Are Associated With the Severity of Kidney Disease: A Hospital-Based Cross-Sectional Study in Bangladesh

Background

Abnormalities in hematology and comorbidities might have a role in chronic kidney disease (CKD) patients. However, the exact relationships between hematological parameters and the severity of CKD are not well understood. Also, the underlying mechanisms remain under investigation. The present study aimed to evaluate the association of different blood parameters and comorbidities among hospitalized CKD patients in Bangladesh.

Methods

The present study enrolled admitted CKD patients at Evercare Hospital Ltd, Dhaka, Bangladesh, from January 1, 2021, to August 1, 2021. For this study, the demographic and clinical information of the patients were collected. Then some routine blood tests for the hematological profile of CKD patients were performed. Finally, several statistical methods were performed and data interpretations were done to evaluate the role of hematological changes on CKD patients.

Results

Among 300 patients, early-stage CKD patients (ESCKDP) and advanced-stage CKD patients (ASCKDP) were 153 and 147, respectively. The decreased levels of hemoglobin (Hb) and red blood cell (RBC) in ASCKDP were observed. However, the present study found increased levels of corpuscular Hb in ASCKDP than ESCKDP. Also, the present study noticed correlations between these changes and the severity of CKD. Also, we observed a significant difference in age and body mass index between ESCKDP and ASCKDP.

Conclusions

Based on our results, lower Hb and RBC levels may use in assessing the severity and the treatment decisions of CKD patients in the hospital setting. Therefore, our findings may assist with developing a treatment protocol for hospitalized CKD patients.

The COVID-19 vaccination experience in Bangladesh: Findings from a cross-sectional study

OBJECTIVES

Vaccination rollout against COVID-19 has started in developed countries in early December 2020. Mass immunization for poor or low-income countries is quite challenging before 2023. Being a lower-middle-income country, Bangladesh has begun a nationwide COVID-19 vaccination drive in early February 2021. Here, we aimed to assess the opinions, experiences, and adverse events of the COVID-19 vaccination in Bangladesh.

METHODS

We conducted this online cross-sectional study from 10 February 2021, to 10 March 2021, in Bangladesh. A self-reported semi-structured survey questionnaire was used using Google forms. We recorded demographics, disease history, medication records, opinions and experiences of vaccination, and associated adverse events symptoms.

RESULTS

We observed leading comorbid diseases were hypertension (25.9%), diabetes (21.1%), heart diseases (9.3%), and asthma (8.7%). The most frequently reported adverse events were injection site pain (34.3%), fever (32.6%), headache (20.2%), fatigue (16.6%), and cold feeling (15.4%). The chances of having adverse events were significantly higher in males than females (p = 0.039). However, 36.4% of respondents reported no adverse events. Adverse events usually appeared after 12 h and went way within 48 h of vaccination. Besides, 85.5% were happy with the overall vaccination management, while 88.0% of the respondents recommended the COVID-19 vaccine for others for early immunization.

CONCLUSION

According to the present findings, reported adverse events after the doses of Covishield in Bangladesh were non-serious and temporary. In Bangladesh, the early vaccination against COVID-19 was possible due to its prudent vaccine deal, previous mass vaccination experience, and vaccine diplomacy.