Anemia is associated with severe coronavirus disease 2019 (COVID-19) infection

Association of iron deficiency anaemia with the hospitalization and mortality rate of patients with COVID‑19

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) illness led to the coronavirus disease 2019 (COVID-19) pandemic, which has caused enormous health and financial losses, as well as challenges to global health. Iron deficiency anaemia (IDA) has been linked to adverse outcomes in patients infected with SARS-COV-2. The present study aimed to assess the association between IDA and the severity of COVID-19 in hospitalized patients. For this purpose, a retrospective data analysis of 100 patients with COVID-19 was conducted. Data of patients hospitalized with SARS-COV-2 infection confirmed by RT-PCR were collected between June, 2021 and March, 2022. The collected data included patient demographics, comorbidities, clinical signs, symptoms and IDA medical laboratory findings, including complete blood count and iron profiles. The results revealed that patients with COVID-19 admitted to the isolation unit represented 61.0% of the study sample, whereas 39.0% were admitted to the intensive care unit (ICU). No patients had stage I IDA, whereas 4 patients (4%) had stage II IDA. Furthermore, 19 patients (19.0%) had stage III IDA. A significantly higher proportion of patients with IDA (69.6%) were admitted to the ICU compared with those without IDA (29.9%, P<0.001). Additionally, patients with IDA had a higher proportion of a history of stroke compared with those without IDA (17.4 vs. 2.6%, respectively, P=0.024). The most common comorbidities identified were hypertension (29%), diabetes (23%) and heart problems (17%). On the whole, the present study demonstrates significant associations between IDA and a longer hospitalization period. A greater incidence of complications was observed in the hospitalized patients who were SARS-COV-2-positive. Although further studies with larger sample sizes are required to confirm these findings, the results presented herein may provide insight for physicians as regards the prevention and treatment of patients with IDA who are infected with coronavirus.

Cytokine expression and mortality risk among COVID-19 hospitalized patients over 60 years of age in a referral hospital in Cartagena, Colombia

Background

Cytokine dysregulation in COVID-19 patients aged over 60 has been associated to adverse outcomes. While serum levels have been studied, cellular expression, particularly in Afro-Colombians, remains understudied. This research aims to describe cytokine expression in peripheral blood leukocytes and its association with adverse outcomes in COVID-19 patients aged over 60 at Cartagena's referral hospital.

Methods

A cohort study was conducted, encompassing severe and critical cases of COVID-19 between November 2021 and February 2022. At baseline, the cellular expression level of cytokines IL-2, IL-4, IL-6, IL-10, TNF-α and IFN-γ was assessed using flow cytometry. Additionally, various biochemical, hematological, and coagulation markers were evaluated. The main outcome was time to death.

Results

Among the 50 enrolled participants, the median age was 76.5 years, 60% were male, 60% were admitted to the ICU, and 42% died. Lactate dehydrogenase and hemoglobin were the only markers that differed between fatal and surviving cases. Regarding cytokines, the level of IL-6 expression was associated with an increased risk of death. Specifically, a one percent increase in the expression was associated with a 7.3% increase in the risk of death. Stratifying the analysis by death and ICU admission, the median expression level remained high in fatal cases who were admitted to the ICU.

Conclusions

Our findings revealed a significant association between high cellular expression levels of IL-6 and an increased risk of mortality. These results provide valuable scientific insights that could inform the prioritization of case management, providing especially advantageous for the vulnerable Afro-Colombian group.

Sickle cell disease and coronavirus disease-2019 (COVID-19) infection: a single-center experience

PURPOSE

Sickle cell disease (SCD) has been found to be associated with an increased risk of hospitalization and death from coronavirus disease-2019 (COVID-19). We sought to study clinical outcomes in patients with SCD and a diagnosis of COVID-19 infection.

METHODS

We conducted a retrospective analysis of adult patients (>18 years) with SCD who were diagnosed with COVID-19 infection between 1 March 2020 and 31 March 2021. Data on baseline characteristics and overall outcomes were collected and analyzed using SAS 9.4 for Windows.

RESULTS

A total of 51 patients with SCD were diagnosed with COVID-19 infection in the study period, out of which 39.3% were diagnosed and managed in the outpatient setting/emergency room (ER) and 60.3% in the inpatient setting. Disease-modifying therapy such as hydroxyurea did not impact inpatient vs outpatient/ER management (P > 0.05). Only 5.71% (n = 2) required intensive care unit admission and were mechanically ventilated and 3.9% (2 patients) died of complications of COVID-19 infection.

CONCLUSION

We identified a lower mortality (3.9%) rate among patients in our cohort in comparison to previous studies and a higher burden of inpatient hospitalizations as compared to outpatient/ER management. Further prospective data are needed to validate these findings. Key messages What is already known on this topic COVID-19 has been shown to have a disproportionately unfavorable impact on African Americans, including longer hospital stays, higher rates of ventilator dependence, and a higher overall mortality rate. Limited data also suggest that sickle cell disease (SCD) is associated with an increased risk of hospitalization and death from COVID-19. What this study adds Our analysis did not show a higher mortality due to COVID-19 in patients with SCD. However, we identified a high burden of inpatient hospitalizations in this population. COVID-19-related outcomes did not improve with the use of disease-modifying therapies. How this study might affect research, practice, or policy These results will aid in decision making for triage of patients with COVID-19 and SCD and ensure the most appropriate use of healthcare resources. Our analysis underscores the need for more robust data to identify patients at higher risk of severe disease and/or mortality, necessitating inpatient hospitalization and aggressive management.

Assessing the Impact of COVID-19 Vaccines on Sickle Cell Anaemia Patients: A Comparative Analysis of Biochemical and Haematological Parameters

The coronavirus disease 2019 (COVID-19) vaccines have been developed to help prevent the spread of the virus infections. The COVID-19 vaccines, including Pfizer, Moderna, and AstraZeneca, have undergone rigorous testing and have demonstrated both safety and effectiveness. Extensive evidence supports their effectiveness in preventing severe illness, hospitalization, and mortality associated with COVID-19 infection. The administration of COVID-19 vaccines can directly affect hematological and biochemical parameters, with reported cases showing an association with thrombosis and thrombocytopenia. Therefore, it was hypothesized that COVID-19 vaccines may also influence hematological and biochemical markers in sickle cell patients. This study aimed to investigate the side effects of COVID-19 vaccines on sickle cell patients, providing a comprehensive evaluation of hematological and biochemical parameters. To our knowledge, this is the first study of its kind conducted in Saudi Arabia. The study included the evaluation of Pfizer and Oxford-AstraZeneca vaccines in sickle cell patients, measuring key parameters. Our findings revealed varying impacts of both vaccines on the ALT, AST, and CRP levels. Notably, CRP and ALT exhibited potential as indicators for renal disease, diabetes, and arthritis. However, further investigations are necessary to uncover the underlying mechanisms that drive these observed differences and comprehend their clinical implications for this vulnerable patient population. The unique nature of our study fills a crucial research gap and underscores the need for additional research in this area.

Cyr N, Douen A, Fogel J, Trillo J. A retrospective analysis of clinical outcomes between hospitalized patients with COVID-19 who received famotidine or pantoprazole

Background and Aim

There is limited research on the use of histamine-H2 receptor antagonists and proton pump inhibitors for treating COVID-19. We compare clinical outcomes between patients hospitalized with COVID-19 receiving famotidine or pantoprazole.

Methods

This retrospective study included 2184 patients (famotidine: n = 638, pantoprazole: n = 727, nonuse: n = 819) aged 18 years or older treated for COVID-19 from March 2020 to March 2021. Patients who received both famotidine and pantoprazole treatments were excluded. Multivariate logistic regression was used for the primary outcome, namely all-cause mortality, and the secondary outcomes, namely mechanical ventilation, vasopressor use, acute kidney injury, and gastrointestinal bleeding. The main predictor variable was the use of famotidine or pantoprazole. Covariates were demographics, chronic diseases, and symptoms.

Results

As compared to nonuse, famotidine (OR: 0.30, 95% CI: 0.20-0.44, P < 0.001) and pantoprazole (OR: 0.47, 95% CI: 0.33-0.66, P < 0.001) were significantly associated with lower odds for all-cause mortality. Comparison of famotidine and pantoprazole showed that the former had lower odds for all-cause mortality (OR: 0.65, 95% CI:0.45-0.95, P < 0.05), mechanical ventilation (OR: 0.38, 95% CI: 0.25-0.58, P < 0.001), vasopressor use (OR: 0.33, 95% CI: 0.22-0.48, P < 0.001), acute kidney injury (OR: 0.40, 95% CI: 0.30-0.54, P < 0.001), and gastrointestinal bleeding (OR: 0.15, 95% CI: 0.08, 0.29, P < 0.001).

Conclusions

Famotidine is associated with lower odds for all-cause mortality, mechanical ventilation, vasopressor use, acute kidney injury, and gastrointestinal bleeding as compared to pantoprazole in patients hospitalized with COVID-19. We recommend that clinicians consider the use of famotidine over pantoprazole for hospitalized COVID-19 patients. Future research with a clinical trial would be beneficial to further support such use of famotidine.

Anemia as a risk factor for disease progression in patients admitted for COVID-19: data from a large, multicenter cohort study

In respiratory infections, anemia is both a consequence of acute inflammation and a predictor of poor clinical outcomes. There are few studies investigating the role of anemia in COVID-19, suggesting a potential role in predicting disease severity. In this study, we aimed to assess the association between the presence of anemia at admission and incidence of severe disease and death in patients hospitalized for COVID-19. Data from all adult patients admitted for COVID-19 in University Hospital "P. Giaccone" Palermo, and University Hospital of Bari, Italy, were retrospectively collected from 1st of September 2020 to 31 August 2022. The association between anemia (defined as Hb < 13 g/dl and < 12 g/dl in males and females, respectively), in-hospital mortality and severe COVID-19 was tested using a Cox's regression analysis. Severe COVID-19 forms were defined as admission to intensive or sub-intensive care unit or a qSOFAscore ≥ 2 or CURB65scores ≥ 3. p values were calculated using the Student's t test for continuous variables and the Mantel-Haenszel Chi-square test for categorical ones. The association between anemia and the mortality was made using a Cox's regression analysis, adjusted, in two models, for the potential confounders and using a propensity score. Among the 1562 patients included in the analysis, prevalence of anemia was 45.1% (95% CI 43-48%). Patients with anemia were significantly older (p < 0.0001), reported more co-morbidities, and presented higher baseline levels of procalcitonin, CRP, ferritin and IL-6. Overall, the crude incidence of mortality was about four times higher in patients with anemia compared to those without. After adjusting for 17 potential confounders, the presence of anemia significantly increased the risk of death (HR = 2.68; 95% CI: 1.59-4.52) and of risk of severe COVID-19 (OR = 2.31; 95% CI: 1.65-3.24). The propensity score analysis substantially confirmed these analyses. Our study provides evidence that, in patients hospitalized for COVID-19, anemia is both associated with a more pronounced baseline pro-inflammatory profile and higher incidence of in-hospital mortality and severe disease.

Lung Injury in COVID-19 Has Pulmonary Edema as an Important Component and Treatment with Furosemide and Negative Fluid Balance (NEGBAL) Decreases Mortality

The SARS-CoV2 promotes dysregulation of Renin-Angiotensin-Aldosterone. The result is excessive retention of water, producing a state of noxious hypervolemia. Consequently, in COVID-19 injury lung is pulmonary edema. Our report is a case-control study, retrospective. We included 116 patients with moderate-severe COVID-19 lung injury. A total of 58 patients received standard care (Control group). A total of 58 patients received a standard treatment with a more negative fluid balance (NEGBAL group), consisting of hydric restriction and diuretics. Analyzing the mortality of the population studied, it was observed that the NEGBAL group had lower mortality than the Control group, p = 0.001. Compared with Controls, the NEGBAL group had significantly fewer days of hospital stay (p < 0.001), fewer days of ICU stay (p < 0.001), and fewer days of IMV (p < 0.001). The regressive analysis between PaO₂/FiO₂BAL and NEGBAL demonstrated correlation (p = 0.04). Compared with Controls, the NEGBAL group showed significant progressive improvement in PaO₂/FiO₂ (p < 0.001), CT score (p < 0.001). The multivariate model, the vaccination variables, and linear trends resulted in p = 0.671 and quadratic trends p = 0.723, whilst the accumulated fluid balance is p < 0.001. Although the study has limitations, the promising results encourage more research on this different therapeutic approach, since in our research it decreases mortality.

Lack of Evidence on Association between Iron Deficiency and COVID-19 Vaccine-Induced Neutralizing Humoral Immunity

Iron is a crucial micronutrient for immunity induction in response to infections and vaccinations. This study aimed to investigate the effect of iron deficiency on COVID-19-vaccine-induced humoral immunity. We investigated the effectiveness of COVID-19 vaccines (BNT162b2, mRNA-1273, and ChAdOx nCov-2019) in iron-deficient individuals (n = 63) and provide a side-by-side comparison to healthy controls (n = 67). The presence of anti-SARS-CoV-2 spike (S) and anti-nucleocapsid (NP) IgG were assessed using in-house S- and NP-based ELISA followed by serum neutralization test (SNT). High concordance between S-based ELISA and SNT results was observed. The prevalence of neutralizing antibodies was 95.24% (60/63) in the study group and 95.52% (64/67) in the controls with no significant difference. The presence/absence of past infection, period since vaccination, vaccine type, and being iron-deficient or having iron-deficiency anemia did not exert any significant effect on the prevalence or titer of anti-SARS-CoV-2 neutralizing antibodies. NP-based ELISA identified individuals unaware of exposure to SARS-CoV-2. Moreover, absence of anti-NP IgG was noted in participants who were previously diagnosed with COVID-19 suggesting the unpredictability of after-infection immunity. To sum up, this study demonstrated an initial lack of evidence on the association between iron deficiency and the effectiveness of COVID-19-vaccine-induced neutralizing humoral immunity. Similar studies with larger sample size remain necessary to obtain comprehensive conclusions about the effect or lack of effect of iron on COVID-19-vaccine effectiveness.

Clinical risk factors of adverse outcomes among women with COVID-19 in the pregnancy and postpartum period: a sequential, prospective meta-analysis

OBJECTIVE

This sequential, prospective meta-analysis sought to identify risk factors among pregnant and postpartum women with COVID-19 for adverse outcomes related to disease severity, maternal morbidities, neonatal mortality and morbidity, and adverse birth outcomes.

DATA SOURCES

We prospectively invited study investigators to join the sequential, prospective meta-analysis via professional research networks beginning in March 2020.

STUDY ELIGIBILITY CRITERIA

Eligible studies included those recruiting at least 25 consecutive cases of COVID-19 in pregnancy within a defined catchment area.

METHODS

We included individual patient data from 21 participating studies. Data quality was assessed, and harmonized variables for risk factors and outcomes were constructed. Duplicate cases were removed. Pooled estimates for the absolute and relative risk of adverse outcomes comparing those with and without each risk factor were generated using a 2-stage meta-analysis.

RESULTS

We collected data from 33 countries and territories, including 21,977 cases of SARS-CoV-2 infection in pregnancy or postpartum. We found that women with comorbidities (preexisting diabetes mellitus, hypertension, cardiovascular disease) vs those without were at higher risk for COVID-19 severity and adverse pregnancy outcomes (fetal death, preterm birth, low birthweight). Participants with COVID-19 and HIV were 1.74 times (95% confidence interval, 1.12-2.71) more likely to be admitted to the intensive care unit. Pregnant women who were underweight before pregnancy were at higher risk of intensive care unit admission (relative risk, 5.53; 95% confidence interval, 2.27-13.44), ventilation (relative risk, 9.36; 95% confidence interval, 3.87-22.63), and pregnancy-related death (relative risk, 14.10; 95% confidence interval, 2.83-70.36). Prepregnancy obesity was also a risk factor for severe COVID-19 outcomes including intensive care unit admission (relative risk, 1.81; 95% confidence interval, 1.26-2.60), ventilation (relative risk, 2.05; 95% confidence interval, 1.20-3.51), any critical care (relative risk, 1.89; 95% confidence interval, 1.28-2.77), and pneumonia (relative risk, 1.66; 95% confidence interval, 1.18-2.33). Anemic pregnant women with COVID-19 also had increased risk of intensive care unit admission (relative risk, 1.63; 95% confidence interval, 1.25-2.11) and death (relative risk, 2.36; 95% confidence interval, 1.15-4.81).

CONCLUSION

We found that pregnant women with comorbidities including diabetes mellitus, hypertension, and cardiovascular disease were at increased risk for severe COVID-19-related outcomes, maternal morbidities, and adverse birth outcomes. We also identified several less commonly known risk factors, including HIV infection, prepregnancy underweight, and anemia. Although pregnant women are already considered a high-risk population, special priority for prevention and treatment should be given to pregnant women with these additional risk factors.

Significance of hematologic abnormalities in COVID-19 severity among infected patients in Lagos, Nigeria

BACKGROUND

There have been suggestions that hematologic abnormalities in COVID-19 are linked with the progression and severity of diseases and mortality. Lymphopenia, sepsis, and thrombocytopenia were highly reported in patients with COVID-19. This study investigated the significance of hematologic abnormalities in patients with COVID-19 in Lagos, Nigeria, and its potential as a diagnostic tool for COVID-19 severity.

RESULTS

This was a retrospective observational study with a total of 340 patients with COVID-19 (236 patients included in the analysis). These patients were categorized into two groups, comprising 71 patients with severe COVID-19 (SCP) and 165 patients with non-severe COVID-19 (NSCP). The majority were males in both categories (SCP 74.6% and NSCP 63.6%). The mean ± SD ages for SCP and NSCP were 52.28 ± 16.87 and 42.44 ± 17.18 years, respectively. The SCP (52.1%) and NSCP (20.0%) had underlying health conditions. The SCP exhibited significantly higher neutrophil counts (P < 0.05) and significantly lower mean hemoglobin, red blood cell (RBC), packed cell volume (PCV), and lymphocyte values (P < 0.05). Anemia and lymphocytopenia were more prominent in the SCP group than in the NSCP group (P < 0.05). Hemoglobin, RBC, PCV, and lymphocytes were inversely correlated with age-group in the SCP, while only lymphocytes and platelets were inversely correlated with age-group in the NSCP. The highest area under the ROC curve (AUC) for neutrophils was 0.739 with a sensitivity of 62.0% and specificity of 80.0%, while white blood cells had an AUC of 0.722 with a sensitivity of 73.2% and specificity of 61.2%. The AUC for neutrophil-lymphocyte ratio (NLR) was 0.766 with a sensitivity of 63.3% and specificity of 83.5%, while that for the platelet-lymphocyte ratio (PLR) was 0.695 with a sensitivity and specificity of 61.7% and 77.8%.

CONCLUSIONS

COVID-19 affected the levels of hemoglobin, RBC, PCV, and lymphocytes in the blood, and the differences were significant between the SCP and NSCP. The significant changes in neutrophil and lymphocyte counts may be useful in the prognosis and management of COVID-19 severity in hospital settings. Furthermore, NLR and PLR may be used in the prognosis and management of severe COVID-19 infection, as well as provide an objective basis for early identification and management in low-resource settings.

On-Admission Anemia and Survival Rate in COVID-19 Patients

Anemia often worsens the severity of respiratory illnesses, and few studies have so far elucidated the impact of anemia on COVID-19 infection. This study aimed to evaluate the effect of anemia at admission on the overall survival of COVID-19 patients using accelerated failure time (AFT) models.

This registry-based, single-center retrospective cohort study was conducted in a university hospital in Ilam, the southwest of Iran, between March 2020 and September 2021. AFT models were applied to set the data of 2,441 COVID-19 patients. Performance of AFT models was assessed using Akaike’s information criterion (AIC) and Cox-Snell residual. On-admission anemia was defined as hemoglobin (Hb) concentration <120 g/l in men, <110 g/l in women, and <100 g/l in pregnant women.

The median in-hospital survival times for anemic and non-anemic patients were 27 and 31 days, respectively. Based on the AIC and Cox-Snell residual graph, the Weibull model had the lowest AIC and it was the best fitted model to the data set among AFT models. In the adjusted model, the results of the Weibull model suggested that the anemia (adjusted time ratio: 1.04; 95% CI: 1.00-1.08; p = 0.03) was the accelerated factor for progression to death in COVID-19 patients. Each unit of increase in hemoglobin in COVID-19 patients enhanced the survival rate by 4%.

Anemia is an independent risk factor associated with the risk of mortality from COVID-19 infection. Therefore, healthcare professionals should be more sensitive to the Hb level of COVID-19 patients upon admission.

Detection of erythroid progenitors and erythrocytopathies in patients with severe COVID-19 disease

OBJECTIVES

To assess the effect of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection on erythropoiesis and red blood cells (RBC) surface markers by evaluating erythroid progenitor cells (CD [cluster of differentiation]71⁺/CD235a⁺) and RBC surface markers (CD235a and CD36), together with various hematological parameters.

METHODS

This case-control study includes 47 participants recruited in the study: 30 patients with coronavirus disease 2019 (COVID-19) and 17 healthy individuals. The COVID-19 patients were recruited from the intensive care unit (ICU) of various hospitals in Makkah, Saudi Arabia. Blood samples were collected during July and September 2021. Red blood cells indices were measured using a CBC analyzer. The expression of CD235a, CD71, and CD36 was obtained using flow cytometry technique. The unpaired t-test was conducted to evaluate the differences in these markers in COVID-19 patients and healthy individuals.

RESULTS

The data showed that more than half of the COVID-19 patients were anemic (64%). Expansion of erythroid progenitors (CD71⁺/CD235a⁺) was detected in the COVID-19 patients. Analysis of the expression of RBC surface markers, such as CD235a and CD36, showed that SARS-CoV-2 was associated with significantly higher expression of these markers in COVID-19 patients.

CONCLUSION

Severe acute respiratory syndrome coronavirus-2 promoted the expansion of erythroid progenitors in the peripheral blood of COVID-19 patients. In addition, the expression of RBC surface markers was higher in COVID-19 patients. The expansion of erythroid progenitors and alteration of RBC surface markers can contribute to erythrocytopathies observed in severe COVID-19 patients and can therefore be used as prognostic factors.

Iron Deficiency Anemia: Efficacy and Limitations of Nutritional and Comprehensive Mitigation Strategies

Iron deficiency anemia (IDA) has reached epidemic proportions in developing countries and has become a major global public health problem, affecting mainly 0–5-year-old children and young women of childbearing age, especially during pregnancy. Iron deficiency can lead to life-threatening loss of red blood cells, muscle function, and energy production. Therefore, the pathogenic features associated with IDA are weakness and impaired growth, motor, and cognitive performance. IDA affects the well-being of the young generation and the economic advancement of developing countries, such as India. The imbalance between iron intake/absorption/storage and iron utilization/loss culminates into IDA. However, numerous strategic programs aimed to increase iron intake have shown that improvement of iron intake alone has not been sufficient to mitigate IDA. Emerging critical risk factors for IDA include a composition of cultural diets, infections, genetics, inflammatory conditions, metabolic diseases, dysbiosis, and socioeconomic parameters. In this review, we discuss numerous IDA mitigation programs in India and their limitations. The new multifactorial mechanism of IDA pathogenesis opens perspectives for the improvement of mitigation programs and relief of IDA in India and worldwide.

Metabolic Reprogramming in SARS-CoV-2 Infection Impacts the Outcome of COVID-19 Patients

Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection triggers inflammatory clinical stages that affect the outcome of patients with coronavirus disease 2019 (COVID-19). Disease severity may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. The aim of this study was to characterize the profile of amino acids and acylcarnitines in COVID-19 patients. A multicenter, cross-sectional study was carried out. A total of 453 individuals were classified by disease severity. Levels of 11 amino acids, 31 acylcarnitines, and succinylacetone in serum samples were analyzed by electrospray ionization-triple quadrupole tandem mass spectrometry. Different clusters were observed in partial least squares discriminant analysis, with phenylalanine, alanine, citrulline, proline, and succinylacetone providing the major contribution to the variability in each cluster (variable importance in the projection >1.5). In logistic models adjusted by age, sex, type 2 diabetes mellitus, hypertension, and nutritional status, phenylalanine was associated with critical outcomes (odds ratio=5.3 (95% CI 3.16-9.2) in the severe vs. critical model, with an area under the curve of 0.84 (95% CI 0.77-0.90). In conclusion the metabolic imbalance in COVID-19 patients might affect disease progression. This work shows an association of phenylalanine with critical outcomes in COVID-19 patients, highlighting phenylalanine as a potential metabolic biomarker of disease severity.

A composite ranking of risk factors for COVID-19 time-to-event data from a Turkish cohort

Having a complete and reliable list of risk factors from routine laboratory blood test for COVID-19 disease severity and mortality is important for patient care and hospital management. It is common to use meta-analysis to combine analysis results from different studies to make it more reproducible. In this paper, we propose to run multiple analyses on the same set of data to produce a more robust list of risk factors. With our time-to-event survival data, the standard survival analysis were extended in three directions. The first is to extend from tests and corresponding p-values to machine learning and their prediction performance. The second is to extend from single-variable to multiple-variable analysis. The third is to expand from analyzing time-to-decease data with death as the event of interest to analyzing time-to-hospital-release data to treat early recovery as a meaningful event as well. Our extension of the type of analyses leads to ten ranking lists. We conclude that 20 out of 30 factors are deemed to be reliably associated to faster-death or faster-recovery. Considering correlation among factors and evidenced by stepwise variable selection in random survival forest, 10 ~ 15 factors seem to be able to achieve the optimal prognosis performance. Our final list of risk factors contain calcium, white blood cell and neutrophils count, urea and creatine, d-dimer, red cell distribution widths, age, ferritin, glucose, lactate dehydrogenase, lymphocyte, basophils, anemia related factors (hemoglobin, hematocrit, mean corpuscular hemoglobin concentration), sodium, potassium, eosinophils, and aspartate aminotransferase.

Risk factors for hospitalisation and death from COVID-19: a prospective cohort study in South Sudan and Eastern Democratic Republic of the Congo

OBJECTIVES

Our study described demographic characteristics, exposures and symptoms, and comorbidities to evaluate risk factors of hospitalisation and mortality among cases in Juba, South Sudan (SSD) and North and South Kivu in eastern Democratic Republic of the Congo (DRC).

DESIGN

Prospective observational cohort of COVID-19 cases.

METHODS

Individuals presenting for care at one of five study facilities in SSD (n=1) or DRC (n=4) or referred from home-based care by mobile medical teams between December 2020 and June 2021 were eligible for enrolment. Demographic characteristics, COVID-19 exposures, symptoms at presentation, as well as acute and chronic comorbidities, were evaluated using a standard questionnaire at enrolment. Disease progression was characterised by location of care using mixed-effects regression models.

RESULTS

751 individuals were eligible for enrolment. Among cases followed to discharge or death (n=519), 375 were enrolled outpatients (75.7%). A similar number of cases were enrolled in DRC (n=262) and SSD (n=257). Overall mortality was 4.8% (95% CI: 3.2% to 6.9%); there were no outpatient deaths. Patients presenting with any symptoms had higher odds of hospitalisation (adjusted OR (AOR) 2.78, 95% CI 1.47 to 5.27) and all deaths occurred among symptomatic individuals. Odds of both hospitalisation and mortality were greatest among cases with respiratory symptoms; presence of low oxygen levels on enrolment was strongly associated with both hospitalisation (AOR 7.77, 95% CI 4.22 to 14.29) and mortality (AOR 25.29, 95% CI 6.42 to 99.54). Presence of more than one chronic comorbidity was associated with 4.96 (95% CI 1.51 to 16.31) times greater odds of death; neither infectious comorbidities evaluated, nor malnutrition, were significantly associated with increased mortality.

CONCLUSIONS

Consistent with prior literature, older age, low oxygen level, other respiratory symptoms and chronic comorbidities were all risk factors for mortality. Patients presenting with these characteristics were more likely to be hospitalised, providing evidence of effective triage and referral.

TRIAL REGISTRATION NUMBER

NCT04568499.

Clinical Characteristics, Risk Factors for Severity and Pharmacotherapy in Hospitalized COVID-19 Patients in the United Arab Emirates

Data on the clinical characteristics, severity and management of COVID-19 from the Middle East region, especially the United Arab Emirates (UAE), is very limited. We studied the clinical characteristics, laboratory biomarkers, risk factors for severity and pharmacotherapy of hospitalized COVID-19 patients in this single-center, analytical cross-sectional study conducted in a secondary care hospital of the UAE. A total of 585 patients were included in the study (median age, 49 years (IQR, 39−59); 66% male). Age > 45 years (OR = 2.07, 95% CI: 1.04−4.14, p = 0.040), male gender (OR = 3.15, 95% CI: 1.52−6.51, p = 0.002), presentation symptoms such as fever (OR = 3.68, 95% CI:1.34−10.11, p = 0.011) and shortness of breath/dyspnea (OR = 5.36, 95% CI: 2.69−10.67, p < 0.001), Hb < 13 g/dL (OR = 3.17, 95% CI: 1.51−6.65, p = 0.002), neutrophils > 7 × 103/mcL (OR = 4.89, 95% CI: 1.66−14.37, p=0.004), lymphocytes < 1 × 103/mcL (OR = 7.78, 95% CI: 1.01−60.19, p = 0.049), sodium < 135 mmol/L (OR = 5.42, 95% CI: 1.05−27.95, p = 0.044), potassium < 3.6 mmol/L (OR = 3.36, 95% CI: 1.03−11.01, p = 0.045), urea > 6.5 mmol/L (OR = 3.37, 95% CI: 1.69−6.73, p = 0.001) and LDH > 227 IU/L (OR = 6.26, 95% CI: 1.61−24.32, p = 0.008) were independent predictors of the severity of COVID-19. Antivirals (524, 89.6%) and corticosteroids (358, 61.2%) were prescribed for the management of COVID-19. In conclusion, older age, male gender, presentation symptoms such as fever and dyspnea, low hemoglobin, neutrophilia, lymphopenia, hyponatremia, hypokalemia, elevated levels of urea and lactate dehydrogenase were found to be independent risk factors for severe COVID-19. The pharmacotherapy of COVID-19 patients in our study was diverse, and the medications were prescribed based on the clinical condition of the patients.

Epidemiological features and dynamic changes in blood biochemical indices for COVID-19 patients in Hebi

BACKGROUND

Millions of people have died of coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and retrospective studies of the disease in local regions are necessary.

AIM

To characterize the epidemiological features and dynamic changes in blood biochemical indices for SARS-CoV-2-infected patients in Hebi, a representative city with a large floating population in North China.

METHODS

From January 25 to February 10, 2020, the clinical data of patients who tested positive for SARS-CoV-2 by quantitative real-time polymerase chain reaction in Hebi city (China) were evaluated at admission, and laboratory data for hematologic parameters, inflammatory indices, coagulation function indices, liver function indices, blood lipid indices, renal function indices, myocardial enzyme activities and five blood biochemical markers of immunity were evaluated at admission, upon hospitalization and before discharge.

RESULTS

Sixteen confirmed COVID-19 patients developed pneumonia but were cured after adequate treatment. Fever and fatigue were the common symptoms. The most common laboratory abnormalities of patients at admission were leukopenia, eosinopenia, decreased percentage of eosinophils, elevated high sensitivity C-reactive protein and fibrinogen levels, hypoalbuminemia, mildly increased aspartate transferase activity and levels of bilirubin, and increased levels of β2-microglobulin. Importantly, aggravated liver dysfunction was detected in most patients, which may be partially attributed to virus infection as well as medicinal treatment.

CONCLUSION

This study provides several potential diagnostic markers and dynamic biochemical indices of disease progression to better prevent, diagnose and treat COVID-19 infection.

Ivermectin and outcomes from Covid‐19 pneumonia: A systematic review and meta‐analysis of randomized clinical trial studies

Ivermectin is an FDA‐approved drug for a parasitic disease that has broad antiviral activity. This study aims to analyse the efficacy of ivermectin in improving the Covid‐19 outcomes. We systematically searched the PubMed, Europe PMC and ClinicalTrials.gov database using specific keywords related to our aims until 10th May 2021. All published randomized clinical trial studies on Covid‐19 and ivermectin were retrieved. The quality of the study was assessed using Jadad scale assessment tool for clinical trial studies. Statistical analysis was done using Review Manager 5.4 software. A total of 19 studies with 2768 Covid‐19 patients were included in this meta‐analysis. This meta‐analysis showed that ivermectin was associated with reduction in severity of Covid‐19 (RR 0.43 [95% CI 0.23–0.81], p = 0.008), reduction of mortality (RR 0.31 [95% CI 0.15–0.62], p = 0.001), higher negative RT‐PCR test results rate (RR 1.23 [95% CI 1.01–1.51], p = 0.04), shorter time to negative RT‐PCR test results (mean difference [MD] −3.29 [95% CI −5.69, −0.89], p = 0.007), higher symptoms alleviations rate (RR 1.23 [95% CI 1.03−1.46], p = 0.02), shorter time to symptoms alleviations (MD −0.68 [95% CI −1.07, −0.29], p = 0.0007) and shorter time to hospital discharge (MD −2.66 [95% CI −4.49, −0.82], p = 0.004). Our study suggests that ivermectin may offer beneficial effects towards Covid‐19 outcomes. More randomized clinical trial studies are still needed to confirm the results of our study.

Research into Morphofunctional Characteristics of Erythrocytes in COVID-19 Patients

In this paper, the erythrocytes of healthy donors and people with a confirmed diagnosis of COVID-19 were tested by Raman spectroscopy and laser interference microscopy. We argue that erythrocytes (red blood cells) in COVID-19 patients have an irregular shape, and their morphometric characteristics are impaired in comparison to healthy red blood cells. Raman spectroscopy also allows us to detect a decreased oxygen transport function of these erythrocytes. The combination of these methods—Raman spectroscopy and laser interference microscopy—is a highly effective method for the diagnosis of SARS-CoV-2.

Micronutrient Level Is Negatively Correlated with the Neutrophil-Lymphocyte Ratio in Patients with Severe COVID-19

AIM

To explore the potential relationship between NLR and micronutrient deficiency in patients with severe COVID-19 infection.

METHODS

Sixteen patients were categorized into the mild group (mild COVID-19) and severe group (severe COVID-19) based on the guideline of the management of COVID-19. The lactate dehydrogenase (LDH); superoxide dismutase (SOD), the inflammatory markers (neutrophil lymphocyte ratio (NLR)), erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), selenium (Se), iron (Fe), zinc (Zn), nickel (Ni), copper (Cu), chromium (Cr), cadmium (Cd), arsenic (As), and manganese (Mn) were measured in the blood.

RESULTS

Compared to the mild group, the NLR (P < 0.05) and the level of Se (P < 0.01), Fe (P < 0.05), and Zn (P < 0.05) were significantly decreased in the severe group. The level of Se, Fe, and Zn was significantly correlated to NLR levels. Furthermore, close positive correlation was found between NLR and severity of COVID-19.

CONCLUSION

The micronutrient deficiency in the blood is associated with NLR in the severity of COVID-19 patients.

Clinical progression and outcomes of patients hospitalized with COVID-19 in humanitarian settings: A prospective cohort study in South Sudan and Eastern Democratic Republic of the Congo

Little information is available on COVID-19 in Africa and virtually none is from humanitarian and more resource-constrained settings. This study characterizes hospitalized patients in the African humanitarian contexts of Juba, South Sudan and North and South Kivu in Eastern Democratic Republic of the Congo. This observational cohort was conducted between December 2020 and June 2021. Patients presenting for care at five facilities or referred from home-based care by mobile medical teams were eligible for enrollment and followed until death or recovery. Disease progression was characterized for hospitalized patients using survival analysis and mixed effects regression model to estimate survival odds for patient characteristics and treatments received. 144 COVID-19 cases enrolled as hospitalized patients were followed to recovery/death. The observed mortality proportion among hospitalized patients was 16.7% (CI: 11.2-23.3%); mortality was three times higher in South Sudan, where patients presented later after symptom onset and in worse conditions. Age and diabetes history were the only patient characteristics associated with decreased survival; clinical status indicators associated with decreased survival included fever, low oxygen level, elevated respiratory and pulse rates. The only therapy associated with survival was non-invasive oxygen; invasive oxygen therapies and other specialized treatments were rarely received. Improving availability of oxygen monitoring and proven COVID-19 therapies in humanitarian and resource-poor settings is critical for health equity. Customizing training to reflect availability of specific medications, therapies and operational constraints is particularly important given the range of challenges faced by providers in these settings.

Recent Advancements on COVID-19: A Comprehensive Review

Over the last few decades, there have been several global outbreaks of severe respiratory infections. The causes of these outbreaks were coronaviruses that had infected birds, mammals and humans. The outbreaks predominantly caused respiratory tract and gastrointestinal tract symptoms and other mild to very severe clinical signs. The current coronavirus disease-2019 (COVID-19) outbreak, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a rapidly spreading illness affecting millions of people worldwide. Among the countries most affected by the disease are the United States of America (USA), India, Brazil, and Russia, with France recording the highest infection, morbidity, and mortality rates. Since early January 2021, thousands of articles have been published on COVID-19. Most of these articles were consistent with the reports on the mode of transmission, spread, duration, and severity of the sickness. Thus, this review comprehensively discusses the most critical aspects of COVID-19, including etiology, epidemiology, pathogenesis, clinical signs, transmission, pathological changes, diagnosis, treatment, prevention and control, and vaccination.

Mortality Risk within 14 Days after Coronavirus Disease 2019 Diagnosis in Dementia Patients: A Nationwide Analysis

INTRODUCTION

The study evaluated the increased mortality risk within 14 days of coronavirus disease 2019 (COVID-19) diagnosis in dementia patients.

METHODS

This retrospective study was conducted from February to April 2020 using the COVID-19 patients' database from the Korea Disease Control and Prevention Agency. The risk factors for early death within 14 days were determined using generalized logistic regression performed in a stepwise manner. Dementia patients diagnosed with COVID-19 were used for the study. The propensity score-matched cohort was included as controls. The differences in mortality within 14 days after COVID-19 diagnosis between the dementia patients and controls were evaluated.

RESULTS

We enrolled 5,349 COVID-19 patients from the database; 224 had dementia as comorbidity. The mortality rate within 14 days after COVID-19 diagnosis in dementia patients and the controls was 23.7% versus 1.7%, respectively, before propensity score matching (PSM) (p < 0.001), and 23.7% versus 9.2% after PSM (p < 0.001). The hazard ratio (HR) for mortality within 14 days in COVID-19 patients with dementia was significant even after PSM (HR 5.104, 95% confidence interval 2.889-5.673, p < 0.001). The survival curve of dementia patients was steeply inclined within 14 days after COVID-19 diagnosis, resulting in 70.7% of all deaths in dementia patients.

CONCLUSIONS

COVID-19 patients with dementia had a higher risk of early death within 14 days. Thus, prompt intervention is necessary for dementia patients after COVID-19 diagnosis.

Pulmonary Edema in COVID-19 Treated with Furosemide and Negative Fluid Balance (NEGBAL): A Different and Promising Approach

In COVID-19, pulmonary edema has been attributed to “cytokine storm”. However, it is known that SARS-CoV2 promotes angiotensin-converting enzyme 2 deficit, increases angiotensin II, and this triggers volume overload. Our report is based on COVID-19 patients with tomographic evidence of pulmonary edema and volume overload to whom established a standard treatment with diuretic (furosemide) guided by objectives: Negative Fluid Balance (NEGBAL approach). Retrospective observational study. We reviewed data from medical records: demographic, clinical, laboratory, blood gas, and chest tomography (CT) before and while undergoing NEGBAL, from 20 critically ill patients. Once the NEGBAL strategy was started, no patient required mechanical ventilation. All cases reverted to respiratory failure with NEGBAL, but subsequently two patients died from sepsis and acute myocardial infarction (AMI). The regressive analysis between PaO2/FiO2BAL and NEGBAL demonstrated correlation (p < 0.032). The results comparing the Pao2Fio2 between admission to NEGBAL to NEGBAL day 4, were statistically significant (p < 0.001). We noted between admission to NEGBAL and day 4 improvement in CT score (p < 0.001), decrease in the superior vena cava diameter (p < 0.001) and the decrease of cardiac axis (p < 0.001). Though our study has several limitations, we believe the promising results encourage further investigation of this different pathophysiological approach.

The Role of Different Inflammatory Indices in the Diagnosis of COVID-19

AIM

To assess the role of different inflammatory indices in the diagnosis of COVID-19 infection.

METHODS

The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), derived NLR (dNLR), neutrophil to lymphocyte, platelet ratio (NLPR), systemic inflammation index (SII), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI) and C-reactive protein-to-lymphocyte ratio (CRP/L) were assessed in 88 COVID-19 patients compared to 41 healthy control subjects.

RESULTS

The NLR, PLR, NLPR, SIRI, and CRP/L were significantly increased, while LMR was significantly decreased in COVID-19 patients compared to the control group (P = 0.008, 0.011, <0.001, 0.032, 0.002 and P < 0.001; respectively). The AUC for the assessed indices was LMR (0.738, P = 0.008), NLPR (0.721, P < 0.001), CRP/L (0.692, P = 0.002), NLR (0.649, P < 0.001), PLR (0.643, P = 0.011), SIRI (0.623, P = 0.032), dNLR (0.590, P = 0.111), SII (0.571, P = 0.207), and AISI (0.567, P-0.244). Multivariate analysis showed that NLPR >0.011 (OR: 38.751, P = 0.014), and CRP/L >7.6 (OR: 7.604, P = 0.022) are possible independent diagnostic factors for COVID-19 infection.

CONCLUSION

NLPR and CRP/L could be potential independent diagnostic factors for COVID-19 infection.

Psychiatric sequelae in COVID-19 survivors: A narrative review

In December 2019, a novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was initially reported in Wuhan, China. Previous epidemics including SARS and middle east respiratory syndrome raises concern that COVID-19 infection may pose a significant threat to the mental health of affected individuals. Studies and reviews have shown the acute psychiatric manifestations in COVID-19 patients, although long term psychiatric sequelae are predicted, there are only few review studies about the long term psychiatry outcome in COVID-19 survivors. Clinically significant post-traumatic stress disorder, anxiety, and/or depression among COVID-19 survivors during 14-90 d were observed following the diagnosis. Risk of anxiety or depression were higher in patients with more severe illness at 6 mo follow-up, early convalescence, and at 1 mo follow-up. Diagnosis of COVID-19 Led to more first diagnoses and relapses of psychiatric illness during the first 14-90 d after COVID-19 diagnosis. The possible underlying mechanisms of psychiatric sequelae in COVID-19 infection are neurotropism, immune response to SARS-CoV-2, hypothalamo-pituitary-adrenal axis hyperactivity, disrupted neuronal circuits in several brain regions, increased stress levels, neuroinflammation, and neuronal death. This study will review the psychiatric sequelae in previous coronavirus pandemics, current studies, risk factors, and thorough explanation on pathophysiology of the psychiatric sequalae in COVID-19 survivors.

Acute Kidney Disease and Mortality in Acute Kidney Injury Patients with COVID-19

BACKGROUND

The incidence of AKI in coronavirus disease 2019 (COVID-19) patients is variable and has been associated with worse prognosis. A significant number of patients develop persistent kidney damage defined as Acute Kidney Disease (AKD). There is a lack of evidence on the real impact of AKD on COVID-19 patients. We aim to identify risk factors for the development of AKD and its impact on mortality in COVID-19 patients.

METHODS

Retrospective analysis of COVID-19 patients with AKI admitted at the Centro Hospitalar Universitário Lisboa Norte between March and August of 2020. The Kidney Disease Improving Global Outcomes (KDIGO) classification was used to define AKI. AKD was defined by presenting at least KDIGO Stage 1 criteria for >7 days after an AKI initiating event.

RESULTS

In 339 COVID-19 patients with AKI, 25.7% patients developed AKD (n = 87). The mean age was 71.7 ± 17.0 years, baseline SCr was 1.03 ± 0.44 mg/dL, and the majority of patients were classified as KDIGO stage 3 AKI (54.3%). The in-hospital mortality was 18.0% (n = 61). Presence of hypertension (p = 0.006), CKD (p < 0.001), lower hemoglobin (p = 0.034) and lower CRP (p = 0.004) at the hospital admission and nephrotoxin exposure (p < 0.001) were independent risk factors for the development of AKD. Older age (p = 0.003), higher serum ferritin at admission (p = 0.008) and development of AKD (p = 0.029) were independent predictors of in-hospital mortality in COVID-19-AKI patients.

CONCLUSIONS

AKD was significantly associated with in-hospital mortality in this population of COVID-19-AKI patients. Considering the significant risk of mortality in AKI patients, it is of paramount importance to identify the subset of higher risk patients.

Group IIA secreted phospholipase A2 is associated with the pathobiology leading to COVID-19 mortality

There is an urgent need to identify the cellular and molecular mechanisms responsible for severe COVID-19 that results in death. We initially performed both untargeted and targeted lipidomics as well as focused biochemical analyses of 127 plasma samples and found elevated metabolites associated with secreted phospholipase A2 (sPLA2) activity and mitochondrial dysfunction in patients with severe COVID-19. Deceased COVID-19 patients had higher levels of circulating, catalytically active sPLA2 group IIA (sPLA2-IIA), with a median value that was 9.6-fold higher than that for patients with mild disease and 5.0-fold higher than the median value for survivors of severe COVID-19. Elevated sPLA2-IIA levels paralleled several indices of COVID-19 disease severity (e.g., kidney dysfunction, hypoxia, multiple organ dysfunction). A decision tree generated by machine learning identified sPLA2-IIA levels as a central node in the stratification of patients who died from COVID-19. Random forest analysis and least absolute shrinkage and selection operator-based (LASSO-based) regression analysis additionally identified sPLA2-IIA and blood urea nitrogen (BUN) as the key variables among 80 clinical indices in predicting COVID-19 mortality. The combined PLA-BUN index performed significantly better than did either one alone. An independent cohort (n = 154) confirmed higher plasma sPLA2-IIA levels in deceased patients compared with levels in plasma from patients with severe or mild COVID-19, with the PLA-BUN index-based decision tree satisfactorily stratifying patients with mild, severe, or fatal COVID-19. With clinically tested inhibitors available, this study identifies sPLA2-IIA as a therapeutic target to reduce COVID-19 mortality.

Differential impact of COVID-19 in pregnant women from high-income countries and low- to middle-income countries: A systematic review and meta-analysis

BACKGROUND

SARS-CoV-2 has infected a large number of pregnant women.

OBJECTIVE

To compare clinical, perinatal outcomes of women with COVID-19 from high-income countries (HICs) and low- to middle-income countries (LMICs).

SEARCH STRATEGY

Online databases were searched.

SELECTION CRITERIA

Original studies on pregnant women with COVID-19 were included.

DATA COLLECTION AND ANALYSIS

Information on clinical presentation, co-morbidities, pregnancy outcomes, neonatal outcomes, and SARS-CoV-2 infection in neonates was extracted.

MAIN RESULTS

The pooled estimate of SARS-CoV-2 positive neonates is 3.7%. Symptomatic presentations are less common in LMICs compared to HICs (odds ratio [OR] 0.38). Diabetes (OR 0.5), hypertension (OR 0.5), and asthma (OR 0.14) are commonly reported from HICs; hypothyroidism (OR 2.2), anemia (OR 3.2), and co-infections (OR 6.0) are commonly reported in LMICs. The overall risk of adverse pregnancy outcomes is higher in LMICs compared to HICs (OR 2.4). Abortion (OR 6.2), stillbirths (OR 2.0), and maternal death (OR 7.8) are more common in LMICs. Preterm births and premature rupture of membranes are comparable in both groups. Neonatal deaths (OR 3.7), pneumonia (OR 7.5), and neonatal SARS-CoV-2 infection (OR 1.8) are commonly reported in LMICs.

CONCLUSIONS

In LMICs, pregnant women and neonates are more vulnerable to adverse outcomes due to COVID-19. PROSPERO registration no: CRD42020198743.

Comorbidities and Risk Factors for Severe Outcomes in COVID-19 Patients in Saudi Arabia: A Retrospective Cohort Study

Purpose

The first novel coronavirus disease-19 (COVID-19) case in the Kingdom of Saudi Arabia (KSA) was reported in Qatif in March 2020 with continual increase in infection and mortality rates since then. In this study, we aim to determine risk factors which effect severity and mortality rates in a cohort of hospitalized COVID-19 patients in KSA.

Method

We reviewed medical records of hospitalized patients with confirmed COVID-19 positive results via reverse-transcriptase-polymerase-chain-reaction (RT-PCR) tests at Prince Mohammed Bin Abdulaziz Hospital, Riyadh between May and August 2020. Data were obtained for patient’s demography, body mass index (BMI), and comorbidities. Additional data on patients that required intensive care unit (ICU) admission and clinical outcomes were recorded and analyzed with Python Pandas.

Results

A total of 565 COVID-19 positive patients were inducted in the study out of which, 63 (11.1%) patients died while 101 (17.9%) patients required ICU admission. Disease incidences were significantly higher in males and non-Saudi nationals. Patients with cardiovascular, respiratory, and renal diseases displayed significantly higher association with ICU admissions (p<0.001) while mortality rates were significantly higher in COVID-19 patients with cardiovascular, respiratory, renal and neurological diseases. Univariate cox proportional hazards regression model showed that COVID-19 positive patients requiring ICU admission [Hazard’s ratio, HR=4.2 95% confidence interval, CI 2.5–7.2); p<0.001] with preexisting cardiovascular [HR=4.1 (CI 2.5–6.7); p<0.001] or respiratory [HR=4.0 (CI 2.0–8.1); p=0.010] diseases were at significantly higher risk for mortality among the positive patients. There were no significant differences in mortality rates or ICU admissions among males and females, and across different age groups, BMIs and nationalities. Hospitalized patients with cardiovascular comorbidity had the highest risk of death (HR=2.9, CI 1.7–5.0; p=0.020).

Conclusion

Independent risk factors for critical outcomes among COVID-19 in KSA include cardiovascular, respiratory and renal comorbidities.

History of anemia and long-term mortality due to infection: a cohort study with 12 years follow-up in South Korea

BACKGROUND

Anemia, which is a condition with reduced healthy red blood cells, is reported to be closely related to the development of infectious diseases. We aimed to investigate the association between history of anemia and 12-year mortality rate due to infections, and compare it with that among non-anemic individuals.

METHODS

Data from the National Health Insurance Service Health Screening Cohort were used in this population-based cohort study. Adults who underwent standardized medical examination between and 2002-2003 were included, and the mortality rate due to infection between 2004 and 2015 was analyzed. Individuals were considered to have a history of anemia if the serum hemoglobin level in 2002-2003 was < 12 g/dL for women and < 13 g/dL for men. The severity of anemia at that time was categorized as mild (12 g/dL > hemoglobin ≥11 g/dL in women and 13 g/dL > hemoglobin ≥11 g/dL in men), moderate (hemoglobin 8-10.9 g/dL), or severe (hemoglobin < 8 g/dL). Propensity score (PS) matching and Cox regression analysis were used as statistical methods.

RESULTS

Overall, 512,905 individuals were included in this study. The mean age of the participants was 54.5 years old (range: 40-98), and 49,042 (9.6%) individuals were classified in the anemic group, which comprised of 36,383 (7.1%), 11,787 (2.3%), and 872 (0.2%) participants in the mild, moderate, and severe sub-groups, respectively. After PS matching, 49,039 individuals in each group were included in the analysis. The risk of mortality due to infection in the anemic group was 1.77-fold higher (hazard ratio [HR]: 1.77, 95% confidence interval [CI]: 1.52-2.60; P < 0.001) than that in the non-anemic group. In the subgroup analysis, the mild and moderate anemia groups had 1.38-fold (HR: 1.38, 95% CI: 1.23 to 1.55; P < 0.001) and 2.02-fold (HR: 2.02, 95% CI: 1.62 to 2.50; P < 0.001) risk of mortality due to infection compared to that of the non-anemic group, respectively. The severe anemia group did not have a significantly different risk of mortality due to infection (P = 0.448).

CONCLUSIONS

History of anemia was associated with increased mortality rate due to infection at 12-year follow-up.

Insulin therapy and outcome from coronavirus disease 2019 (COVID-19): A Systematic Review, Meta-Analysis, and Meta-Regression

BACKGROUND

Currently, the relationship between insulin therapy and COVID-19 outcome is not yet established. Our study aims to evaluate the possible association between insulin and the poor composite development of COVID-19.

METHODS

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until December 12th, 2020. All articles published on COVID-19 and insulin were retrieved. Statistical analysis was done using Review Manager 5.4 and Comprehensive Meta-Analysis version 3 software.

RESULTS

Our pooled analysis showed that insulin use was associated with poor composite development of COVID-19 [OR 2.06 (95% CI 1.70 - 2.48), p < 0.00001, I2 = 83%, random-effect modelling], and its subgroup which comprised of risk of COVID-19 [OR 1.70 (95% CI 1.40 - 2.08), p < 0.00001, I2 = 34%, random-effect modelling], severe COVID-19 [OR 2.30 (95% CI 1.60 - 3.30), p < 0.00001, I2 = 88%, random-effect modelling], and mortality [OR 2.14 (95% CI 1.47 - 3.10), p < 0.0001, I2 = 85%, random-effect modelling]. Meta-regression showed that the association was influenced by age (p = 0.008), but not by diabetes (p = 0.423), and cardiovascular disease (p = 0.086).

CONCLUSION

Physicians should be more aware and take extra precautions with diabetes patients who use insulin therapy.

Association of anemia and COVID-19 in hospitalized patients

Aim: COVID-19 is a major threat to public health worldwide. A large proportion of COVID-19 patients is proved to develop anemia. Herein, we investigate the association between anemia and severe pneumonia. Materials & methods: 137 of COVID-19-confirmed patients admitted to Wuhan Union Hospital (Wuhan, China) from 13 February to 17 March 2020 were included. Their clinical characteristics and laboratory data were studied, and multivariable logistic regression analyses were performed. Results: The anemic patients were less likely to develop fever in the early stage of COVID-19. Elevated IL-6 levels were found in anemic COVID-19 patients compared with those without anemia. COVID-19 patients with anemia had an 8.2 times greater possibility of developing severe pneumonia compared with their counterparts without anemia. Conclusion: This study comprehensively describes the clinical characteristics of anemic patients with ordinary, severe and critical COVID-19 and demonstrates the close relationship between the anemia and severe COVID-19.

Computed tomography at every step: Long coronavirus disease

Background

Some patients continue to experience symptoms related to Coronavirus disease (COVID-19) after the acute phase of infection. Imaging studies, especially computed tomography (CT) of the chest, have gained importance since the beginning of the pandemic. CT can help diagnose COVID-19, assess the extent of pulmonary involvement, and predict the disease severity. We aimed to define the frequency of persistent symptoms and correlate their presence with the results of laboratory findings and the severity of the disease based on the findings of chest CT.

Methods

We examined patients discharged from the hospital after treatment for COVID-19 and whose nasopharyngeal swab sample tested positive for severe acute respiratory syndrome coronavirus 2 after at least 4 weeks from the initial diagnosis. The patients were asked about the presence of persisting symptoms. In addition to the demographic data, laboratory results and severity levels seen on the chest CT were recorded.

Results

In all, 116 patients were included in the study, of which 61 reported at least one persisting symptom (52.5%). The mean age of the study population was 48.90 ± 17.74 years. The persistent symptoms included shortness of breath, chest pain, cough, muscle weakness, dizziness, headache, fatigue, and palpitations. The mean CT severity score was 3.80 ± 0.38 and it was lower in patients without any persistent symptoms.

Conclusions

Levels of C-reactive protein and fibrinogen, anemia, and female sex were associated with some of the persistent symptoms., the severity of the disease seen on CT was a successful predictor for the disease severity/prognosis and was also correlated with prolonged COVID infection and more persistent symptoms.

Widespread Parenchymal Abnormalities and Pulmonary Embolism on Contrast-Enhanced CT Predict Disease Severity and Mortality in Hospitalized COVID-19 Patients

Purpose: Severe COVID-19 is associated with inflammation, thromboembolic disease, and high mortality. We studied factors associated with fatal outcomes in consecutive COVID-19 patients examined by computed tomography pulmonary angiogram (CTPA).

Methods: This retrospective, single-center cohort analysis included 130 PCR-positive patients hospitalized for COVID-19 [35 women and 95 men, median age 57 years (interquartile range 51–64)] with suspected pulmonary embolism based on clinical suspicion. The presence and extent of embolism and parenchymal abnormalities on CTPA were recorded. The severity of pulmonary parenchymal involvement was stratified by two experienced radiologists into two groups: lesions affecting ≤50% or >50% of the parenchyma. Patient characteristics, radiological aspects, laboratory parameters, and 60-day mortality data were collected.

Results: Pulmonary embolism was present in 26% of the patients. Most emboli were small and peripheral. Patients with widespread parenchymal abnormalities, with or without pulmonary embolism, had increased main pulmonary artery diameter (p < 0.05) and higher C-reactive protein (p < 0.01), D-dimer (p < 0.01), and troponin T (p < 0.001) and lower hemoglobin (p < 0.001). A wider main pulmonary artery diameter correlated positively with C-reactive protein (r = 0.28, p = 0.001, and n = 130) and procalcitonin. In a multivariant analysis, D-dimer >7.2 mg/L [odds ratio (±95% confidence interval) 4.1 (1.4–12.0)] and ICU stay were significantly associated with embolism (p < 0.001). The highest 60-day mortality was found in patients with widespread parenchymal abnormalities combined with pulmonary embolism (36%), followed by patients with widespread parenchymal abnormalities without pulmonary embolism (26%). In multivariate analysis, high troponin T, D-dimer, and plasma creatinine and widespread parenchymal abnormalities on CT were associated with 60-day mortality.

Conclusions: Pulmonary embolism combined with widespread parenchymal abnormalities contributed to mortality risk in COVID-19. Elevated C-reactive protein, D-dimer, troponin-T, P-creatinine, and enlarged pulmonary artery were associated with a worse outcome and may mirror a more severe systemic disease. A liberal approach to radiological investigation should be recommended at clinical deterioration, when the situation allows it. Computed tomography imaging, even without intravenous contrast to assess the severity of pulmonary infiltrates, are of value to predict outcome in COVID-19. Better radiological techniques with higher resolution could potentially improve the detection of microthromboses. This could influence anticoagulant treatment strategies, preventing clinical detoriation.

COVID-19 and aging: Identifying measures of severity

INTRODUCTION

We aimed to compare clinical features of older age group and young and middle-aged patients with COVID-19 and analyze mortality predictors.

METHODS

Retrospective analysis of ongoing collection of prespecified data, on a single institution, including patients hospitalized consecutively due to COVID-19 infection, from March to June 2020.

RESULTS

Of 195 patients, 56.9% were ⩾65 years (older age group). Older age group had multimorbidity (p < 0.001). At admission Early Warning Score-2 (p < 0.001), C-reactive protein, D-dimer, creatinine, anemia and lymphopenia were higher in older age group, as well as median time of hospitalization (14 vs 10 days, p = 0.004). Complications were more common in older age group, but there were no significant differences in admission to intensive care. There were 18 deaths, 16 in older age group. Modified Early Warning Score at admission (odds ratio = 1.60, 95% confidence interval = 1.07-1.37, p = 0.021) and C-reactive protein >5 mg/dL (odds ratio = 2.12, 95% confidence interval = 1.13-26.26, p = 0.034) were independent predictors of inhospital mortality in older age group but not in young and middle-aged.

CONCLUSION

Older age group was at higher risk for complications and inhospital mortality. Identification of specific scores of severity for this population is essential to ensure that best care is provided.

Anemia during SARS-CoV-2 infection is associated with rehospitalization after viral clearance

Patients with COVID-19 can experience symptoms and complications after viral clearance. It is important to identify clinical features of patients who are likely to experience these prolonged effects. We conducted a retrospective study to compare longitudinal laboratory test measurements (hemoglobin, hematocrit, estimated glomerular filtration rate, serum creatinine, and blood urea nitrogen) in patients rehospitalized after PCR-confirmed SARS-CoV-2 clearance (n = 104) versus patients not rehospitalized after viral clearance (n = 278). Rehospitalized patients had lower median hemoglobin levels in the year prior to COVID-19 diagnosis (Cohen's D = -0.50; p = 1.2 × 10^-3) and during their active SARS-CoV-2 infection (Cohen's D = -0.71; p = 4.6 × 10^-8). Rehospitalized patients were also more likely to be diagnosed with moderate or severe anemia during their active infection (Odds Ratio = 4.07; p = 4.99 × 10^-9). These findings suggest that anemia-related laboratory tests should be considered in risk stratification algorithms for patients with COVID-19.

Statin and outcomes of coronavirus disease 2019 (COVID-19): A systematic review, meta-analysis, and meta-regression

AIMS

One of the comorbidities associated with severe outcome and mortality of COVID-19 is dyslipidemia. Statin is one of the drugs which is most commonly used for the treatment of dyslipidemic patients. This study aims to analyze the association between statin use and composite poor outcomes of COVID-19.

DATA SYNTHESIS

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until November 25th, 2020. All articles published on COVID-19 and statin were retrieved. Statistical analysis was done using Review Manager 5.4 and Comprehensive Meta-Analysis 3 software.

RESULTS

A total of 35 studies with a total of 11, 930, 583 patients were included in our analysis. Our meta-analysis showed that statin use did not improve the composite poor outcomes of COVID-19 [OR 1.08 (95% CI 0.86-1.35), p = 0.50, I2 = 98%, random-effect modelling]. Meta-regression showed that the association with composite poor outcomes of COVID-19 was influenced by age (p = 0.010), gender (p = 0.045), and cardiovascular disease (p = 0.012). Subgroup analysis showed that the association was weaker in studies with median age ≥60 years-old (OR 0.94) compared to <60 years-old (OR 1.43), and in the prevalence of cardiovascular disease ≥25% (RR 0.94) compared to <25% (RR 1.24).

CONCLUSION

Statin use did not improve the composite poor outcomes of COVID-19. Patients with dyslipidemia should continue taking statin drugs despite COVID-19 infection status, given its beneficial effects on cardiovascular outcomes.

Colchicine treatment can improve outcomes of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis

Currently, there is no widely acceptable and proven effective treatment for coronavirus disease 2019 (COVID-19). Colchicine has been shown to offer a benefit in reducing the inflammation in several inflammatory diseases. This study aims to analyze the efficacy of colchicine administration and outcomes of COVID-19. We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until January 29, 2021. All articles published on COVID-19 and colchicine treatment were retrieved. The quality of the study was assessed using the Newcastle-Ottawa Scale (NOS) tool for observational studies and Revised Cochrane risk-of-bias tool for randomized trials (RoB 2) for clinical trial studies. Statistical analysis was done using Review Manager 5.4 software. A total of eight studies with 5778 COVID-19 patients were included in this meta-analysis. This meta-analysis showed that the administration of colchicine was associated with improvement of outcomes of COVID-19 [OR 0.43 (95% CI 0.34-0.55), p < 0.00001, I2  = 0%, fixed-effect modelling] and its subgroup which comprised of reduction from severe COVID-19 [OR 0.44 (95% CI 0.31-0.63), p < 0.00001, I2  = 0%, fixed-effect modelling] and reduction of mortality rate from COVID-19 [OR 0.43 (95% CI 0.32-0.58), p < 0.00001, I2  = 0%, fixed-effect modelling]. Our study suggests the routine use of colchicine for treatment modalities of COVID-19 patients. More randomized clinical trial studies are still needed to confirm the results from this study.

Prognostic biomarkers in COVID-19 infection: value of anemia, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and D-dimer

Background

Being highly infectious disease, COVID-19 exhausts most of efficient healthcare systems worldwide. Simple and rapid risk stratification methods are mandatory to recognize severe patients. This study aims to highlight the simple available laboratory biomarkers of good predictive value for COVID-19 severity.

Results

Three hundred fifty-one COVID-19 positive patients admitted to two University Hospitals between the 1st of June and the 31st of July 2020 were retrospectively collected and classified to severe and non-severe COVID-19 patients according to need for ICU admission. All basic laboratory biomarkers at time of admission were recorded. Of included patients, 145 (41.3%) needed ICU admission. Anemia, leukocytosis, lymphopenia, NLR, and PLR together with liver enzymes, INR, ferritin, CRP, and D-dimer were significantly higher in patients needed ICU admission (p < 0.001). However, by applying multivariate logistic regression, only anemia, high NLR, high PLR, and high D-dimer levels showed significant risk for ICU admission with OR equal 3.6 (95% CI 1.8–7.0), 9.0 (95% CI 3.6–22.6), 3.0 (95% CI 1.3–7.1), and 2.5 (95% CI 1.3–4.7), respectively.

Conclusion

Anemia, increased neutrophil-to-lymphocyte ratio (> 8), platelet-to-lymphocyte ratio (> 192), and D-dimer level (> 0.9 mg\L) at time of admission could be simple available predictors for severe COVID-19 infection requiring ICU admission.

Efficacy and Safety of Tocilizumab for Coronavirus Disease 2019 (Covid-19) Patients: A Systematic Review and Meta-analysis

BACKGROUND

Currently, the data regarding the effectiveness and safety of tocilizumab as treatment for COVID-19 infection is still conflicting. This study aims to give clear evidence regarding the potential benefit and safety of tocilizumab in improving the outcome of COVID-19 patients.

METHODS

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until November 1^st, 2020. All articles published on COVID-19 and tocilizumab were retrieved. Statistical analysis was done using Review Manager 5.4 software.

RESULTS

A total of 38 studies with a total of 13 412 COVID-19 patients were included in our analysis. Our meta-analysis showed that tocilizumab treatment is associated with reduction of mortality rate from COVID-19 [OR 0.54 (95% CI 0.42-0.71), p<0.00001, I ²=79%, random-effect modelling], but did not alter the severity of COVID-19 [OR 1.05 (95% CI 0.92-1.20), p=0.47, I ²=84%, random-effect modelling] and length of hospital stay [Mean Difference 1.77 days (95% CI -0.61-4.14 days), p=0.15, I ²=97%, random-effect modelling]. Tocilizumab also does not associated with serious adverse events compared with standard of care treatment [OR 0.91 (95% CI 0.71-1.15), p=0.42, I ²=46%, random-effect modelling].

CONCLUSION

Our study does not support the routine use of tocilizumab for COVID-19 patients. Future studies should focus more on other potential therapies for COVID-19 patients.

Parkinson's disease may worsen outcomes from coronavirus disease 2019 (COVID-19) pneumonia in hospitalized patients: A systematic review, meta-analysis, and meta-regression

Background

Parkinson's Disease (PD) is among one of the common comorbidities in older patients. People with PD may be more vulnerable to severe pneumonia, due to the impairment of pulmonary function. Currently, the association between PD and COVID-19 is not yet established. This study aims to analyze the relationship between PD and in-hospital outcomes of COVID-19.

Materials and methods

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until December 25th, 2020. All articles published on COVID-19 and Parkinson's Disease were retrieved. The quality of the study was assessed using the Newcastle Ottawa Scale (NOS) tool for observational studies and Joanna Briggs Institute (JBI) Critical Appraisal Tools for cross-sectional studies. Statistical analysis was done using Review Manager 5.4 software.

Results

A total of 12 studies with 103,874 COVID-19 patients were included in this meta-analysis. This meta-analysis showed that Parkinson's Disease was associated with poor in-hospital outcomes [[OR 2.64 (95% CI 1.75–3.99), p < 0.00001, I² = 81%] and its subgroup which comprised of severe COVID-19 [OR 2.61 (95% CI 1.98–3.43), p < 0.00001, I² = 0%] and mortality from COVID-19 [RR 2.63 (95% CI 1.50–4.60), p = 0.0007, I² = 91%]. Meta-regression showed that the association was influenced by age (p = 0.05), but not by gender (p = 0.46) and dementia (p = 0.23).

Conclusions

Extra care and close monitoring should be provided to Parkinson's Disease patients to minimize the risk of infections, preventing the development of severe and mortality outcomes.

Human immunodeficiency virus and mortality from coronavirus disease 2019: A systematic review and meta-analysis

Background

Persons living with human immunodeficiency virus (PLWH) constitute a vulnerable population in view of their impaired immune status. At this time, the full interaction between HIV and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been incompletely described.

Objective

The purpose of this study was to explore the impact of HIV and SARS-CoV-2 co-infection on mortality.

Method

We systematically searched PubMed and the Europe PMC databases up to 19 January 2021, using specific keywords related to our aims. All published articles on coronavirus disease 2019 (COVID-19) and HIV were retrieved. The quality of the studies was evaluated using the Newcastle–Ottawa Scale for observational studies. Statistical analysis was performed with Review Manager version 5.4 and Comprehensive Meta-Analysis version 3 software.

Results

A total of 28 studies including 18 255 040 COVID-19 patients were assessed in this meta-analysis. Overall, HIV was associated with a higher mortality from COVID-19 on random-effects modelling {odds ratio [OR] = 1.19 [95% confidence interval (CI) = 1.01–1.39], p = 0.03; I² = 72%}. Meta-regression confirmed that this association was not influenced by age (p = 0.208), CD4 cell count (p = 0.353) or the presence of antiretroviral therapy (ART) (p = 0.647). Further subgroup analysis indicated that the association was only statistically significant in studies from Africa (OR = 1.13, p = 0.004) and the United States (OR = 1.30, p = 0.006).

Conclusion

Whilst all persons ought to receive a SARS-CoV-2 vaccine, PLWH should be prioritised to minimise the risk of death because of COVID-19. The presence of HIV should be regarded as an important risk factor for future risk stratification of COVID-19.

Obstructive sleep apnea (OSA) and outcomes from coronavirus disease 2019 (COVID-19) pneumonia: a systematic review and meta-analysis

Background

Obstructive sleep apnea (OSA) is the most prevalent sleep-related breathing disorder which could impair someone's quality of life and is also associated with poor outcomes from many diseases. Currently, the evidence regarding the link between OSA and coronavirus disease 2019 (COVID-19) is still conflicting. This study aims to analyze the relationship between OSA and poor outcomes of COVID-19.

Materials and methods

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until December 10th, 2020. All articles published on COVID-19 and OSA were retrieved. The quality of the study was assessed using the Newcastle–Ottawa Scale (NOS) tool for observational studies. Statistical analysis was done using Review Manager 5.4 software.

Results

A total of 21 studies with 54,276 COVID-19 patients were included in this meta-analysis. This meta-analysis showed that OSA was associated with composite poor outcome [OR 1.72 (95% CI 1.55–1.91), p < 0.00001, I² = 36%, random-effect modeling] and its subgroup which comprised of severe COVID-19 [OR 1.70 (95% CI 1.18–2.45), p = 0.005], ICU admissions [OR 1.76 (95% CI 1.51–2.05), p < 0.00001], the need for mechanical ventilation [OR 1.67 (95% CI 1.48–1.88), p < 0.00001], and mortality [OR 1.74 (95% CI 1.39–2.19), p < 0.00001].

Conclusions

Extra care and close monitoring should be provided to patients with OSA to minimize the risk of infections. Simple questionnaires such as STOP-Bang questionnaire can be used for screening patients who may be at risk for severe adverse outcomes.

Dipeptidyl peptidase 4 (DPP4) inhibitor and outcome from coronavirus disease 2019 (COVID-19) in diabetic patients: a systematic review, meta-analysis, and meta-regression

Background

One of the drugs which is commonly used in diabetic patients is Dipeptidyl Peptidase-4 (DPP-4) inhibitor. Currently, the association between DPP-4 inhibitor and coronavirus disease 2019 (COVID-19) outcome is not yet established. This study aims to analyze the potential association between DPP-4 inhibitor and the composite poor outcome of COVID-19.

Methods

We systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until November 29th, 2020. All articles published on COVID-19 and DPP-4 inhibitor were retrieved. Statistical analysis was done using Review Manager 5.4 and Comprehensive Meta-Analysis version 3 software.

Results

Our pooled analysis showed that DPP-4 inhibitor use was not associated with composite poor outcomes of COVID-19 [OR 1.09 (95% CI 0.93–1.28), p = 0.29, I² = 0%, random-effect modelling], and its subgroup which comprised of severe COVID-19 [OR 1.07 (95% CI 0.87–1.31), p = 0.54, I² = 0%, random-effect modelling], and mortality [OR 1.14 (95% CI 0.87–1.51), p = 0.35, I² = 8%, random-effect modelling]. Meta-regression showed that the association was not influenced by age (p = 0.663), hypertension (p = 0.454), and admission blood glucose (p = 0.310). Subgroup analysis showed that the association was weaker in East Asian populations (OR 1.02) compared to European populations (OR 1.11).

Conclusion

DPP-4 inhibitor in diabetic patients did not alter the outcomes from COVID-19. Our study suggest that the use of DPP-4 inhibitor in COVID-19 patients with diabetes may still be continued according to the patients’ need.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-021-00777-4.