Age, race/Hispanic origin, and COVID-19 mortality among sickle cell disease patients in the United States

The COVID-19 pandemic remains a global health challenge, with 6.7 million deaths worldwide as of January 2023. It has illuminated the health iniquities in underserved communities and populations like those with sickle cell disease (SCD). Researchers have associated the COVID-19 outcome among SCD patients in other regions of the globe. The purpose of this retrospective cross-sectional observational study was to investigate the relationship between age, race/Hispanic origin, and COVID-19 mortality among persons with SCD in the United States from January 2020 to March 2021. The Krieger ecosocial theory of disease distribution framed the study. Data were drawn from an existing Centers for Disease Control and Prevention provisional SCD death data set (N = 140). The binary logistic regression analysis result showed a statistically significant relationship between age and race/Hispanic origin and COVID-19 mortality. The variability between ages was 42.9%;race/Hispanic origin was 29.9%;and age and race/Hispanic origin were the highest, with 62.4% dying from COVID-19. Non-Hispanic Black patients were 9.6 times more likely to die overall but those aged 60+ were 17.5 times more likely to die from COVID-19 than the reference groups (0-19-year-old and other race). This study can benefit the research community, public health workers, medical professionals, and policymakers to understand better and influence policy on developing and prioritizing age- and race-tailored preventive protocols and medical care. They may minimize pain and suffering while mitigating mortality from COVID-19 and other unforeseen future pandemics within the SCD community at home and abroad and positively effect social change. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The Associations of Antihypertensive Medications, Steroids, Beta Blockers, Statins and Comorbidities with COVID-19 Outcomes in Patients with and without Chronic Kidney Disease: A Retrospective Study

(1) Background: Data on COVID-19 outcomes and disease course as a function of different medications used to treat cardiovascular disease and chronic kidney disease (CKD), as well as the presence of different comorbidities in primarily Black cohorts, are lacking. (2) Methods: We conducted a retrospective medical chart review on 327 patients (62.6% Black race) who were admitted to the Detroit Medical Center, Detroit, MI. Group differences (CKD vs. non-CKD) were compared using the Pearson χ2 test. We conducted univariate and multivariate regression analyses for factors contributing to death during hospitalization due to COVID-19 (primary outcome) and ICU admission (secondary outcome), adjusting for age, sex, different medications, and comorbidities. A sub-analysis was also completed for CKD patients. (3) Results: In the fully adjusted model, a protective effect of ACEi alone, but not in combination with ARB or CCB, for ICU admission was found (OR = 0.400, 95% CI [0.183–0.874]). Heart failure was significantly associated with the primary outcome (OR = 4.088, 95% CI [1.1661–14.387]), as was COPD (OR = 3.747, 95% CI [1.591–8.828]). (4) Conclusions: Therapeutic strategies for cardiovascular disease and CKD in the milieu of different comorbidities may need to be tailored more prudently for individuals with COVID-19, especially Black individuals. [ FROM AUTHOR] Copyright of COVID is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

[Age-specific regional characteristics of COVID-19 mortality in 2021]. / A COVID­19-halandóság életkor-specifikus regionális jellemzoi 2021-ben.

INTRODUCTION: In most countries, COVID-19 mortality increases exponentially with age, but the growth rate varies considerably between countries. The different progression of mortality may reflect differences in population health, the quality of health care or coding practices. OBJECTIVE: In this study, we investigated differences in age-specific county characteristics of COVID-19 mortality in the second year of the pandemic. METHOD: Age-specific patterns of COVID-19 adult mortality were estimated according to county level and sex using a Gompertz function with multilevel models. RESULTS: The Gompertz function is suitable for describing age patterns of COVID-19 adult mortality at county level. We did not find significant differences in the age progression of mortality between counties, but there were significant spatial differences in the level of mortality. The mortality level showed a relationship with socioeconomic and health care indicators with the expected sign, but with different strengths. DISCUSSION AND CONCLUSION: The COVID-19 pandemic in 2021 resulted in a decline in life expectancy in Hungary not seen since World War II. The study highlights the importance of healthcare in addition to social vulnerability. It also points out that understanding age patterns will help to mitigate the consequences of the epidemic. Orv Hetil. 2023; 164(17): 643-650.

Association between distance to community health care facilities and COVID-19-related mortality across U.S. counties in the COVID-19-vaccine era.

OBJECTIVE: COVID-19 has caused tremendous damage to U.S. public health, but COVID vaccines can effectively reduce the risk of COVID-19 infections and related mortality. Our study aimed to quantify the association between proximity to a community healthcare facility and COVID-19 related mortality after COVID vaccines became publicly available and explore how this association varied across racial and ethnic groups. RESULTS: Residents living farther from a facility had higher COVID-19-related mortality across U.S. counties. This increased mortality incidence associated with longer distances was particularly pronounced in counties with higher proportions of Black and Hispanic populations.

Selection Effects and COVID-19 Mortality Risk after Pfizer vs. Moderna Vaccination: Evidence from Linked Mortality and Vaccination Records.

Prior research generally finds that the Pfizer-BioNTech (BNT162b2) and Moderna (mRNA1273) COVID-19 vaccines provide similar protection against mortality, sometimes with a Moderna advantage due to slower waning. However, most comparisons do not address selection effects for those who are vaccinated and with which vaccine. We report evidence on large selection effects, and use a novel method to control for these effects. Instead of directly studying COVID-19 mortality, we study the COVID-19 excess mortality percentage (CEMP), defined as the COVID-19 deaths divided by non-COVID-19 natural deaths for the same population, converted to a percentage. The CEMP measure uses non-COVID-19 natural deaths to proxy for population health and control for selection effects. We report the relative mortality risk (RMR) for each vaccine relative to the unvaccinated population and to the other vaccine, using linked mortality and vaccination records for all adults in Milwaukee County, Wisconsin, from 1 April 2021 through 30 June 2022. For two-dose vaccinees aged 60+, RMRs for Pfizer vaccinees were consistently over twice those for Moderna, and averaged 248% of Moderna (95% CI = 175%,353%). In the Omicron period, Pfizer RMR was 57% versus 23% for Moderna. Both vaccines demonstrated waning of two-dose effectiveness over time, especially for ages 60+. For booster recipients, the Pfizer-Moderna gap is much smaller and statistically insignificant. A possible explanation for the Moderna advantage for older persons is the higher Moderna dose of 100 µg, versus 30 µg for Pfizer. Younger persons (aged 18-59) were well-protected against death by two doses of either vaccine, and highly protected by three doses (no deaths among over 100,000 vaccinees). These results support the importance of a booster dose for ages 60+, especially for Pfizer recipients. They suggest, but do not prove, that a larger vaccine dose may be appropriate for older persons than for younger persons.

Prognostic value of R wave peak time in COVID-19 pneumonia.

BACKGROUND: R wave peak time (RWPT) is also known as intrinsicoid deflection time or ventricular activation time. It shows the conduction time from the endocardium in the ventricle to the epicardium. It provides diagnostic and prognostic information for many cardiovascular diseases, such as RWPT prolongation, left ventricular hypertrophy, volume overload, conduction system abnormalities, and myocardial ischemia. Objectives The aim of this study is to investigate the relationship between COVID-19 mortality and RWPT in superficial ECG. METHODS: This study retrospectively examined 640 patients diagnosed with COVID-19 and treated in an intensive care unit at a single center between January 2021 and June 2022. All patients included in the study had clinical and radiological characteristics and signs of COVID-19 pneumonia. RESULTS: 640 patients included in the study were divided into 2 groups: surviving and deceased. There were 510 patients in the surviving group and 130 patients in the deceased group. The deceased group was found to be significantly older. The number of patients with COPD was higher in the deceased group. Troponin, lactate dehydrogenase (LDH), C-reactive protein (CRP), D-dimer and T-peak to T-end interval(Tpe) and RWPT were found to be significantly increased in the deceased group. In binary logistic regression analysis; age, COPD, LDH, CRP, troponin, D-dimer, Tpe interval, RWPT were determined as independent risk factors for mortality. CONCLUSIONS: Prolonged RWPT is useful in risk stratification for COVID-19 pneumonia mortality.

COVID-19 Mortality by Demographics in a Brooklyn Hospital

Previous publications have shown worse COVID-19 outcomes in African American and LatinX patients. We are sharing the experience of a 750-bed tertiary safety net hospital in Brooklyn, NY. Copyright © Wolters Kluwer Health, Inc. All rights reserved.

Characteristics and outcomes of patients hospitalized with COVID-19 at a tertiary hospital in Nigeria

Background: Data regarding the features and outcomes of hospitalized COVID-19 patients in Africa are increasingly available. Objective(s): To describe socio-demographic, clinical and laboratory characteristics and outcomes of COVID-19 patients. Method(s): A cross-sectional study of 86 adult patients hospitalized with COVID-19 between March and November 2020. Characteristics were described in survivors and non-survivors. Result(s): Mean age was 60.9+/-16.1 years, 53(61.6%) were male. Co-morbidities were found in 77(89.5%) patients. On severity, 6(7%) were mild, 23(26.7%) moderate, 51(59.3%) severe and 6(7%) critical. Oxygen saturation and respiratory rate were 71+/-22% and 38+/-11/minute in non-survivors and 90+/-7% and 31+/-7/minute in survivors respectively (p<0.001, p<0.001)). Overall mortality was 47.7% with no death among patients with mild disease and deaths in all patients with critical disease. Duration of hospitalization was 2.0(1.0-4.5) days in those who died and 12(7.0-15.0) days in those who survived (p<0.001). Of the 42 patients that received dexamethasone, 11(26.2%) died, while 31(73.8%) survived (p=<0.001). Conclusion(s): Most of the patients had co-morbidities and there was high mortality in patients with severe and critical COVID-19. Mean oxygen saturation was low and respiratory rate high overall. Factors associated with mortality included: Significantly greater hypoxia and tachypnea, less dexamethasone use and shorter hospitalization.Copyright © 2023 Adekanmbi O et al. Licensee African Health Sciences.

Research Note: COVID-19 Is Not an Independent Cause of Death.

The COVID-19 pandemic has had overwhelming global impacts with deleterious social, economic, and health consequences. To assess the COVID-19 death toll, researchers have estimated declines in 2020 life expectancy at birth (e0). When data are available only for COVID-19 deaths, but not for deaths from other causes, the risks of dying from COVID-19 are typically assumed to be independent of those from other causes. In this research note, we explore the soundness of this assumption using data from the United States and Brazil, the countries with the largest number of reported COVID-19 deaths. We use three methods: one estimates the difference between 2019 and 2020 life tables and therefore does not require the assumption of independence, and the other two assume independence to simulate scenarios in which COVID-19 mortality is added to 2019 death rates or is eliminated from 2020 rates. Our results reveal that COVID-19 is not independent of other causes of death. The assumption of independence can lead to either an overestimate (Brazil) or an underestimate (United States) of the decline in e0, depending on how the number of other reported causes of death changed in 2020.

Inferior Liver Transplant Outcomes during early COVID-19 pandemic in United States

Background:: Since its declaration as a global pandemic on March11th 2020, COVID-19 has had a significant effect on solid-organ transplantation. The aim of this study was to analyze the impact of COVID-19 on Liver transplantation (LT) in United States. Method(s):: We retrospectively analyzed the United Network for Organ Sharing database regarding characteristics of donors, adult-LT recipients, and transplant outcomes during early-COVID period (March 11- September 11, 2020) and compared them to pre-COVID period (March 11 - September 11, 2019). Result(s):: Overall, 4% fewer LTs were performed during early-COVID period (4107 vs 4277). Compared to pre-COVID period, transplants performed in early-COVID period were associated with: increase in alcoholic liver disease as most common primary diagnosis (1315 vs 1187, P< 0.01), higher MELD score in the recipients (25 vs 23, P<0.01), lower time on wait-list (52 vs 84 days, P<0.01), higher need for hemodialysis at transplant (9.4 vs 11.1%, P=0.012), longer distance from recipient hospital (131 vs 64 miles, P<0.01) and higher donor risk index (1.65 vs 1.55, P<0.01). Early-COVID period saw increase in rejection episodes before discharge (4.6 vs 3.4%, P=0.023) and lower 90-day graft/patient survival (90.2 vs 95.1 %, P<0.01;92.2 vs 96.5 %, P<0.01). In multivariable cox-regression analysis, early-COVID period was the independent risk factor for graft failure at 90-days post-transplant (Hazard Ratio 1.77, P<0.01). Conclusion(s):: During early-COVID period in United States, overall LT decreased, alcoholic liver disease was primary diagnosis for LT, rate of rejection episodes before discharge was higher and 90-days post-transplant graft survival was lower.Copyright © 2022 The Author(s)

Association of government effectiveness, logistics performance, IT systems and income with COVID-19 mortality.

The COVID-19 pandemic has unprecedentedly shaken the public health system worldwide. It has been one of the greatest humanitarian crises faced by all countries, regardless of their economic prosperity. However, some countries have been able to minimize the deaths caused by the coronavirus even in the face of a large number of cases, while others have failed to control the death rate even in a comparatively small number of cases. This study explores possible causes of this disparity using cross-sectional data from 126 countries associated with demography, governance, income level, the extent of ICT maturity and the geographical divide. The results of this study suggest that while government effectiveness is negatively associated with the COVID-19 death rate, the logistics performance of governments is positively linked to the COVID-19 mortality rate. The ICT maturity proxied through online service delivery did not confirm its association with the COVID-19 mortality rate. This study informs that poverty and the location of countries do not necessarily influence COVID-19 deaths. Hence, it behoves governments to focus on improving government effectiveness and putting in place more effective and efficient mobility systems, healthcare supply chains and digital administration to address the global health crisis posed by the COVID-19 pandemic and mitigate its harsh effects, including mortality.

The COVID-19 pandemic and the timing of government response: A comparison of four Nordic countries March-June 2020.

OBJECTIVES: The aim is to compare Sweden, Denmark, Finland and Norway regarding government response to the COVID-19 pandemic in mid-March-June 2020 using the Oxford Government Response Tracker. STUDY DESIGN: Descriptive longitudinal ecological study. METHODS: Descriptive analysis of time series data. RESULTS: Sweden displayed a far lower response index in March. By late April indexes were similar. In May-June, response indexes were lower in Finland and Norway than in Sweden. The average response index in mid-March-June was similar in Sweden, Finland and Norway. CONCLUSIONS: The government response in the four countries indicates that timing of response was essential. Sweden's slow and weak initial government response in March-April was followed by less loosening of government response in May-June compared with, especially, Finland and Norway, which resulted in similar average government response in mid-March-June for the three countries. As a comparison, COVID-19 mortality per capita was 10 times higher in Sweden than in Finland and Norway, and five times higher than in Denmark during the same period.

COVID-19-Associated Pneumatocele and Subsequent Pneumothorax.

We report a case of pneumatocele and subsequent pneumothorax, 20 days after being treated for coronavirus disease 2019 (COVID-19) and discharged. This 64-year-old patient was initially treated for COVID-19 pneumonia and pulmonary embolism (PE) over a two-week-long admission. He was discharged and then re-presented two days post-discharge with sudden exacerbation of breathlessness. Blood tests showed worsening inflammatory markers likely associated with bacterial infection, and imaging revealed multiple pneumatoceles and subsequent pneumothorax. Unfortunately, he rapidly deteriorated and passed away. This case report adds to the growing concern in the literature about the serious and life-threatening complications of COVID-19 infection and raises awareness of this rare complication.

Rising surface ozone due to anthropogenic activities and its impact on COVID-19 related deaths in Delhi, India.

The rapidity and global spread of the COVID-19 pandemic have left several vital questions in the research community requiring coordinated investigation and unique perspectives to explore the relationship between the spread of disease and air quality. Previous studies have focused mainly on the relation of particulate matter concentration with COVID-19-related mortalities. In contrast, surficial ozone has not been given much attention as surface ozone is a primary air pollutant and directly impacts the respiratory system of humans. Hence, we analyzed the relationship between surface ozone pollution and COVID-19-related mortalities. In this study, we have analyzed the variability of various atmospheric pollutants (particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone) in the National Capital Region (NCR) of India during 2020-2021 using station data and investigated the relationship of the air-quality parameters with the COVID-19 related deaths. In northern parts of India, the concentration of particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone remain high during the pre- and post-monsoon seasons due to dust loading and crop residue burning (after winter wheat in April & summer rice in November). The westerly wind brings the polluted airmass from western and northwestern parts to Delhi and National Capital Region during April-June and October-November, and meteorological conditions help raise the concentration of these pollutants. Due to long solar hours and high CO concentrations, the ozone concentration is higher from April to June and September. While comparing major air quality parameters with COVID-19-related deaths, we found a good relationship between surface ozone and COVID-19 mortality in Delhi. We also observed a time lag relationship between ozone concentration and mortality in Delhi, so the exposure to Ozone in a large population of Delhi may have augmented the rise of COVID-19-related deaths. The analysis suggested that ozone has a significant relationship with COVID-19 related mortality in Delhi in comparison to other parameters.

Association Between Diabetes and Mortality Among Adult Patients Hospitalized With COVID-19: A Cohort Study of Hospitalized Adults in Ontario, Canada, and Copenhagen, Denmark.

OBJECTIVES: Diabetes has been reported to be associated with an increased risk of death among patients with COVID-19. However, the available studies lack detail on COVID-19 illness severity and measurement of relevant comorbidities. METHODS: We conducted a multicentre, retrospective cohort study of patients 18 years of age and older who were hospitalized with COVID-19 between January 1, 2020, and November 30, 2020, in Ontario, Canada, and Copenhagen, Denmark. Chart abstraction emphasizing comorbidities and disease severity was performed by trained research personnel. The association between diabetes and death was measured using Poisson regression. The main outcome measure was in-hospital 30-day risk of death. RESULTS: Our study included 1,133 hospitalized patients with COVID-19 in Ontario and 305 in Denmark, of whom 405 and 75 patients, respectively, had pre-existing diabetes. In both Ontario and Denmark, patients with diabetes were more likely to be older; have chronic kidney disease, cardiovascular disease, and higher troponin levels; and be receiving antibiotics, when compared with adults without diabetes. In Ontario, 24% (n=96) of adults with diabetes died compared with 15% (n=109) of adults without diabetes. In Denmark, 16% (n=12) of adults with diabetes died in hospital compared with 13% (n=29) of those without diabetes. In Ontario, the crude mortality ratio among patients with diabetes was 1.60 (95% confidence interval [CI], 1.24 to 2.07) and in the adjusted regression model it was 1.19 (95% CI, 0.86 to 1.66). In Denmark, the crude mortality ratio among patients with diabetes was 1.27 (95% CI, 0.68 to 2.36) and in the adjusted model it was 0.87 (95% CI, 0.49 to 1.54). Meta-analysis of the 2 rate ratios from each region resulted in a crude mortality ratio of 1.55 (95% CI, 1.22 to 1.96) and an adjusted mortality ratio of 1.11 (95% CI, 0.84 to 1.47). CONCLUSION: The presence of diabetes was not strongly associated with in-hospital COVID-19 mortality independent of illness severity and other comorbidities.

The impact of vaccination to clinical severity and mortality of COVID-19 patients

Background: SARS-CoV-2 was discovered in December 2019 and later become global pandemic. Preliminary studies stated that broad vaccine coverage will suppress mortality and incidence of COVID-19. Therefore, we conduct a cross-sectional study to assess the efficacy of COVID-19 vaccination. Materials and Methods: We collected secondary data from electronic medical records of 343 COVID-19 positive patients confirmed via reverse transcription polymerase chain reaction from July 2021 to December 2021. We analyzed epidemiologic data, vaccination history, baseline symptoms, comorbidity, baseline vital signs, and outcome using hypothesis testing χ 2 and logistic regression. Results: Sex had an χ 2 of 9.34 (P 0.001) while type of vaccine had an χ 2 of 1.49 (P = 0.22) to clinical severity. Age, pulse rate, respiration rate, body temperature, and Glasgow coma scale were found to be significant risk factors to clinical severity. Number of vaccines previously received was found to be a protective factor to clinical severity (odds ratio (OR) = 0.49, 95% CI = 0.32-0.74, P 0.001). We also found that sex (χ 2 = 10.42, P 0.001) was a predictor to discharge condition. Moreover, age was also found to be a significant predictor (OR = 1.03, 95% CI = 1.03-1.05, P 0.001), as well as number of symptoms (OR = 0.66, P 0.001), comorbidities (OR = 1.64, P 0.001), pulse rate (OR = 1.04, P 0.001), respiration rate (OR = 1.17, P 0.001), and Glasgow coma scale (OR = 0.72, P = 0.03). Conclusion: Age, sex, number of vaccines received, number of symptoms, number of comorbidities, pulse rate, and respiration rate were significant predictors of clinical severity and outcome in COVID-19 patients. In addition, body temperature was also a predictor for clinical severity, while Glasgow coma scale was a predictor for outcome. © 2023 Bali Journal of Anesthesiology ;Published by Wolters Kluwer - Medknow.

Clinical and Laboratory Predictors of Mortality in Severe COVID-19 Pneumonia: A Retrospective Study from India

OBJECTIVE: Wide arrays of laboratory parameters have been proposed by many studies for prognosis in COVID-19 patients. In this study, we wanted to determine if the International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score in addition to certain clinical and laboratory parameters would help in predicting mortality. We wanted to determine if a greater severity score on chest x-ray at presentation translated to poor patient outcomes using the COVID-19 chest radiography score. MATERIAL AND METHODS: This retrospective study was conducted at SDS TRC and Rajiv Gandhi Institute of chest diseases, Bangalore from March 2021 to June 2021. This study included 202 real-time-polymerase chain reaction-positive COVID-19 patients aged above 18 years admitted to the intensive care unit of our hospital. Demographic characteristics and baseline hematological and inflammatory markers (serum C-reactive protein, lactate dehydrogenase, troponin-I, ferritin, and d-dimer) were collected. Radiological severity on a chest x-ray was assessed using the validated COVID-19 chest radiography score. The International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score was assigned to each patient within 24 hours of intensive care unit admission. Outcome studied was in-hospital mortality. RESULT(S): The overall mortality was 54.9% (111 cases). Age more than 50 years, >4 days of symptoms, peripheral oxygen saturation/ fraction of inspired oxygen ratio less than 200, elevated serum lactate dehydrogenase >398.5 IU/L, and hypoalbuminemia (<2.95 g/dL) were detected as independent predictors of mortality. A significant correlation of risk stratification with mortality (P = .057) was seen with International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score. There was no significant correlation between the COVID-19 chest radiography score and mortality. CONCLUSION(S): Age >50 years, peripheral oxygen saturation/fraction of inspired oxygen ratio <200, mean symptom duration of >4 days, elevated serum lactate dehydrogenase, and hypoalbuminemia are independent predictors of mortality in severe COVID-19 pneumonia. International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score was different in the survivors and deceased.Copyright © Author(s).

Can Pneumothorax Developing in COVID-19 Patients be a Mortality Marker?

Objectives: The purpose of this study is to investigate the effects of pneumothorax (PX), a rare complication of COVID-19, on mortality. Method(s): All patients admitted to our hospital with the diagnosis of COVID-19 were screened, and patients who developed PX were included in the study. Patient demographics data, number of days of hospitalization for comorbidities, day and duration of thorax tube insertion, and laboratory findings during hospitalization were recorded by scanning the hospital automation system and patient records. Result(s): For our study, 7485 patients hospitalized with the diagnosis of COVID-19 were screened in intensive care unit. PX was detected in 32 (0.296%) of the patients. About 59.4% of these patients included in the study were male. DM was the most common comorbid condition at 56.3%. In these patients, the mortality rate was found to be 90.6%. Conclusion(s): The data obtained indicate that PX, a COVID-19 complication, leads to a serious increase in mortality. We believe that using protective ventilation methods to avoid the development of pneumotarax will help to reduce mortality.© Copyright 2022 by The Cardiovascular Thoracic Anaesthesia and Intensive Care - Available online at www.gkdaybd.org.

Causes of COVID-19's Mortality and Prognostic Effect of Neutrophile-Lymphocyte Ratio

Objectives: In this study, we aimed to investigate the prognostic value of the neutrophile-lymphocyte ratio and the effects of age, gender, and comorbidities on mortality. Method(s): In our study, 100 patients who had a ground-glass opacification on computed thorax tomography and who had a positive polymerase chain reaction test were included in our study. Demographic data, laboratory data and comorbidities of the patients were recorded. Result(s): Sixty-five (65%) of the patients participating in the study were male. The mean age of the patients was 66 (21.5). The mortality rate was found to be 27% (n=27) High neutrophile-lymphocyte ratio, low lymphocyte count, high urea, and creatin levels were significant in terms of mortality. In addition, advanced age, diabetes mellitus, and hypertension are other factors that have an impact on mortality. Conclusion(s): The neutrophile-lymphocyte ratio can solely be used as a prognostic marker because it is simple and economical.©Copyright 2022 by The Cardiovascular Thoracic Anaesthesia and Intensive Care.

COVID-19, mobility, leisure, and travel around the world

The paper uses daily data from Google to analyze the impact of the COVID-19 pandemic on people's mobility around the world regarding three types of leisure and travel activity: retail shopping and recreation;participation in open spaces, such as parks, beaches, gardens, and marinas;and food and medicine. These types of activity reflect important leisure and travel choices of people under conditions of epidemiological risk. We use the daily mortality rate as a key predictor. The results show that higher rates of mortality are associated with a lower mobility in shopping and recreation activities, higher mobility in open space activities, and rather insignificant changes in mobility regarding necessities. The effect depends on the stringency of the lockdown policies. The results remain robust after applying endogeneity analysis and country-level controls.