In-hospital mortality in SARS-CoV-2 stratified by gamma-glutamyl transferase levels.

BACKGROUND: This study investigates in-hospital mortality amongst patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its relation to serum levels of gamma-glutamyl transferase (GGT). METHODS: Patients were stratified according to serum levels of gamma-glutamyl transferase (GGT) (GGT<50 IU/L or GGT≥50 IU/L). RESULTS: A total of 802 participants were considered, amongst whom 486 had GGT<50 IU/L and a mean age of 48.1 (16.5) years, whilst 316 had GGT≥50 IU/L and a mean age of 53.8 (14.7) years. The chief sources of SARS-CoV-2 transmission were contact (366, 45.7%) and community (320, 40%). Most patients with GGT≥50 IU/L had either pneumonia (247, 78.2%) or acute respiratory distress syndrome (ARDS) (85, 26.9%), whilst those with GGT<50 IU/L had hypertension (141, 29%) or diabetes mellitus (DM) (147, 30.2%). Mortality was higher amongst patients with GGT≥50 IU/L (54, 17.1%) than amongst those with GGT<50 IU/L (29, 5.9%). More patients with GGT≥50 required high (83, 27.6%) or low (104, 34.6%) levels of oxygen, whereas most of those with GGT<50 had no requirement of oxygen (306, 71.2%). Multivariable logistic regression analysis indicated that GGT≥50 IU/L (odds ratio [OR]: 2.02, 95% confidence interval [CI]: 1.20-3.45, p=0.009), age (OR: 1.05, 95% CI: 1.03-1.07, p<0.001), hypertension (OR: 2.06, 95% CI: 1.19-3.63, p=0.011), methylprednisolone (OR: 2.96, 95% CI: 1.74-5.01, p<0.001) and fever (OR: 2.03, 95% CI: 1.15-3.68, p=0.016) were significant predictors of all-cause cumulative mortality. A Cox proportional hazards regression model (B = -0.68, SE =0.24, HR =0.51, p = 0.004) showed that patients with GGT<50 IU/L had a 0.51-times lower risk of all-cause cumulative mortality than patients with GGT≥50 IU/L. CONCLUSION: Higher levels of serum GGT were found to be an independent predictor of in-hospital mortality.

Risk Factors for Mortality in Patients with COVID-19: The Kuwait Experience.

OBJECTIVES: To describe the baseline characteristics and to evaluate the risk factors for in-hospital mortality in patients admitted to hospitals with coronavirus disease (COVID-19) in Kuwait. SUBJECTS AND METHODS: This retrospective cohort study analyzed data of patients admitted to two hospitals in Kuwait with COVID-19. The outcome was assessed by using multivariable analysis of factors affecting survival and mortality. RESULTS: In 962 patients, the case fatality ratio was 9.04%. The mean age of nonsurvivors was 63.5 ± 14.8 years, and most deaths occurred in males (80.5%). For the whole sample, the source of transmission was significantly related to mortality and the median duration of in-hospital stay was 15 days (interquartile range: 2-52 days). In patients with high oxygen requirements, the case fatality rate was 96.6%. Multivariable analysis identified age, hypertension, cardiovascular disease (CVD), and dyspnea on presentation as independent risk factors for COVID-19 mortality. CONCLUSIONS: The mortality rate was higher in older patients with comorbidities such as hypertension and CVD. Early recognition of high-risk patients may help to improve care and reduce mortality.

In-hospital mortality in SARS-CoV-2 stratified by serum 25-hydroxy-vitamin D levels: A retrospective study.

This study is done to estimаte in-hоsрitаl mоrtаlity in раtients with severe асute resрirаtоry syndrоme соrоnаvirus 2 (SАRS-СоV-2) strаtified by Vitamin-D (Vit-D) levels. Раtients were strаtified ассоrding tо by serum 25-hydroxy-vitamin D (25(OH)Vit-D) levels intо twо grоuрs, that is, 25(OH)Vit-D less thаn 40 nmol/L аnd 25(OH)Vit-D greаter thаn 40 nmol/L. А tоtаl оf 231 раtients were inсluded. Оf these, 120 (50.2%) оf the раtients hаd 25(OH)Vit-D levels greаter thаn 40 nmol/L. The meаn аge wаs 49 ± 17 yeаrs, аnd 67% оf the раtients were mаles. The mediаn length оf оverаll hоsрitаl stаy wаs 18 [6; 53] dаys. The remаining 119 (49.8%) раtients hаd а 25(OH)Vit-D less thаn 40 nmol/L. Vitamin D levels were seen as deficient in 63% of patients, insufficient in 25% and normal in 12%. Оverаll mоrtаlity wаs 17 раtients (7.1%) but statistically not signifiсаnt among the grоuрs (p = 0.986). The Kарlаn-Meier survivаl аnаlysis shоwed no significance based on an alpha of 0.05, LL = 0.36, df = 1, p = 0.548, indicating Vitamin_D_Levels was not able to adequately predict the hazard of Mortality. In this study, serum 25(OH)Vit-D levels were found have no significance in terms of predicting the in-hоsрitаl mortality in раtients with SАRS-СоV-2.

The Great Mimicker: Pulmonary Embolism Presenting as Flank Pain in a Sickle Cell Disease Patient.

Pulmonary embolism can be a challenging condition for physicians to manage. They often have to diagnose this disease with a high fatality rate via the presence of non-specific symptoms. Another unusual presentation is abdominal pain, which can delay diagnosis due to a broad differential. We report the case of a 30-year-old female with a history of sickle cell anemia who presented to the Emergency Department with several days of right flank pain and urinary symptoms. Unfortunately, her initial urine analysis and chest radiograph could have been misdiagnosed as pyelonephritis. Early diagnosis and timely treatment are critical factors in reducing the mortality rate from pulmonary embolism.

In-hospital mortality in SARS-CoV-2 stratified by the use of corticosteroid.

Objective: To investigate COVID-19 related mоrtаlity according to the use of corticosteroid therapy. Design: Retrospective cohort study. Setting: Two tertiary hospitals in Kuwait. Participants: Overall, 962 patients with confirmed SARS-CoV-2 infection, were stratified according to whether they were treated with corticosteroids (dexamethasone or methylprednisolone). The mean age of the patients was 50.2 ± 15.9 years and 344/962 (35.9%) were female. Main outcome measures: In-hospital mortality and cumulative all-cause mortality. Results: Compared to non-corticosteroid therapy patients, corticosteroid therapy patients had a higher prevalence of hypertension, diabetes mellitus, cardiovascular disease, chronic lung disease, and chronic kidney disease; a longer hospital stay (median [IQR]: 17.0 [5.0-57.3] days vs 14.0 [2.0-50.2] days); and a higher in-hospital mortality (51/199 [25.6%] vs 36/763 [4.7%]). Logistic regression analysis showed a higher in-hospital mortality in the corticosteroid group (adjusted odds ratio [aOR]: 4.57, 95% confidence interval [CI]: 2.64-8.02, p < 0.001). Cox proportional hazards regression showed that corticosteroid use was a significant predictor of mortality (hazard ratio [HR]: 3.96, p < 0.001). Conclusions: In-hospital mortality in patients with SARS-CoV-2 on corticosteroid therapy was 4.6 times higher than in those without corticosteroid therapy.

In-hospital Mortality Rates in SARS-CoV-2 Patients Treated with Enoxaparin and Heparin.

OBJECTIVES: This study aimed to investigate in-hospital mortality rates in patients with coronavirus disease (COVID-19) according to enoxaparin and heparin use. METHODS: This retrospective cohort study included 962 patients admitted to two hospitals in Kuwait with a confirmed diagnosis of COVID-19. Cumulative all-cause mortality rate was the primary outcome. RESULTS: A total of 302 patients (males, 196 [64.9%]; mean age, 57.2 ± 14.6 years; mean body mass index, 29.8 ± 6.5 kg/m2) received anticoagulation therapy. Patients receiving anticoagulation treatment tended to have pneumonia (n = 275 [91.1%]) or acute respiratory distress syndrome (n = 106 [35.1%]), and high D-dimer levels (median [interquartile range]: 608 [523;707] ng/mL). The mortality rate in this group was high (n = 63 [20.9%]). Multivariable logistic regression, the Cox proportional hazards, and Kaplan-Meier models revealed that the use of therapeutic anticoagulation agents affected the risk of all-cause cumulative mortality. CONCLUSION: Age, hypertension, pneumonia, therapeutic anticoagulation, and methylprednisolone use were found to be strong predictors of in-hospital mortality. In elderly hypertensive COVID-19 patients on therapeutic anticoagulation were found to have 2.3 times higher risk of in-hospital mortality. All cause in-hospital mortality rate in the therapeutic anticoagulation group was up to 21%.

In-hospital mortality in SARS-CoV-2 stratified by sex diffrences: A retrospective cross-sectional cohort study.

Background: The aim of this study was to determine in-hospital mortality in patients presenting with severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) and to evaluate for any differences in outcome according to sex differences. Methods: Patients with SRS-CoV-2 infection were recruited into this retrospective cohort study between February 26 and September 8, 2020 and strаtified ассоrding tо the sex differences. Results: In tоtаl оf 3360 раtients (meаn аge 44 ± 17 years) were included, of whom 2221 (66%) were mаle. The average length of hospitalization was 13 days (range: 2-31 days). During hospitalization and follow-up 176 patients (5.24%) died. In-hospital mortality rates were significantly different according to gender (p=<0.001). Specifically, male gender was associated with significantly greater mortality when compared to female gender with results significant at an alpha of 0.05, LL = 28.67, df = 1, p = 0.001, suggesting that gender could reliably determine mortality rates. The coefficient for the males was significant, B = 1.02, SE = 0.21, HR = 2.78, p < 0.001, indicating that an observation in the male category will have a hazard 2.78 times greater than that in the female category. Multivariate logistic regression confirmed male patients admitted with SARS-CoV-2had higher сumulаtive аll-саuse in-hоsрitаl mоrtаlity (6.8% vs. 2.3%; аdjusted оdds rаtiо (аОR), 2.80; 95% (СI): [1.61-5.03]; р < 0.001). Conclusions: Male gender was an independent predictor of in-hospital mortality in this study. The mortality rate among male SARS-CoV-2 patients was 2.8 times higher when compared with females.

Neutrophil to lymphocyte ratio and in-hospital mortality among patients with SARS-CoV-2: A retrospective study.

The goal of this study was to investigate in-hospital mortality in patients suffering from acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relative to the neutrophil to lymphocyte ratio (NLR) and to determine if there are gender disparities in outcome. Between February 26 and September 8, 2020, patients having SARS-CoV-2 infection were enrolled in this retrospective cohort research, which was categorized by NLR levels ≥9 and < 9. In total, 6893 patients were involved included of whom6591 had NLR <9, and 302 had NLR ≥9. The age of most of the patients in the NLR<9 group was 50 years, on the other hand, the age of most of the NLR ≥9 group patients was between 50 and 70 years. The majority of patients in both groups were male 2211 (66.1%). The ICU admission time and mortality rate for the patients with NLR ≥9 was significantly higher compared to patients with NLR <9. Logistic regression's outcome indicated that NLR ≥9 (odds ratio (OR), 24.9; 95% confidence interval (CI): 15.5-40.0; p < 0.001), male sex (OR, 3.5; 95% CI: 2.0-5.9; p < 0.001) and haemoglobin (HB) (OR, 0.95; 95% CI; 0.94-0.96; p < 0.001) predicted in-hospital mortality significantly. Additionally, Cox proportional hazards analysis (B = 4.04, SE = 0.18, HR = 56.89, p < 0.001) and Kaplan-Meier survival probability plots also indicated that NLR>9 had a significant effect on mortality. NLR ≥9 is an independent predictor of mortality(in-hospital) among SARS-CoV-2 patients.

In-hospital mortality in SARS-CoV-2 stratified by hemoglobin levels: A retrospective study.

This study is to estimate in-hospital mortality in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients stratified by hemoglobin (Hb) level. Patients were stratified according to hemoglobin level into two groups, that is, Hb <100 g/L and Hb >100 g/L. A total of 6931 patients were included. Of these, 6377 (92%) patients had hemoglobin levels >100 g/L. The mean age was 44 ± 17 years, and 66% of the patients were males. The median length of overall hospital stay was 13 days [2; 31]. The remaining 554 (8%) patients had a hemoglobin level <100 g/L. Overall mortality was 176 patients (2.54%) but was significantly higher in the group with hemoglobin levels <100 g/L (124, 22.4%) than in the group with hemoglobin levels >100 g/L (52, 0.82%). Risk factors associated with increased mortality were determined by multivariate analysis. The Kaplan-Meier survival analysis showed hemoglobin as a predictor of mortality. Cox proportional hazards regression coefficients for hemoglobin for the HB ≤ 100 category of hemoglobin were significant, B = 2.79, SE = 0.17, and HR = 16.34, p < 0.001. Multivariate logistic regression showed Hb < 100 g/L had a higher cumulative all-cause in-hospital mortality (22.4% vs. 0.8%; adjusted odds ratio [aOR], 0.33; 95% [CI]: [0.20-0.55]; p < 0.001). In this study, hemoglobin levels <100 g/L were found to be an independent predictor of in-hospital mortality.

Ferritin level: A predictor of severity and mortality in hospitalized COVID-19 patients.

INTRODUCTION: This study aims to investigate in-hоsрitаl mоrtаlity in severe асute resрirаtоry syndrоme соrоnаvirus 2 Ñ€Ð°tients strаtified by serum ferritin levels. METHODS: Patients were stratified based on ferritin levels (ferritin levels ≤ 1000 or >1000). RESULTS: Approximately 89% (118) of the patients with ferritin levels > 1000 had pneumonia, and 51% (67) had hypertension. Fever (97, 73.5%) and shortness of breath (80, 61%) were two major symptoms among the patients in this group. Logistic regression analysis indicated that ferritin level (odds ratio [OR] = 0.36, 95% confidence interval [CI] = 0.21-0.62; p < .001), male sex (OR = 2.63, 95% CI = 1.43-5.06; p = .003), hypertension (OR = 4.16, 95% CI = 2.42-7.36; p < .001) and pneumonia (OR = 8.48, 95% CI = 3.02-35.45; p < .001) had significance in predicting in-hospital mortality. Additionally, the Cox proportional hazards analysis and Kaplan-Meier survival probability plot showed a higher mortality rate among patients with ferritin levels > 1000. CONCLUSION: In this study, higher levels of serum ferritin were found to be an independent predictor of in-hоsрitаl mоrtаlity.

Perceived Impact of the COVID-19 Pandemic on Orthodontic Practice in the Middle East.

BACKGROUND: With COVID-19 announced as a global pandemic, a countrywide lockdown was executed in many countries, including the Middle East. With no foregoing warning or expectation, orthodontic treatments were temporarily canceled as dental clinics and colleges were indefinitely closed. To the best of our knowledge, no study addresses the orthodontist perspective in such testing times, where they are entirely restricted to the confines of their homes. The study aims to assess the impact of the COVID-19-related lockdown on orthodontists and orthodontic postgraduate students' treatment and psychology. MATERIALS AND METHODS: The survey participants consist of 315 orthodontists and orthodontic postgraduate residents from different Middle East countries. A pretested self-administered questionnaire was sent to the consenting participants through an online data collection platform (Google forms), covering participants' sociodemographics and participants' perceived impact of the COVID-19 pandemic. RESULTS: A majority of the participants (87.61%) stated that the pandemic would permanently change their way of practicing orthodontics and also will lead to the reduction in the number of orthodontic patients in the future (78.73%), and a significant number of orthodontists (67.61%) has an opinion that the pandemic will not affect the viability of their profession. The majority of the respondents (88.57%) commented about the negative economic impact of COVID-19 on their income, and regarding the effect of COVID-19 on psychosocial well-being, 73.01% had experienced anxiety and depression, 88.25% were excited about the future of the profession, and 68.57% enjoyed the life with their family due to lockdown, and when asked about their social life with the family and friends, majority of the participants (66.34%) had an opinion that it has improved due to the increased free time. CONCLUSIONS: Most of the respondents reported perceived economic, psychosocial, and social impacts due to the pandemic.