Coronavirus Disease 2019 Mortality Research Articles

Inhaled corticosteroids on mortality in COVID-19: A systematic review and meta-analysis of randomized controlled trials.

This systematic review and meta-analysis aimed to determine the efficacy of inhaled corticosteroids (ICS) on mortality in patients with coronavirus disease-2019 (COVID-19). A systematic search was made of PubMed, Embase, Cochrane Library, and clinicaltrials.gov, without language restrictions. Randomized controlled trials (RCTs) on the treatment of COVID-19 with ICS were reviewed. Studies were pooled to risk ratios (RRs), with 95% confidence intervals (CIs). Eleven RCTs (enrolling 5832 participants) met the inclusion criteria. There was no statistically significant difference in COVID-19-related death (RR 0.88, 95% CI 0.38-2.04), all-cause death (RR 1.05, 95% CI 0.49-2.23), and invasive ventilation (RR 1.26, 95% CI 0.60-2.62) between the two groups. ICS was not associated with reduced mortality and invasive ventilation in patients with COVID-19.

Malnutrition elevates delirium and ICU stay among critically ill older adult COVID-19 patients

Background and aimMalnutrition among intensive care unit (ICU) patients is associated with a higher risk of mortality and prolonged hospitalization. However, the influence of malnutrition on severe outcomes of ICU patients with coronavirus disease 2019 (COVID-19) is unclear. By evaluating the effect of malnutrition on the outcomes of COVID-19 in the ICU in older adult patients, this study will contribute to new knowledge of assessing the nutritional status and recovery of these patients.MethodsIn the current single center prospective study, 310 critically ill COVID-19 patients with an age range of ≥65 years were recruited. Data on demographic characteristics, laboratory parameters, comorbidities, medications, and types of mechanical ventilation were collected in the first 24 h of ICU admission. Malnutrition was defined based on the two-step approach of the Global Leadership Initiative on Malnutrition (GLIM) scale at baseline. During the 45 days after the baseline, we collected data on delirium incidence, mortality, invasive mechanical ventilation (IMV) requirement, length of ICU and hospital admission, and re-hospitalization.ResultsIn this study, the prevalence of malnutrition was 63.4% among critically ill COVID-19 patients. During the 45-day follow-up, 190 (61.3%) COVID-19 deaths were recorded among the baseline 310 patients. After controlling for potential confounders, malnutrition was associated with an increased risk of delirium so malnourished COVID-19 patients had a significantly 35% higher risk of delirium than those without malnutrition (HR: 1.35, 95% CI: 1.01–1.83). Such a significant association was not for COVID-19 mortality and IMV requirement. In addition, malnutrition was associated with a significantly 84% greater odds of prolonged ICU admission (OR: 1.84, 95% CI: 1.09–3.10). No significant association was seen between malnutrition and re-hospitalization and also prolonged hospital admission.ConclusionMalnutrition was associated with an increased risk of delirium and prolonged ICU admission among critically ill older adult COVID-19 patients. Prevention, diagnosis, and treatment of malnutrition could be a key component in improving outcomes in these patients.

Association between ABO blood groups and risk of COVID-19 infection: An umbrella review

Numerous primary studies, systematic reviews, and meta-analyses have been conducted to examine the association between ABO blood groups and susceptibility to coronavirus disease 2019 (COVID-19) infection. The findings, however, are preliminary and contentious. As a result, the following umbrella review examines the relationship between ABO blood groups and the risk of COVID-19 infection. From December 9, 2020, to December 29, 2020, relevant articles were searched using Google Scholar, Google, and Cochrane systematic review databases. After eliminating duplicates and screening records based on article titles, abstracts, and full texts, four full article texts met the inclusion criteria. The data were analyzed using a narrative approach. This umbrella review suggests that blood group A may be a risk factor for COVID-19 infection and blood group O may be a protective factor; however, all studies included in this umbrella review reported significant heterogeneity across primary studies, which may explain inconsistent and discordant findings regarding the relationship between ABO blood groups and risk of COVID-19 infection, severity, and mortality outcomes, thereby limiting the findings. Thus, additional methodologically rigorous and experimental research and prospective cohort studies are warranted.

SARS-CoV-2 vaccine effectiveness and clinical outcomes in hemodialysis patients: the NHIS-COVID-19 cohort study in South Korea

BackgroundPatients undergoing hemodialysis (HD) have a high risk of novel coronavirus disease 2019 (COVID-19) and poor clinical outcomes. This study aimed to investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine effectiveness against infection and deaths in the South Korean population undergoing HD.MethodsWe conducted a retrospective cohort study to compare the incidence of COVID-19 and post-diagnosis mortality between patients who were either never vaccinated or fully or partially vaccinated. The Korean nationwide COVID-19 registry and the Korean National Health Insurance Service databases were used. Adult patients without a history of COVID-19 were included between October 8, 2020, and December 31, 2021. The study outcomes were COVID-19 diagnosis, severe clinical COVID-19-related events, and post-diagnosis death.ResultsEighty-five thousand eighteen patients undergoing HD were included, of whom 69,601 were fully vaccinated, 2,213 were partially vaccinated and 13,204 were unvaccinated. Compared with the unvaccinated group, the risk of being diagnosed with COVID-19 in patients who were fully vaccinated decreased during the study period (adjusted odds ratio [aOR] = 0.147; 95% confidence interval [CI] = 0.135–0.159). There were 1,140 (1.3%) patients diagnosed with COVID-19. After diagnosis, fully vaccinated patients were significantly less likely to die than unvaccinated patients (aOR = 0.940; 95% CI = 0.901–0.980) and to experience severe clinical events (aOR = 0.952; 95% CI = 0.916–0.988).ConclusionFull vaccination against COVID-19 was associated with a reduced risk of both infection and severe clinical outcomes in the South Korean population undergoing HD. These findings support the use of vaccination against SARS-CoV-2 among patients undergoing HD.

Interferon-Induced Transmembrane Protein-3 Rs12252-G Variant Increases COVID-19 Mortality Potential in Egyptian Population.

Coronavirus disease 2019 (COVID-19) represented an international health risk. Variants of the interferon-induced transmembrane protein-3 (IFITM3) gene can increase the risk of developing severe viral infections. This cross-sectional study investigated the association between IFITM3 rs12252A>G single nucleotide polymorphism (SNP) and COVID-19 severity and mortality in 100 Egyptian patients. All participants were subjected to serum interleukin-6 (IL-6) determination by ELISA and IFITM3 rs12252 genotyping by real-time polymerase chain reaction. Of all participants, 85.0% had the IFITM3 rs12252 homozygous AA genotype, whereas 15.0% had the heterozygous AG genotype. None of our participants had the homozygous GG genotype. The IFITM3 rs12252A allele was found in 92.5% and the G allele in only 7.5%. There was no significant association (p > 0.05) between the IFITM3 rs12252 SNP and COVID-19 severity, intensive care unit (ICU) admission, or IL-6 serum levels. The heterozygous AG genotype frequency showed a significant increase among participants who died (32.0%) compared with those who had been cured (9.3%). The mutant G allele was associated with patients' death. Its frequency among cured participants was 8.5%, whereas in those who died was 24.2% (p = 0.024) with 3.429 odds ratio [95% confidence interval: 1.1-10.4]. In conclusion, this study revealed a significant association between the G allele variant of IFITM3 rs12252 and COVID-19 mortality. However, results were unable to establish a significant link between rs12252 polymorphism, disease severity, ICU admission, or serum IL-6 levels.

Vitamin D receptor gene polymorphisms role in COVID-19 severity: Results of a Mexican patients' cohort.

Vitamin D status has been involved with coronavirus disease 19 (COVID-19) severity. This may be mediated by vitamin D metabolism regulatory genes. Of interest is the vitamin D receptor (VDR) gene, which has been previously associated with other inflammatory and respiratory diseases. In order to investigate the role of VDR gene polymorphisms in COVID-19 severity and outcome, a total of 292 COVID-19 patients were classified according to severity in moderate (n=56), severe (n=89) and critical (n=147) and, according to outcome in survivor (n=163) and deceased (n=129), and analysed for FokI and TaqI VDR gene polymorphisms by polymerase chain reaction-based restriction enzyme digestion. The FokI and TaqI single nucleotide polymorphisms (SNPs) were not associated with COVID-19 severity or mortality individually but when analysed by haplotype, TC was associated with an increased risk of presenting critical COVID-19. Additionally, FokI CT genotype was more frequent in COVID-19 patients with hypertension, and T allele carriers presented higher aspartate aminotransferase levels. Our results suggest a relationship between VDR FokI and TaqI SNPs and COVID-19 severity in Mexican population. Although there are some previous reports of VDR polymorphisms in COVID-19, this represents the first report in Latin American population. Further studies on other populations are encouraged.

Clinical and diagnostic utility of platelet count and its parameters in COVID-19

The majority of the published studies have described the alterations in platelet count and platelet indices in both severe and non-severe Coronavirus Disease 2019 (COVID-19). However, their association with COVID-19 mortality remains unclear. In the present study, our aim is to determine the temporal evolution of platelet count and its parameters between survivors and non-survivors, as well as their potential association with clinical outcomes. This cross-sectional study included 1118 inpatients (≥18 years old) diagnosed as SARS-CoV-2 positive by a Real-Time Polymerase Chain Reaction (RT-PCR) and hospitalized between May 1st, 2020 and November 1st, 2020. Data of complete blood count (CBC) parameters evaluated on different days after admission was gathered and the median value of each CBC parameter was considered for assessing the difference between survivors and non-survivors. There was statistically significant variation between survivors and non-survivors for platelet count [p<0.001, mean difference-80 x 109/L], mean platelet volume [p<0.001, mean difference- 0.7 fL], platelet distribution width [p<0.001, mean difference-2.5%] and platelet-lymphocyte ratio [p<0.001, mean difference-123.8]. Thrombocytopenia occurred more commonly in deceased patients compared to survivors. Platelet count, Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) differed significantly between survivors and non-survivors, revealing distinct trends indicating their importance in the management of COVID-19 patients. These cost-effective parameters can be easily obtained from a CBC.

COVID-19 mortality in 1984 Bhopal gas tragedy survivors: implications for chemically exposed populations.

Leakage of methyl isocyanate from the Union Carbide plant in Bhopal, India, killed thousands and left deleterious trans-generational effects. Gas-exposed populations experience higher rates of lung and metabolic diseases, and immune dysregulation, all associated with adverse outcomes in coronavirus disease 2019 (COVID-19). We used publicly available, official data from government sources to estimate COVID-19-associated crude mortality in populations with and without a history of gas exposure. Overall, there were 1240 deaths among patients hospitalized with known COVID-19 in Bhopal, of which 453 (36.53%) were in gas-exposed individuals, 726 (58.55%) were in gas-unexposed individuals and the exposure status of 61 (4.92%) individuals could not be determined. There were 351 and 375 deaths in gas-unexposed people in the first (April 2020-February 2021) and second (March 2021-July 2021) waves, respectively; in the gas-exposed population, there were 300 and 153 deaths in the two respective waves. The overall annualized crude mortality of COVID-19 was 3.84 (95% CI 3.41 to 4.33) times higher in the gas-exposed population at 83.6 (95% CI 76.1 to 91.7) per 100 000 compared with the gas-unexposed population, at 21.8 (95% CI 20.2 to 23.4) per 100,000. When stratified by age, compared with unexposed people, the gas-exposed individuals experienced 1.88 (95% CI 1.61 to 2.21) and 1.24 (95% CI 1.02 to 1.50) times the mortality rates in the age groups of 35-65 and >65 y, respectively. These findings indicate that gas-exposed individuals are likely to have a higher risk of severe COVID-19 and death and need to be specifically targeted and recognized for preventive and promotive efforts.

Evaluating the association of body mass index with COVID-19 severity and mortality using Japanese administrative claims data

Obesity is a risk factor for aggravation of and mortality from coronavirus disease 2019 (COVID-19). We aimed to investigate the relationship between COVID-19 and Body Mass Index (BMI) in the Japanese population. We used administrative claims data from an advanced treatment hospital in Japan and extracted data from patients hospitalized for COVID-19. The exposure variable was BMI measured at the time of admission, and the study outcomes were progression to critical illness and death. Analyses were performed for each age group. Overall, 58,944 patients met the inclusion criteria. The risk of critical illness increased monotonically with higher BMI. In contrast, the relationship between BMI and mortality follows a J-shaped curve; being underweight and obese are risk factors for mortality. When stratified by age, similar trends were observed for both critical illness and mortality. A higher BMI is a risk factor for the progression of COVID-19 severity, whereas both lower and higher BMIs are risk factors for mortality in the Japanese population.

A retrospective study of hematological and biochemical parameters in coronavirus disease 2019 (COVID-19) patients in Vietnam

The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-CoV-2 virus has had a serious impact on global public health. Currently, there are not many studies evaluating the impact of COVID-19 on changes in biochemical and hematological parameters of COVID-19 patients in Vietnam. This study aimed to investigate clinical characteris tics and changes in hematological and biochemical parameters in COVID-19 patients. This retrospective and cross-sectional study collected the medical records of 654 COVID-19 patients treated at Dong Nai General Hospital from August to December 2021. Medical information from COVID-19 patients was collected through handwritten medical records and HIS-FP software. The age of the study population was 56.69±15.97. Diabetes was the most common comorbidity and had a significant relationship with COVID-19 severity and mortality. For hematological tests, total white blood cell (WBC) and Percentage of neutrophils (%NEU) in non-survivors (12.87±6.45) signifi- cantly increased compared with survivors (9.08±4.48) (p<0.001). Neutrophils (NEU), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR) increased in both non-survivors and survivors; lymphocytes (LYM) and percentage of lymphocyte (%LYM) decreased in both groups. For biological parameters, aspartate transaminase (AST) in non-survivors [55.9 (38.5–89.1)] significantly increased compared with survivors [36.55 (23.02–67.12)] (p<0.001). Lactate dehy drogenase (LDH) activity, C-reactive protein (CRP), and D-dimer levels increased in both non-survivors and survivors. NEU, LYM, NLR, PLR, LDH, CRP, and D-dimer were related to the severity of COVID-19 disease.

Development and validation of a predicting nomogram for in-hospital mortality of COVID-19 Omicron variant: A cohort study of 1324 cases in Beijing Anzhen Hospital

Coronavirus disease 2019 (COVID-19) is continuously posing high global public health concerns due to its high morbidity and mortality. This study aimed to construct a convenient risk model for predicting in-hospital mortality of COVID-19 Omicron variant. A total of 1324 hospitalized patients with Omicron variant were enrolled from Beijing Anzhen Hospital. During hospitalization, the Omicron variant mortality rate was found to be 24.4%. Using the datasets of clinical demographics and laboratory tests, three machine learning algorithms, including best subset selection, stepwise selection, and least absolute shrinkage and selection operator regression analyses were employed to identify the potential predictors of in-hospital mortality. The results found that a panel of twenty-four clinical variables (including age, hyperlipemia, stroke, tumor, and several cardiovascular markers) identified by stepwise selection model exhibited significant performances in predicting the in-hospital mortality of COVID-19. The resultant nomogram showed good discrimination, highlighted by the areas under the curve values of 0.88 for 10 days, 0.81 for 20 days, and 0.82 for 30 days, respectively. Furthermore, decision curve analysis showed a significant reliability and precision for the established stepwise selection model. Collectively, this study developed an accurate and convenience risk model for predicting the in-hospital mortality of COVID-19 Omicron.

Antimicrobial resistance burden pre and post-COVID-19 pandemic with mapping the multidrug resistance in Egypt: a comparative cross-sectional study

Overuse of antibiotics during coronavirus disease 2019 (COVID-19) in an attempt to reduce COVID-19 mortality in the short term may have contributed to long-term mortality from antimicrobial resistance (AMR). The aim of this study was to evaluate the impact of the COVID-19 pandemic on AMR in Egypt and map the distribution of multidrug-resistant (MDR) and extensive drug-resistant (XDR) across Egypt. Through a multicenter cross-sectional study 2430 culture results were collected in 2019 and 2022 pre and post-COVID-19 pandemic in Egypt, including 400 Klebsiella pneumoniae, 760 Escherichia coli, 650 Acinetobacter baumannii, and 620 Methicillin-resistantstaphylococcus aureus (MRSA) culture results. MDR and XDR culture results distribution across Egypt was highlighted through the geographic information system. Mixed effect logistic regression models and sub-group analysis were performed according to the type of specimens to test the impact of COVID-19 on resistance. Adjusted analysis demonstrated K. pneumoniae resistance has increased against quinolones and carbapenems (P < 0.001). Resistance of E. coli has increased significantly against imipenem and meropenem. While E.coli susceptibility has increased to cefoxitin, levofloxacin, and ciprofloxacin. A. baumannii resistance has increased more than double against ceftazidime, cefepime, and piperacillin-tazobactam (P < 0.001). MRSA reserved its susceptibility to vancomycin and linezolid. MDR K. pneumoniae and A. baumannii have increased post-COVID-19 from 67% to 94% and from 79% to 98%, respectively (P < 0.001). XDR K. pneumoniae and A. baumannii have increased from 6% to 46%, and from 47% to 69%, respectively (P < 0.001). COVID-19 has changed the profile of AMR in Egypt so that urgent action is required to mitigate this threat and preserve our capacity to face infections in future decades.

Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis.

The spread of the severe acute respiratory syndrome coronavirus 2 outbreak worldwide has caused concern regarding the mortality rate caused by the infection. The determinants of mortality on a global scale cannot be fully understood due to lack of information. To identify key factors that may explain the variability in case lethality across countries. We identified 21 Potential risk factors for coronavirus disease 2019 (COVID-19) case fatality rate for all the countries with available data. We examined univariate relationships of each variable with case fatality rate (CFR), and all independent variables to identify candidate variables for our final multiple model. Multiple regression analysis technique was used to assess the strength of relationship. The mean of COVID-19 mortality was 1.52 ± 1.72%. There was a statistically significant inverse correlation between health expenditure, and number of computed tomography scanners per 1 million with CFR, and significant direct correlation was found between literacy, and air pollution with CFR. This final model can predict approximately 97% of the changes in CFR. The current study recommends some new predictors explaining affect mortality rate. Thus, it could help decision-makers develop health policies to fight COVID-19.

Is Metformin Use Associated with a More Favorable COVID-19 Course in People with Diabetes?

Background: Diabetes Mellitus (DM) has been associated with a higher Coronavirus disease-19 (COVID-19) mortality, both in hospitalized patients and in the general population. A possible beneficial effect of metformin on the prognosis of COVID-19 has been reported in some observational studies, whereas other studies disagree. Methods: To investigate the possible effect of metformin on COVID-19 in-hospital mortality, we performed a retrospective study that included all SARS-CoV-2-positive patients with DM who were admitted to two Italian hospitals. In order to adjust for possible confounders accounting for the observed reduction of mortality in metformin users, we adopted the COVID-19 Mortality Risk Score (COVID-19 MRS) as a covariate. Results: Out of the 524 included patients, 33.4% died. A binomial logistic regression showed that metformin use was associated with a significant reduction in case fatality (OR 0.67 [0.45-0.98], p = 0.039), with no significant effect on the need for ventilation (OR 0.75 [0.5-1.11], p = 0.146). After adjusting for COVID-19 MRS, metformin did not retain a significant association with in-hospital mortality [OR 0.795 (0.495-1.277), p = 0.342]. Conclusions: A beneficial effect of metformin on COVID-19 was not proven after adjusting for confounding factors. The use of validated tools to stratify the risk for COVID-19 severe disease and death, such as COVID-19 MRS, may be useful to better explore the potential association of medications and comorbidities with COVID-19 prognosis.

COVID-19 mortality paradox (United States vs Africa): Mass vaccination vs early treatment.

The coronavirus disease 2019 (COVID-19) mortality rate in 55 African countries is almost 4.5 times lower than in the coronavirus disease 2019 (COVID-19) despite Africa having over 4.2 times more people. This mortality paradox is also evident when comparing Nigeria, a heavily populated, poorly vaccinated and weakly mandated country to Israel, a small, highly vaccinated and strictly mandated country. Nigeria has almost 4 times lower COVID mortality than Israel. In this Field of Vision perspective, I explain how this paradox has evolved drawing upon my academic, clinical and social experience. Since April 2020, I've developed and been using the Egyptian immune-modulatory Kelleni's protocol to manage COVID-19 patients including pediatric, geriatric, pregnant, immune-compromised and other individuals suffering from multiple comorbidities. It's unfortunate that severe acute respiratory syndrome coronavirus 2 is still evolving accompanied by more deaths. However in Africa, we've been able to live without anxiety or mandates throughout the pandemic because we trust science and adopted early treatment using safe, and effective repurposed drugs that have saved the majority of COVID-19 patients. This article represents an African and Egyptian tale of honor.

Study protocol: Project 2VIDA! SARS-CoV-2 vaccine intervention delivery for adults in Southern California.

To date, the United States (US) leads the world in the number of infections and deaths due to the Coronavirus Disease 2019 (COVID-19). Racial and ethnic disparities in COVID-19 morbidity and mortality are staggering. Age-adjusted data show that AA and Latino individuals have had higher rates of death over most of the pandemic and during surges. Project 2VIDA! is community-based participatory research (CBPR) that was developed to address individual, social, and contextual factors related to access and acceptance of the COVID-19 vaccine among African American and Latino communities in Southern California. This paper describes the study protocol and overarching objectives. Project 2VIDA! is a multilevel intervention that builds on the principals of CBPR and is designed to increase uptake of the COVID-19 vaccine among African American and Latino individuals (≥16 years and older) in San Diego County. The intervention was developed with a working group comprised of representatives from community and academia and centers on targeted COVID-19 individual awareness and education, linkage to medical and supportive services, COVID-19 community outreach and health promotion and offering the COVID-19 vaccine through community pop-up clinics. Findings from 2VIDA! will provide data on the impact, feasibility, and acceptability of the intervention which are all crucial for the adaptation, refinement, and improvement of vaccine outreach interventions for COVID-19 and other vaccine preventable infectious diseases that severely impact African American and Latino communities. https://clinicaltrials.gov/ct2/show/NCT05022472?term=Project+2VIDA&draw=2&rank=1, NCT05022472.

Worsening of health disparities across COVID-19 pandemic stages in Korea.

With the end of the coronavirus disease 2019 (COVID-19) pandemic, the health outcomes of this disease in Korea must be examined. We aimed to investigate health outcomes and disparities linked to socioeconomic status during the COVID-19 pandemic in Korea and to identify risk factors for hospitalization and mortality. This nationwide retrospective study incorporated an analysis of individuals with and without COVID-19 in Korea between January 1, 2020, and December 31, 2022. The study period was divided into 4 stages. Prevalence, hospitalization, mortality, and case-fatality rates were calculated per 100,000 population. Multivariate logistic regression was performed to identify risk factors for COVID-19 hospitalization and mortality. Overall, the incidence rate was 40,601 per 100,000 population, the mortality rate was 105 per 100,000 population, and the case-fatality rate was 259 per 100,000 cases. A total of 12,577,367 new cases (24.5%) were recorded in stage 3 and 8,979,635 cases (17.5%) in stage 4. Medical Aid recipients displayed the lowest 3-year cumulative incidence rate (32,737 per 100,000) but the highest hospitalization (5,663 cases per 100,000), mortality (498 per 100,000), and case-fatality (1521 per 100,000) rates. Male sex, older age, lower economic status, non-metropolitan area of residence, high Charlson comorbidity index, and disability were associated with higher risk of hospitalization and death. Vaccination was found to reduce mortality risk. As the pandemic progressed, surges were observed in incidence, hospitalization, and mortality, exacerbating disparities associated with economic status and disability. Nevertheless, Korea has maintained a low case-fatality rate across all economic groups.

Decomposing mechanisms of COVID-19 mortality in empirical datasets: A modeling study

Our objective was to decompose mortality mechanisms during the coronavirus disease 2019 (COVID-19) pandemic to estimate direct, indirect, and associated deaths from COVID-19. Given the confirmatory diagnosis of COVID-19, a death event that was not necessarily caused by respiratory complications but stemmed from other complications was categorized as an indirect death from COVID-19. Associated deaths occurred in patients who did not have COVID-19 but died during the surge in COVID-19 cases when overwhelming pressure was exerted on the healthcare system. Analyzing the sixth wave (i.e., the first epidemic wave of the Omicron B.1.1.529 variant from January to May 2022), decomposition was achieved using the binomial and Poisson sampling process models fitted to two pieces of data (i.e., COVID-19 death certificate and excess data by major cause of death). The total numbers of direct, indirect, and associated deaths during the sixth wave in Osaka were estimated at 1,071; 948; and 2,157; respectively. The number of associated deaths was greater than the sum of direct and indirect deaths. We further observed that the composition of indirect and associated deaths differed by major cause of death, and deaths caused by circulatory disease included a greater proportion of indirect deaths compared with deaths by other causes. The goals of healthcare services for endemic COVID-19 include the sustainable provision of services to avoid preventable deaths. Therefore, gaining an in-depth understanding of mechanisms that lead to excess death is vital for improving future pandemic response efforts.

Vaccination status, incidence of adverse events, and awareness of COVID-19 vaccine among outpatients undergoing chemotherapy

BackgroundCancer has been identified as a risk factor for severe illness and mortality in coronavirus disease (COVID-19), underscoring the importance of recommending COVID-19 vaccinations to patients with cancer. However, few reports have focused on the vaccination status and the incidence of adverse events among patients with cancer. In this study, we aimed to evaluate the vaccination status, incidence of adverse events, concerns, and anxiety related to COVID-19 vaccination among patients with cancer. In addition, we explored the utilization of information sources by these patients and the ease of use.MethodsA survey was conducted among outpatients undergoing chemotherapy who received medication counseling from a pharmacist at Juntendo University Hospital. Responses were gathered from 60 out of the 143 participants. Of the respondents, 96.7% had received two doses of the COVID-19 vaccine.ResultsCommon adverse events included pain at the injection site, fever, and fatigue, which were experienced by nearly half of the respondents. Approximately 80% expressed some concern regarding vaccination, with predominant concerns about timing in the context of ongoing cancer treatment and surgery. Among the respondents, 41.7% consulted primary care physicians regarding the vaccine, with only one mentioning consultation with hospital pharmacists. Notably, primary care physicians were considered the most approachable and useful healthcare professionals.ConclusionsThese results suggest that patients with cancer can safely receive the vaccine, comparable to patients without cancer. However, they still harbor concerns, even when seeking advice from primary care physicians. Few patients consulted pharmacists about vaccination, highlighting an opportunity for pharmacist intervention. Pharmacists fostering trust with patients with cancer is imperative to explore pharmacist intervention methods to promote the continued administration of COVID-19 vaccines and enhance the quality of life for them.

Hemostatic and liver function parameters as COVID-19 severity markers

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann–Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p&lt;0.001), prothrombin time (p&lt;0.001), activated partial thromboplastin time (p&lt;0.001), D-dimer (p&lt;0.001), fibrinogen (p&lt;0.001), aspartate aminotransferase (p&lt;0.001), and alanine transaminase (p&lt;0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016–1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.