COVID-19 in hematopoietic cell transplant recipients.

In this study, we aim to report the outcome of COVID-19 in hematopoietic cell transplant (HCT) recipients. HCT recipients (n = 32) with hematological disease and hospitalized for COVID-19 were included in the study. A cohort of age and comorbid disease-matched hospitalized COVID-19 patients with hematological malignancy but not underwent HCT (n = 465), and another cohort of age and comorbid disease-matched hospitalized COVID-19 patients without cancer (n = 497) were also included in the study for comparison. Case fatality rate (CFR) was 5.6% in patients without cancer, 11.8 in patients with hematological malignancy and 15.6% in HCT recipients. The CFR in HCT recipients who were not receiving immunosuppressive agents at the time of COVID-19 diagnosis was 11.5%, whereas it was 33% in HCT recipients who were receiving an immunosuppressive agent at the time of COVID-19 diagnosis. In conclusion, our study reveals that for the current pandemic, HCT recipients, especially those receiving immunosuppressive drugs, constitute a special population of cancer patients.

The Clinical Characteristics and Outcomes of COVID-19 Patients with Pre-Existing Thyroid Dysfunction: A Nationwide Study.

To which extent the pre-existing hypothyroidism or hyperthyroidism has an impact on coronavirus infection 2019 (COVID-19) outcomes remains unclear. The objective of this study was to evaluate COVID-19 morbidity and mortality in patients with pre-existing thyroid dysfunction. A retrospective cohort of patients with a polymerase chain reaction (PCR)-confirmed COVID-19 infection (n=14,966) from March 11 to May 30, 2020 was established using the database of the Turkish Ministry of Health. We compared the morbidity and mortality rates of COVID-19 patients with pre-existing hypothyroidism (n=8813) and hyperthyroidism (n=1822) to those patients with normal thyroid function (n=4331). Univariate and multivariate regression analyses were performed to identify the factors associated with mortality. Mortality rates were higher in patients with hyperthyroidism (7.7%) and hypothyroidism (4.4%) than those with normal thyroid function (3.4%) (p<0.001 and p=0.008, respectively). Pre-existing hyperthyroidism was significantly associated with an increased risk of mortality (OR 1.54; 95% CI, 1.02-2.33; p=0.042) along with advanced age, male gender, lymphopenia and chronic kidney disease (p<0.001 for all). Although a potential trend was noted, the association between pre-existing hypothyroidism and mortality was not significant (OR 1.36; 95% CI, 0.99-1.86; p=0.055). In conclusion, this study showed an association between pre-existing hyperthyroidism with higher COVID-19 mortality. A potential trend towards increased mortality was also observed for hypothyroidism. The risk was more pronounced in patients with hyperthyroidism.

The effect of hypertension and antihypertensive therapies on the course of COVID-19 infection: Turkish national health system data.

AIM: The effect of hypertension (HT) and antihypertensive therapies such as renin-angiotensin-aldosterone system (RAAS) blockers on the disease course in COVID-19 patients is controversial. The purpose of this study was to evaluate the effect of HT and antihypertensive therapies on the course of COVID-19 disease. METHOD: The age, sex, comorbid diseases, and antihypertensive therapies of 132,790 patients with positive COVID-19 real-time transcriptase polymerase chain reaction (RT-PCR) tests in the Turkish Health Ministry National COVID-19 database between 11 March and 31 May 2020, were examined and analyzed. RESULTS: Forty-one percent of the 132,790 patients in this study (median age: 40, 47.3% female) were hospitalized for treatment, and 4.5% were followed-up in the intensive care unit (ICU). The most frequent comorbid disease, at 19.5%, was HT (n = 25,863). Mortality was determined in 4.9% of HT patients and 1.9% of non-HT patients (p < .001). HT, age, and male gender emerged as independent predictors of hospitalization and admission to the ICU, while HT was not a predictor of mortality. In addition, no adverse effect of any antihypertensive treatment, including RAAS inhibitors, on mortality was detected. CONCLUSION: Based on Turkish national data, HT is common in COVID-19 patients, but does not appear to be an independent predictor of mortality, and no adverse effect of RAAS inhibitors on COVID-19-related mortality was observed.

Higher rate of COVID-19 mortality in patients with type 1 than type 2 diabetes: a nationwide study.

INTRODUCTION: COVID-19 disease has a worse prognosis in patients with diabetes, but comparative data about the course of COVID-19 in patients with type 1 (T1DM) and type 2 diabetes (T2DM) are lacking. The purpose of this study was to find out the relative clinical severity and mortality of COVID-19 patients with T1DM and T2DM. MATERIAL AND METHODS: A nationwide retrospective cohort of patients with confirmed (PCR positive) COVID-19 infection (n = 149,671) was investigated. After exclusion of individuals with unspecified diabetes status, the adverse outcomes between patients with T1DM (n = 163), T2DM (n = 33,478) and those without diabetes (n = 115,108) were compared by using the propensity score matching method. The outcomes were hospitalization, the composite of intensive care unit (ICU) admission and/or mechanical ventilation, and mortality. RESULTS: The patients with T1DM had higher mortality than the age- and gender-matched patients with T2DM (n = 489) and those without diabetes (n = 489) (p < 0.001). After further adjustment for the HbA1c, and microvascular and macrovascular complications, the odds of mortality (OR: 3.35, 95% CI: 1.41-7.96, p = 0.006) and ICU admission and/or mechanical ventilation (OR: 2.95, 95% CI: 1.28-6.77, p = 0.011) were significantly higher in patients with T1DM compared to those with T2DM. Older age (OR: 1.06, 95% CI: 1.01-1.12, p = 0.028) and lymphopaenia (OR: 5.13, 95% CI: 1.04-25.5, p = 0.045) were independently associated with mortality in patients with T1DM. CONCLUSIONS: Patients with T1DM had worse prognosis of COVID-19 compared to T2DM patients or those without diabetes. These cases should be cared for diligently until more data become available about the causes of increased COVID-19 mortality in T1DM.

No association of Gaucher disease with COVID-19-related outcomes: a nationwide cohort study.

BACKGROUND: It is well documented that patients with chronic metabolic diseases, such as diabetes and obesity, are adversely affected by the COVID-19 pandemic. However, when the subject is rare metabolic diseases, there are not enough data in the literature. AIM: To investigate the course of COVID-19 among patients with Gaucher disease (GD), the most common lysosomal storage disease. METHODS: Based on the National Health System data, a retrospective cohort of patients with confirmed (polymerase chain reactionpositive) COVID-19 infection (n = 149 618) was investigated. The adverse outcomes between patients with GD (n = 39) and those without GD (n = 149 579) were compared with crude and propensity score-matched (PSM) groups. The outcomes were hospitalisation, the composite of intensive care unit (ICU) admission and/or mechanical ventilation and mortality. RESULTS: The patients with GD were significantly older and had a higher frequency of hypertension (HT), Type 2 diabetes mellitus (T2DM), dyslipidaemia, asthma or chronic obstructive pulmonary disease, chronic kidney disease, coronary artery disease, heart failure and cancer. Although hospitalisation rates in Gaucher patients were found to be higher in crude analyses, the PSM models (model 1, age and gender matched; model 2, matched for age, gender, HT, T2DM and cancer) revealed no difference for the outcomes between patients with GD and the general population. According to multivariate regression analyses, having a diagnosis of GD was not a significant predictor for hospitalisation (P = 0.241), ICU admission/mechanical ventilation (P = 0.403) or mortality (P = 0.231). CONCLUSION: According to our national data, SARS-CoV-2 infection in patients with GD does not have a more severe course than the normal population.

Lower COVID-19 Mortality in Patients with Type 2 Diabetes Mellitus Taking Dipeptidyl Peptidase-4 Inhibitors: Results from a Turkish Nationwide Study.

INTRODUCTION: To investigate the effect of preexisting treatment with dipeptidyl peptidase-4 inhibitors (DPP-4is) on COVID-19-related hospitalization and mortality in patients with type 2 diabetes mellitus (T2DM). METHODS: A multicenter, retrospective cohort study was conducted using patient data extracted from the Turkish National Electronic Database. All patients who tested positive for COVID-19 (PCR test) between 11 March through to 30 May 2020 were screened for eligibility (n = 149,671). Following exclusion of patients based on pre-determined inclusion criteria, patients with T2DM using a DPP-4i or glucose-lowering medications other than a DPP-4i were compared for mortality and hospitalization. The propensity score method was used to match age, gender, micro- and macrovascular complications, and medications in the two groups. Independent associates of mortality were analyzed using multivariable analysis on the whole T2DM population. RESULTS: A total of 33,478 patients with T2DM who tested postive for COVID-19 who met the inclusion criteria were included in the analysis. Median (interquartile range) age was 54 (22) years and 42.4% were male. Of these, 9100 patients using DPP-4is (n = 4550) or other glucose-lowering drugs (n = 4550) were matched in two groups. After matching, analysis revealed a lower mortality in the DPP-4i group (9.5 vs. 11.8%; p < 0.001). In the multivariable model, the use of DPP-4is (odds ratio [OR] 0.57, 95% confidence interval [CI] 0.35-0.91; p = 0.02) was associated with lower mortality in the whole sample, while age, male gender, computed tomography finding of COVID-19, obesity, low glomerular filtration rate, and an insulin-based regimen also predicted increased risk of death. There was no association between the preexisting treatment with DPP-4is and COVID-19-related hospitalization in the matched analysis or multivariate model. The rate of admission to the intensive care unit and/or mechanical ventilation favored the DPP-4i group (21.7 vs. 25.2%; p = 0.001), although this association became saturated in the multivariate analysis (OR 0.65, 95% CI 0.39-1.08; p = 0.099). CONCLUSIONS: The results of this study demonstrate an association between DDP-4i use and reduced mortality in people with T2DM who tested PCR positive for COVID-19.

Clinical Characteristics and Outcomes of COVID-19 Patients with Overweight and Obesity: Turkish Nationwide Cohort Study (TurCObesity).

PURPOSE: While obesity is related to more severe outcomes of coronavirus disease 2019 (COVID-19), factors leading to poor prognosis still remain unclear. The present study evaluated the outcomes of COVID-19 patients who were overweight or obese and variables associated with severe disease in a large group of consecutive cases. METHODS: A nationwide retrospective cohort study was performed using the Turkish National Healthcare Database. Demographic characteristics, laboratory tests, comorbidities, and medications of patients registered between March 11 and May 30, 2020, were recorded. RESULTS: A total of 14, 625 patients (median age:42, IQR:26 years; female 57.4%) with normal weight (34.7%), overweight (35.6%), and obesity (29.7%) were included. Hospitalization, ICU admission, intubation/mechanical ventilation, pulmonary involvement, and mortality were significantly higher in patients who were overweight or obese. In adjusted analyses, both overweight (OR, 95% CI: 1.82, 1.04-3.21; p=0.037) and obesity (OR, 95% CI: 2.69, 1.02-1.05; p<0.001) were associated with a higher intubation/mechanical ventilation rate but only obesity was associated with increased mortality (OR, 95% CI: 2.56, 1.40-4.67; p=0.002). Old age, male gender, chronic kidney disease, and high C reactive protein levels were independently associated with COVID-19 mortality in overweight or obese patients. CONCLUSIONS: COVID-19 patients who were overweight or obese were more likely to have adverse outcomes but only obesity was a predictor of mortality. Such patients should receive urgent medical attention and active management, especially the elderly, men, and people with chronic kidney disease.

Evaluation of the effects of the COVID-19 pandemic on dentistry.

OBJECTIVES: The aim of this study is to evaluate dentists' working conditions and the policies implemented for dentistry during the COVID-19 pandemic. In addition, effects of working in private practice or governmental practice in terms of pandemic are also evaluated in the manuscript. METHODS: A questionnaire was prepared to elicit dentists' working conditions during the pandemic and analyze and evaluate the policies implemented for dentistry. The questionnaires were sent to the dentists registered in the Turkish Dental Association (TDA) via e-mail, and collected between September 30, 2020, and October 20, 2020. Descriptive statistical methods, validity and reliability analysis, and regression analysis were applied for data analysis. RESULTS: Seven hundred thirty-four dentists registered in the Turkish Dental Association took part in the study. 47% of respondents examined five or fewer patients per day during the pandemic. Dentists working in private practice examine more patients per day during the pandemic. 80.8% of the respondents experienced anxiety while examining patients during the pandemic. While the dentist's anxiety level increased with increasing the number of patients examined per day (ß: 0.399), it decreased with increasing the dentist's age (ß: -0.065). Respondents were not satisfied with the pandemic's management, with the decisions taken regarding dentistry, and with the supports provided to the dentists. 85.8% of the respondents were concerned about their professional future, which is higher among dentists who work in governmental practice (p < 0.05, ANOVA). CONCLUSIONS: Increasing dentists' representation in the management of the pandemic and the future policy-making process, taking steps for the future by creating planning processes will eliminate the uncertainties and dissatisfaction and ensure to be ready for new pandemics.

Clinical outcomes of non-diabetic COVID-19 patients with different blood glucose levels: a nationwide Turkish study (TurCoGlycemia).

PURPOSE: New coronavirus disease 2019 (COVID-19) has a worse prognosis in patients with diabetes. However, there are insufficient data about the effect of hyperglycemia on COVID-19 prognosis in non-diabetic patients. This study aimed to investigate the relationship between random blood glucose levels measured at the time of diagnosis and prognosis of COVID-19 disease in non-diabetic patients. METHODS: A nationwide retrospective cohort of non-diabetic patients with confirmed COVID-19 infection from 11 March to 30 May 2020 in the Turkish Ministry of Health database was investigated. The patients were stratified into three groups according to blood glucose levels which were <100 mg/dL in group-1, in the range of 100-139 mg/dl in group-2, and the range of 140-199 mg/dl in group-3. Clinical characteristics and outcomes were compared among the groups. The primary outcome was mortality. RESULTS: A total of 12,817 non-diabetic patients (median age [IQR]: 44 [25] years, females: 50.9%) were included. Patients in group-2 (5%) and group-3 (14%) had higher mortality rates than patients in group-1 (2.1%). The rates of hospitalization, hospital stays longer than 8 days, intensive care unit (ICU) admission, ICU stay more than 6 days, and mechanical ventilation were also significantly higher in group-3 patients. Likewise, glucose levels in the range of 140-199 mg/dL were an independent associate of mortality and composite of ICU admission and/or mechanical ventilation. CONCLUSION: Hyperglycemia at the time of COVID-19 diagnosis is associated with poor prognosis in non-diabetic patients. Clinicians should be more careful in the treatment of non-diabetic COVID-19 patients with hyperglycemia.

Patients with hematologic cancers are more vulnerable to COVID-19 compared to patients with solid cancers.

Previous studies reported that COVID-19 patients with cancer had higher rates of severe events such as intensive care unit (ICU) admission, mechanical ventilation (MV) assistance, and death during the COVID-19 course compared to the general population. However, no randomized study compared the clinical course of COVID-19 in patients with hematologic cancers to patients with solid cancers. Thus, in this study, we intend to reveal the outcome of COVID-19 in hematologic cancer patients and compare their outcomes with COVID-19 patients with solid cancers. The data of 926 laboratory-confirmed COVID-19 patients, including 463 hematologic cancer patients and an age-gender paired cohort of 463 solid cancer patients, were investigated retrospectively. The frequencies of severe and critical disease, hospital and ICU admission, MV assistance were significantly higher in hematologic cancer patients compared with the solid cancer patients (p = 0.001, p = 0.045, p = 0.001, and p = 0.001, respectively). The hospital stay was longer in patients with hematologic cancers (p = 0.001); however, the median ICU stay was 6 days in both groups. The case fatality rate (CFR) was 14.9% in patients with hematologic cancers, and it was 4.8% in patients with solid cancers, and there was a statistically significant difference regarding CFR between groups (p = 0.001). Our study revealed that COVID-19 patients with hematologic cancers have a more aggressive course of COVID-19 and have higher CFR compared to COVID-19 patients with solid cancers and support the increased susceptibility of patients with hematologic cancers during the outbreak.

Convalescent plasma therapy in patients with COVID-19.

INTRODUCTION: Passive antibody therapy has been used to immunize vulnerable people against infectious agents. In this study, we aim to investigate the efficacy of convalescent plasma (CP) in the treatment of severe and critically ill patients diagnosed with COVID-19. METHOD: The data of severe or critically ill COVID-19 patients who received anti-SARS-CoV-2 antibody-containing CP along with the antiviral treatment (n = 888) and an age-gender, comorbidity, and other COVID-19 treatments matched severe or critically ill COVID-19 patients at 1:1 ratio (n = 888) were analyzed retrospectively. RESULTS: Duration in the intensive care unit (ICU), the rate of mechanical ventilation (MV) support and vasopressor support were lower in CP group compared with the control group (p = 0.001, p = 0.02, p = 0.001, respectively). The case fatality rate (CFR) was 24.7 % in the CP group, and it was 27.7 % in the control group. Administration of CP 20 days after the COVID-19 diagnosis or COVID-19 related symptoms were associated with a higher rate of MV support compared with the first 3 interval groups (≤5 days, 6-10 days, 11-15 days) (p=0.001). CONCLUSION: CP therapy seems to be effective for a better course of COVID-19 in severe and critically ill patients.

COVID-19 clinical course and blood groups: Turkish population-based study

Background/aim: SARS-CoV-2 enters the cell through the binding of the S glycoprotein on the surface of the virus to the angiotensin- converting enzyme 2 (ACE-2) in the host cells and also SARS-CoV S protein binding to ACE-2 was inhibited by anti-A antibodies. The aim of the study was to investigate the relationship between blood groups and the course of COVID-19 in Turkey. Materials and methods: Laboratory confirmed COVID-19 patients aged 18 and over (n = 39.850) were randomized in age and sex- matched groups according to blood groups. Results: Advanced age, male sex and blood group A were found to be related with increased rate of intensive care unit (ICU) admission (OR = 1.089, 95% CI: 1.085­1.093 for age; OR = 1.963, 95% CI: 1.737­2.218 for male sex; OR = 1.216, 95% CI: 1.023­1.446 for blood group A). When blood group O individuals were compared to non-O individuals, no significant difference was observed regarding the rate of hospital and ICU admission, mechanical ventilation (MV) support, length of hospital and ICU stay, and case fatality rate (CFR). The CFR in patients with blood group A, B, O, and AB were 2.6%, 2.2%, 3.1%, and 2.3%, respectively. There were no significant differences between Rh-negative and positive patients regarding the rate of hospital and ICU admission (p = 0.280 and p = 0.741, respectively), also the rate of MV support and CFR was similar (p = 0.933 and p = 0.417). Conclusion: Our study revealed that ABO and Rh blood groups do not have any impact on the rate of hospital admission, hospital and ICU stay, MV support, and CFR.

The outcome of COVID-19 in patients with hematological malignancy.

In this study, we aim to report the outcomes for COVID-19 in patients with hematological malignancy in Turkey. Data from laboratory-confirmed 188 897 COVID-19 patients diagnosed between 11 March 2020 and 22 June 2020 included in the Republic of Turkey, Ministry of Health database were analyzed retrospectively. All COVID-19 patients with hematological malignancy (n = 740) were included in the study and an age, sex, and comorbidity-matched cohort of COVID-19 patients without cancer (n = 740) at a 1:1 ratio was used for comparison. Non-Hodgkin lymphoma (30.1%), myelodysplastic syndrome (19.7%), myeloproliferative neoplasm (15.7%) were the most common hematological malignancies. The rates of severe and critical disease were significantly higher in patients with hematological malignancy compared with patients without cancer (P = .001). The rates of hospital and intensive care unit (ICU) admission were higher in patients with hematological malignancy compared with the patients without cancer (P = .023, P = .001, respectively). The length of hospital stay and ICU stay was similar between groups (P = .7, P = .3, retrospectively). The rate of mechanical ventilation (MV) support was higher in patients with hematological malignancy compared with the control group (P = .001). The case fatality rate was 13.8% in patients with hematological malignancy, and it was 6.8% in the control group (P = .001). This study reveals that there is an increased risk of COVID-19-related serious events (ICU admission, MV support, or death) in patients with hematological malignancy compared with COVID-19 patients without cancer and confirms the high vulnerability of patients with hematological malignancy in the current pandemic.

Development and validation of clinical prediction model to estimate the probability of death in hospitalized patients with COVID-19: Insights from a nationwide database.

In the current study, we aimed to develop and validate a model, based on our nationwide centralized coronavirus disease 2019 (COVID-19) database for predicting death. We conducted an observational study (CORONATION-TR registry). All patients hospitalized with COVID-19 in Turkey between March 11 and June 22, 2020 were included. We developed the model and validated both temporal and geographical models. Model performances were assessed by area under the curve-receiver operating characteristic (AUC-ROC or c-index), R2 , and calibration plots. The study population comprised a total of 60,980 hospitalized COVID-19 patients. Of these patients, 7688 (13%) were transferred to intensive care unit, 4867 patients (8.0%) required mechanical ventilation, and 2682 patients (4.0%) died. Advanced age, increased levels of lactate dehydrogenase, C-reactive protein, neutrophil-lymphocyte ratio, creatinine, albumine, and D-dimer levels, and pneumonia on computed tomography, diabetes mellitus, and heart failure status at admission were found to be the strongest predictors of death at 30 days in the multivariable logistic regression model (area under the curve-receiver operating characteristic = 0.942; 95% confidence interval: 0.939-0.945; R2 = .457). There were also favorable temporal and geographic validations. We developed and validated the prediction model to identify in-hospital deaths in all hospitalized COVID-19 patients. Our model achieved reasonable performances in both temporal and geographic validations.

The clinical outcomes of COVID-19 infection in patients with a history of thyroid cancer: A nationwide study.

BACKGROUND: There are scarce published data in differentiated thyroid cancer patients about new coronavirus disease 2019 (COVID-19) disease outcomes and mortality. Here, we evaluated COVID-19 infection outcomes and mortality in thyroid cancer patients with COVID-19 infection. DESIGN AND METHODS: We included a cohort of patients with thyroid cancer with PCR-confirmed COVID-19 disease from 11 March to 30 May 2020 from the Turkish Ministry of Health database in our nationwide, retrospective study. We compared the mortality and morbidity of COVID patients with or without thyroid cancer. Univariate and multivariate analyses were used to assess the independent factors for mortality, length of hospital stay and intensive care unit (ICU) admission and mechanical ventilation. We also analysed the effect of radioiodine treatment on severity and death rate of COVID-19 disease. RESULTS: We evaluated 388 COVID-19 patients with thyroid cancer [median age: 54 years, interquartile range (IQR) 18 years, males: 23%] and age and gender-matched 388 COVID-19 patients without thyroid cancer. Patients with thyroid cancer had a similar mortality ratio compared with the non-cancer group. Among patients with thyroid cancer, age, presence of diabetes mellitus, asthma/COPD, heart failure, chronic kidney disease, prior coronary artery disease, RAS blocker usage and low lymphocyte count were associated with mortality. Radioactive iodine (RAI) treatment and cumulative radioactive iodine dosage did not negatively affect the severity and mortality of COVID-19 disease in our patient group. CONCLUSIONS: Our study indicated that history of thyroid cancer did not have an increased risk of mortality or morbidity in COVID-19 disease. Besides, RAI therapy history and doses of radioactive iodine did not affect mortality or outcome.

The prognostic role of cardiac troponin in hospitalized COVID-19 patients.

BACKGROUND AND AIMS: Myocardial injury defined by elevation of cardiac troponins (cTn) in the course of coronavirus disease 2019 (COVID-19) pandemic has been reported, though not fully characterized yet. Using the Turkish nationwide centralized COVID-19 database, we sought to determine whether cTn measured within 24 h of admission may help identify 30-day all-cause mortality in hospitalized patients. METHODS: This retrospective cohort study was conducted at all hospitals in Turkey between March 11, 2020, and June 22, 2020. All hospitalized COVID-19 patients (≥18 years) who had cTn measurements within 24 h of admission were included. The primary outcome was 30-day all-cause mortality. RESULTS: A total of 14,855 COVID-19 patients (median age 49 years and 54% male) from 81 provinces of Turkey were included. Of these, 2020 patients (13.6%) were transferred to intensive care unit, 1165 patients (7.8%) needed mechanical ventilation, and 882 patients (5.9%) died during hospitalization. The prevalence of cTn positivity was 6.9% (n = 1027) in the hospitalized patients. cTn positivity was 5% in those patients alive at 30-day, and 44% in those who died. In multivariable Cox proportional hazard regression model, age, lactate dehydrogenase, and cTn were the strongest predictors of 30-day mortality, irrespective of cTn definition as a continuous, ordinal variable, or dichotomic variables. CONCLUSIONS: A single measurement of cTn at admission in patients with COVID-19 is associated with 30-day all-cause mortality and may have an important prognostic role for optimizing risk stratification.

Cover Image, Volume 93, Number 5, May 2021

The cover image is based on the Research Article Development and validation of clinical prediction model to estimate the probability of death in hospitalized patients with COVID-19: Insights from a nationwide database by Ibrahim Halil Tanbo?a et al., https://doi.org/10.1002/jmv.26844.

Unexpectedly lower mortality rates in COVID-19 patients with and without type 2 diabetes in Istanbul.

AIMS: Type 2 diabetes mellitus (T2DM) is a risk factor for severe COVID-19. Our aim was to compare the clinical outcomes of patients with and without T2DM during the first hit of COVID-19 in Istanbul. METHODS: A retrospective population-based study was conducted including all consecutive adult symptomatic COVID-19 cases. Patients were confirmed with rt-PCR; treated and monitored in accordance with standard protocols. The primary endpoints were hospitalization and 30-day mortality. RESULTS: Of the 93,571 patients, 22.6% had T2DM, with older age and higher BMI. Propensity Score matched evaluation resulted in significantly higher rates of hospitalization (1.5-fold), 30-day mortality (1.6-fold), and pneumonia (1.4-fold). They revealed more severe laboratory deviations, comorbidities, and frequent drug usage than the Non-DM group. In T2DM age, pneumonia, hypertension, obesity, and insulin-based therapies were associated with an increased likelihood of hospitalization; whereas age, male gender, lymphopenia, obesity, and insulin treatment were considerably associated with higher odds of death. CONCLUSIONS: COVID-19 patients with T2DM had worse clinical outcomes with higher hospitalization and 30-day mortality rates than those without diabetes. Compared to most territories of the world, COVID-19 mortality was much lower in Istanbul, which may be associated with accessible healthcare provision and the younger structure of the population.