Risk factors for acute kidney injury in patients hospitalized with COVID-19 / Fatores de risco para lesão renal aguda em pacientes hospitalizados com COVID-19

Abstract Introduction: Acute kidney injury (AKI) occurs frequently in COVID-19 patients and is associated with greater morbidity and mortality. Knowing the risks of AKI allows for identification, prevention, and timely treatment. This study aimed to identify the risk factors associated with AKI in hospitalized patients. Methods: A descriptive, retrospective, cross-sectional, and analytical component study of adult patients hospitalized with COVID-19 from March 1 to December 31, 2020 was carried out. AKI was defined by the creatinine criteria of the KDIGO-AKI guidelines. Information, regarding risk factors, was obtained from electronic medical records. Results: Out of the 934 patients, 42.93% developed AKI, 60.59% KDIGO-1, and 9.9% required renal replacement therapy. Patients with AKI had longer hospital stay, higher mortality, and required more intensive care unit (ICU) admission, mechanical ventilation, and vasopressor support. Multivariate analysis showed that age (OR 1.03; 95% CI 1.02-1.04), male sex (OR 2.13; 95% CI 1.49-3.04), diabetes mellitus (DM) (OR 1.55; 95% CI 1.04-2.32), chronic kidney disease (CKD) (OR 2.07; 95% CI 1.06-4.04), C-reactive protein (CRP) (OR 1.02; 95% CI 1.00-1.03), ICU admission (OR 1.81; 95% CI 1.04-3.16), and vasopressor support (OR 7.46; 95% CI 3.34-16.64) were risk factors for AKI, and that bicarbonate (OR 0.89; 95% CI 0.84-0.94) and partial pressure arterial oxygen/inspired oxygen fraction index (OR 0.99; 95% CI 0.98-0.99) could be protective factors. Conclusions: A high frequency of AKI was documented in COVID-19 patients, with several predictors: age, male sex, DM, CKD, CRP, ICU admission, and vasopressor support. AKI occurred more frequently in patients with higher disease severity and was associated with higher mortality and worse outcomes.

RESUMO Introdução: Lesão renal aguda (LRA) ocorre frequentemente em pacientes com COVID-19 e associa-se a maior morbidade e mortalidade. Conhecer riscos da LRA permite a identificação, prevenção e tratamento oportuno. Este estudo teve como objetivo identificar fatores de risco associados à LRA em pacientes hospitalizados. Métodos: Realizou-se estudo descritivo, retrospectivo, transversal e de componente analítico de pacientes adultos hospitalizados com COVID-19 de 1º de março a 31 de dezembro, 2020. Definiu-se a LRA pelos critérios de creatinina das diretrizes KDIGO-LRA. Informações sobre fatores de risco foram obtidas de prontuários eletrônicos. Resultados: Dos 934 pacientes, 42,93% desenvolveram LRA, 60,59% KDIGO-1 e 9,9% necessitaram de terapia renal substitutiva. Pacientes com LRA apresentaram maior tempo de internação, maior mortalidade e necessitaram de mais internações em UTIs, ventilação mecânica e suporte vasopressor. A análise multivariada mostrou que idade (OR 1,03; IC 95% 1,02-1,04), sexo masculino (OR 2,13; IC 95% 1,49-3,04), diabetes mellitus (DM) (OR 1,55; IC 95% 1,04-2,32), doença renal crônica (DRC) (OR 2,07; IC 95% 1,06-4,04), proteína C reativa (PCR) (OR 1,02; IC 95% 1,00-1,03), admissão em UTI (OR 1,81; IC 95% 1,04-3,16) e suporte vasopressor (OR 7,46; IC 95% 3,34-16,64) foram fatores de risco para LRA, e que bicarbonato (OR 0,89; IC 95% 0,84-0,94) e índice de pressão parcial de oxigênio arterial/fração inspirada de oxigênio (OR 0,99; IC 95% 0,98-0,99) poderiam ser fatores de proteção. Conclusões: Documentou-se alta frequência de LRA em pacientes com COVID-19, com diversos preditores: idade, sexo masculino, DM, DRC, PCR, admissão em UTI e suporte vasopressor. LRA ocorreu mais frequentemente em pacientes com maior gravidade da doença e associou-se a maior mortalidade e piores desfechos.

Artificial Neural Network Prediction of COVID-19 Daily Infection Count.

This study addresses COVID-19 testing as a nonlinear sampling problem, aiming to uncover the dependence of the true infection count in the population on COVID-19 testing metrics such as testing volume and positivity rates. Employing an artificial neural network, we explore the relationship among daily confirmed case counts, testing data, population statistics, and the actual daily case count. The trained artificial neural network undergoes testing in in-sample, out-of-sample, and several hypothetical scenarios. A substantial focus of this paper lies in the estimation of the daily true case count, which serves as the output set of our training process. To achieve this, we implement a regularized backcasting technique that utilize death counts and the infection fatality ratio (IFR), as the death statistics and serological surveys (providing the IFR) as more reliable COVID-19 data sources. Addressing the impact of factors such as age distribution, vaccination, and emerging variants on the IFR time series is a pivotal aspect of our analysis. We expect our study to enhance our understanding of the genuine implications of the COVID-19 pandemic, subsequently benefiting mitigation strategies.

Causes and Effects of COVID-19 Vaccine Hesitancy Among Pregnant Women and its Association with Adverse Maternal, Placental, and Perinatal Outcomes.

Populations identified to be severely affected by COVID-19, such as pregnant patients, require special consideration in vaccine counseling, access, and provider education. Maternal infection with COVID-19 poses a significant risk to the maternal-fetal dyad with known adverse placenta destruction [1-5]. Despite the widespread access and availability of vaccinations, vaccine hesitancy continues to persist and is highly prevalent in pregnant populations [6-9]. Addressing the multitude of social ecological factors surrounding vaccine hesitancy can aid in providing holistic counseling [10]. However, such factors are foremost shaped by maternal concern over possible fetal effects from vaccination. While changes in policy can help foster vaccine access and acceptance, increasing global provider education and incorporation of motivational interviewing skills are the first steps towards increasing maternal acceptance.

Prevalence of Oropharyngeal Dysphagia and Its Value as a Prognostic Factor in Community-Acquired Pneumonia: A Prospective Case-Control Study.

BACKGROUND: Although oropharyngeal dysphagia (OD) is a common finding in patients with community-acquired pneumonia (CAP), specific recommendations are not provided in the current clinical guidelines. OBJECTIVES: To estimate the prevalence of OD and its associated factors among patients hospitalized for CAP and to assess one-year outcomes according to the presence or absence of OD. METHODS: We studied 226 patients hospitalized for CAP and 226 patients hospitalized for respiratory conditions other than CAP. We screened the risk of OD using the Eating Assessment Tool-10 (EAT-10), followed by the volume-viscosity swallow test (V-VST). RESULTS: A total of 122 (53.9%) patients with CAP had confirmed OD compared with 44 (19.4%) patients without CAP. Patients with CAP and OD were older (p < 0.001; 1.02-1.07) and had less familial/institutional support (p = 0.036; 0.12-0.91) compared to patients with CAP and no OD. OD was more prevalent as the CURB-65 score increased (p < 0.001). Patients with OD spent more time in the hospital (14.5 vs. 11.0 days; p = 0.038) and required more visits to the emergency room (ER). Twenty (16.4%) patients with CAP and OD died after discharge vs. one (0.8%) patient with CAP and no OD (p < 0.001; CI = 2.24-42.60). CONCLUSIONS: The prevalence of OD in hospitalized patients with CAP is higher than in patients hospitalized for other respiratory diagnoses. Advanced age, lower familial/institutional support, and increased CAP severity are associated with OD. Patients with CAP and OD are more frequent ER visitors after discharge and have a higher mortality. In patients with CAP and OD, aspiration pneumonia is likely underestimated.

COVID-19 surveillance report for Sudan, 2020 to 2021.

Background: Following the World Health Organization declaration, COVID-19 was first appearance in Sudan was in March 2020. Cases were reported to the Sudan Federal Ministry of Heath through the surveillance system from different sources. This study used surveillance data from 2020 to 2021 to describe the epidemiologic patterns of COVID-19 occurrence in Sudan and provide insight for better preparedness and response. Methods: Through a retrospective descriptive study, COVID19 cases records obtained from the national surveillance line-list in Surveillance and Information Directorate in Federal Ministry of Health. The analysis of data was done with SPSS version 21. Descriptive analysis done by frequencies and percentages, and further analysis through performing multivariate logistic regression. Results: Out of 48,545 suspected cases tested for COVID-19 using RT-PCR, 27,453 (56.5%) tested positive with case fatality ratio of 6.5%. Higher death rate among elderly (78% > 60-year-old) and males (70.1%). From the reported cases, 53.8% showed no symptoms, while the common symptoms among symptomatic patients were; fever (26.4%), cough (19.1%), shortness of breath (16.8%) with small proportion (4.5%) reported loss of smell and taste. Specific states, Khartoum, Gezira and Red Sea showed highest prevalence. The disease peaked four times during 2020-2021, with a proposed alert threshold of 200-250 cases per week acting as an explosion point nationwide. Conclusions: The high case fatality rate in the country requires further analysis, as well as the high proportion of asymptomatic infection. This will be ensured by improving the quality and completeness of surveillance data. A proposed threshold of 200-250 cases per week should be an alert to augment the measures of controlling the pandemic over the country, including providing enough supplies to decrease mortality.

Determinants and Magnitude of Neonatal Sepsis at Hiwot Fana Comprehensive Specialized University Hospital, in Eastern Ethiopia: A Cross-Sectional Study.

Background: Neonatal sepsis is a serious blood bacterial infection in neonates at the age of equal to or less than 28 days of life, and it's still the major significant cause of death and long-term morbidity in developing countries. Objective: This study aimed to assess the prevalence and related factors with neonatal sepsis among newborns admitted to the neonatal intensive care unit at Hiwot Fana Comprehensive Specialized University Hospital, Harar, Ethiopia. Methods: An institutional-based retrospective cross-sectional study design was conducted among 386 neonates admitted to Neonatal Intensive Care Unit from September 2017 to August 2019. A systematic random sampling method was used. Data were analyzed using SPSS V.26. Descriptive summary statistics were done. Bivariate regression and multivariate analysis were computed. Variables with P-value <.05 were declared as having a statistically significant association. Result: The prevalence of neonatal sepsis was 53.1%. Among the total neonates who had sepsis, 67.8% had early neonatal sepsis. Among neonatal factors, preterm neonates (AOR: 8.1, 95%CI: 2.1, 31.2), birth asphyxia (AOR: 4.7, 95%CI: 1.6, 13.6); and among maternal factors, urban residence (AOR: 0.26, 95%CI: 0.1, 0.5), antenatal care attendance (AOR: 0.32, 95%CI: 0.2, 0.6), spontaneous vaginal delivery (AOR: 0.047, 95%CI: 0.01, 0.2), and maternal antibiotic use (AOR: 0.39; 95%CI: 0.2, 0.8) were found to have significant association with neonatal sepsis. Conclusion: Overall, the magnitude of neonatal sepsis was high. Provision of neonatal and obstetrics care as per standard during prenatal, intranatal, and postnatal periods is needed. Training of health professionals on infection prevention and safe delivery practice should be provided.

Urinary metabolic characterization of advanced tuberculous meningitis cases in a South African paediatric population.

Tuberculous meningitis (TBM) is a severe form of tuberculosis with high neuro-morbidity and mortality, especially among the paediatric population (aged ≤12 years). Little is known of the associated metabolic changes. This study aimed to identify characteristic metabolic markers that differentiate severe cases of paediatric TBM from controls, through non-invasive urine collection. Urine samples selected for this study were from two paediatric groups. Group 1: controls (n = 44): children without meningitis, no neurological symptoms and from the same geographical region as group 2. Group 2: TBM cases (n = 13): collected from paediatric patients that were admitted to Tygerberg Hospital in South Africa on the suspicion of TBM, mostly severely ill; with a later confirmation of TBM. Untargeted 1H NMR-based metabolomics data of urine were generated, followed by statistical analyses via MetaboAnalyst (v5.0), and the identification of important metabolites. Twenty nine urinary metabolites were identified as characteristic of advanced TBM and categorized in terms of six dysregulated metabolic pathways: 1) upregulated tryptophan catabolism linked to an altered vitamin B metabolism; 2) perturbation of amino acid metabolism; 3) increased energy production-metabolic burst; 4) disrupted gut microbiota metabolism; 5) ketoacidosis; 6) increased nitrogen excretion. We also provide original biological insights into this biosignature of urinary metabolites that can be used to characterize paediatric TBM patients in a South African cohort.

COVID-19 Immunologic Antiviral Therapy With Omalizumab (CIAO)-a Randomized Controlled Clinical Trial.

Background: Omalizumab is an anti-immunoglobulin E monoclonal antibody used to treat moderate to severe chronic idiopathic urticaria, asthma, and nasal polyps. Recent research suggested that omalizumab may enhance the innate antiviral response and have anti-inflammatory properties. Objective: We aimed to investigate the efficacy and safety of omalizumab in adults hospitalized for coronavirus disease 2019 (COVID-19) pneumonia. Methods: This was a phase II randomized, double blind, placebo-controlled trial comparing omalizumab with placebo (in addition to standard of care) in hospitalized patients with COVID-19. The primary endpoint was the composite of mechanical ventilation and/or death at day 14. Secondary endpoints included all-cause mortality at day 28, time to clinical improvement, and duration of hospitalization. Results: Of 41 patients recruited, 40 were randomized (20 received the study drug and 20 placebo). The median age of the patients was 74 years and 55.0% were male. Omalizumab was associated with a 92.6% posterior probability of a reduction in mechanical ventilation and death on day 14 with an adjusted odds ratio of 0.11 (95% credible interval 0.002-2.05). Omalizumab was also associated with a 75.9% posterior probability of reduced all-cause mortality on day 28 with an adjusted odds ratio of 0.49 (95% credible interval, 0.06-3.90). No statistically significant differences were found for the time to clinical improvement and duration of hospitalization. Numerically fewer adverse events were reported in the omalizumab group and there were no drug-related serious adverse events. Conclusions: These results suggest that omalizumab could prove protective against death and mechanical ventilation in hospitalized patients with COVID-19. This study could also support the development of a phase III trial program investigating the antiviral and anti-inflammatory effect of omalizumab for severe respiratory viral illnesses requiring hospital admission. ClinicalTrials.gov ID: NCT04720612.

Evolving AIDS- and non-AIDS Mortality and Predictors in the PISCIS Cohort of People Living With HIV in Catalonia and the Balearic Islands (Spain), 1998-2020.

Background: Effective antiretroviral therapy (ART) has substantially reduced acquired immunodeficiency syndrome (AIDS)-related deaths, shifting the focus to non-AIDS conditions in people living with human immunodeficiency virus (HIV) (PLWH). We examined mortality trends and predictors of AIDS- and non-AIDS mortality in the Population HIV Cohort from Catalonia and Balearic Islands (PISCIS) cohort of PLWH from 1998 to 2020. Methods: We used a modified Coding Causes of Death in HIV protocol, which has been widely adopted by various HIV cohorts to classify mortality causes. We applied standardized mortality rates (SMR) to compare with the general population and used competing risks models to determine AIDS-related and non-AIDS-related mortality predictors. Results: Among 30 394 PLWH (81.5% male, median age at death 47.3), crude mortality was 14.2 per 1000 person-years. All-cause standardized mortality rates dropped from 9.6 (95% confidence interval [CI], 8.45-10.90) in 1998 through 2003 to 3.33 (95% CI, 3.14-3.53) in 2015 through 2020, P for trend = .0001. Major causes were AIDS, non-AIDS cancers, cardiovascular disease, AIDS-defining cancers, viral hepatitis, and nonhepatitis liver disease. Predictors for AIDS-related mortality included being aged ≥40 years, not being a man who have sex with men, history of AIDS-defining illnesses, CD4 < 200 cells/µL, ≥2 comorbidities, and nonreceipt of ART. Non-AIDS mortality increased with age, injection drug use, heterosexual men, socioeconomic deprivation, CD4 200 to 349 cells/µL, nonreceipt of ART, and comorbidities, but migrants had lower risk (adjusted hazard risk, 0.69 [95% CI, .57-.83]). Conclusions: Mortality rates among PLWH have significantly decreased over the past 2 decades, with a notable shift toward non-AIDS-related causes. Continuous monitoring and effective management of these non-AIDS conditions are essential to enhance overall health outcomes.

[The predictive value of dynamic changes of neutrophil/lymphocyte ratio (NLR) combined with the model of end-stage liver disease (MELD) score in patients with acute-on-chronic hepatitis B liver failure].

Objective: To determine the predictive value of dynamic changes of neutrophil/lymphocyte ratio (NLR) combined with the model of end-stage liver disease (MELD) score in patients with acute-on-chronic hepatitis B liver failure. Methods: Patients with acute-on-chronic hepatitis B liver failure who were hospitalized in the Department of Hepatology of Qilu Hospital of Shandong University from January 2010 to July 2023 were retrospectively enrolled. According to the clinical outcomes of patients within 30 days of admission, they were divided into the survival group and the death group. The dynamic changes in NLR and initial values on day 3, 5, 8, and 12 in two groups were analyzed for the diagnostic value of 30-day prognosis in patients with acute-on-chronic hepatitis B liver failure. Logistic regression analysis and machine learning XGBoost algorithm were used to evaluate the risk factors influencing the prognosis of patients at 30 days. Receiver operating characteristic(ROC) curve was used to evaluate the diagnostic value of NLR and initial value change combined with MELD score on day 12 of admission in patients with chronic acute hepatitis B liver failure. Results: A total of 243 patients were enrolled in the study, including 145 patients in the survival group [115 males, 30 females, aged 25-74 (47±11)] and 98 patients in the death group [80 males, 18 females, aged 22-80 (49±13) ]. The median initial NLR of survival group and death group were 3.5 (2.1, 5.3) and 4.9 (2.9, 8.3), respectively, and the difference was statistically significant (P=0.003). The variation of NLR from the initial value on day 3, 5, 8, and 12 in the survival group [1.6 (0, 4.3), 1.9 (-0.2, 4.1), 2.0 (-0.1, 4.3) and 2.9 (0.3, 7.0), respectively] were lower than that in the death group [3.2 (0.9, 7.5), 5.1 (1.8, 7.6), 5.8 (2.0, 10.6) and 9.6 (3.5, 16.4), respectively] (all P<0.001). Logistic regression multivariate analysis showed that the changes in NLR on the 12th day and initial value (OR=1.07,95%CI:1.01-1.14, P=0.014), the changes in NLR on the 3rd day and initial value (OR=2.71, 95%CI: 1.32-5.55, P=0.007), the initial value of NLR (OR=1.18,95%CI:1.01-1.37,P=0.035) and fibrinogen (OR=0.21,95%CI:0.05-0.96,P=0.044) were related factors for death within 30 days. Machine learning XGBoost algorithm showed that the weight of the change between the NLR on the 12th day and the initial value was the highest. The area under the ROC curve of the combined MELD score was 0.812 (95%CI: 0.728-0.895), the specificity was 67.78%, and the sensitivity was 82.35%. Conclusion: Dynamic change of NLR combined with MELD score has high predictive value for the short-term prognosis of patients with acute-on-chronic hepatitis B liver failure.

Impacts of the COVID-19 Pandemic on the CODE ST-Segment Elevation Myocardial Infarction Program: A Quantitative and Qualitative Analysis.

BACKGROUND: The code ST-segment elevation myocardial infarction (STEMI) program is an operational standard of integrated service for STEMI patients carried out by Dr. Cipto Mangunkusumo Hospital. The emerging coronavirus disease 2019 (COVID-19) outbreak brought about many changes in the management of healthcare services, including the code STEMI program. This study aimed to evaluate the healthcare service quality of the Code STEMI program during the COVID-19 pandemic based on the Donabedian concept.  Methods: This was a mixed-methods study using quantitative and qualitative analyses. It was conducted at the Dr. Cipto Mangunkusumo Hospital, a national referral hospital in Indonesia. We compared the data of each patient, including response time, clinical outcomes, length of stay, and cost, from two years between 2018-2020 and 2020-2022 as the pre-COVID-19 code STEMI and COVID-19 Code STEMI periods, respectively. Interviews were conducted to determine the quality of services from the perspectives of stakeholders. RESULTS: A total of 195 patients participated in the study: 120 patients in pre-COVID-19 code STEMI and 75 patients in COVID-19 code STEMI. Our results showed that there was a significant increase in patient's length of stay during the COVID-19 pandemic (4 days vs. 6 days, p < 0.001). Meanwhile, MACE (13% vs. 11%, p = 0.581), the in-hospital mortality rate (8% vs. 5%, p = 0.706), door-to-wire crossing time (161 min vs. 173 min, p = 0.065), door-to-needle time (151 min vs. 143 min p = 0.953), and hospitalization cost (3,490 USD vs. 3,700 USD, p = 0.945) showed no significant changes. In terms of patient satisfaction, patients found code STEMI during COVID-19 to be responsive and excellent. CONCLUSION: The implementation of the code STEMI program during the COVID-19 pandemic revealed that modified pathways were required because of the COVID-19 screening process. According to the Donabedian model, during the pandemic, the code STEMI program's healthcare service quality decreased because of a reduction in efficacy, effectiveness, efficiency, and optimality. Despite these limitations attributed to the pandemic, the code STEMI program was able to provide good services for STEMI patients.

Managing infectious diarrhea among young children in community pharmacies in Saudi Arabia and the implications for AMR.

Introduction: Diarrhea remains a major global health issue for children under five, contributing substantially to morbidity and mortality. Community pharmacists play a pivotal role in the management of these children; however, their competence in managing childhood diarrhea in Saudi Arabia is under-researched. This is important to ensure optimal patient care. Method: Simulated patients (SPs) presenting with three pediatric diarrhea scenarios were used to evaluate pharmacists' practice in terms of their counselling, history taking, over-the-counter (OTC) prescribing, medication instructions, diet/fluid advice, and/or information provision. Pharmacists' practice was categorized into adequate, less adequate, and poor. Results: 182 community pharmacists, primarily male and non-Saudi, participated in the study, of which 60% were in chain pharmacies. Only 5% showed adequate practice in currently managing pediatric diarrhea. Of the 182 simulated patient visits, 62% received medication in all three scenarios and 20% were referred to physicians, with 16% of pharmacists failing to provide any form of intervention. The main medications recommended were kaolin (34%), pectin (34%) and metronidazole (11%). While most pharmacists (86%) asked about the patient's identity and age, 15% provided incorrect management information, 16% failed to provide guidance on the prescribed medicines, and 18% dispensed antimicrobials without a valid prescription. Conclusion: A high level of inadequate management of pediatric diarrhea in Saudi Arabia was observed. This highlights the need for extensive training to improve community pharmacists' practice in service delivery including providing counselling and advice on the appropriate management of childhood diarrhea. The latter is particularly important to reduce antimicrobial resistance.

Active tuberculosis incidence among treatment failure experienced patients in North Wollow Zone: A multicenter historical cohort.

Background: In Ethiopia, tuberculosis (TB) is a significant cause of death among individuals living with HIV, especially in resource-limited areas and those who have experienced treatment failure. However, there is the paucity of data regarding TB among treatment failures experienced people living with HIV. This study aimed to estimate the rate and identify predictors of tuberculosis among patients who received second-line treatment in North Wollo, Northeast Ethiopia. Methods: A retrospective follow-up study was conducted on 474 HIV-infected patients who experienced treatment failure. The study period ranged from January 2015 to September 30, 2021. The incidence of TB was assessed using a Cox proportional hazard regression model, after ensuring that all assumptions were met. Factors associated with active TB were determined by analyzing adjusted hazard ratios and 95% confidence intervals. Results: In a study of 474 HIV-positive patients on second-line antiretroviral treatment, we found an incidence rate of 3.6% with 17 new cases of TB observed over 4412.4 persons per year (PPY). The overall incidence density rate was estimated to be 0.39 cases per 100 PPY (95% CI: 0.239-0.618). Regarding the occurrence of active TB in second-line patients, WHO clinical treatment stage (T3 and T4), missed isoniazid preventive therapy had a significantly higher risk (AHR: 13.225, 95% CI: 2.894-60.434, p = 0.001), while being married was associated with a lower risk (AHR: 0.203, 95% CI: 0.045-0.907, p = 0.001). Conclusion: A high incidence of active TB was observed shortly after initiating second-line antiretroviral treatment. Factors such as being in the WHO clinical treatment stage (T3 and T4) and marital status were determinants for active TB. To improve overall survival rates, it is vital to enhance early TB screening and implement effective isoniazid preventive therapy.

The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach.

Introduction: Studies from different parts of the world have shown that some comorbidities are associated with fatal cases of COVID-19. However, the prevalence rates of comorbidities are different around the world, therefore, their contribution to COVID-19 mortality is different. Socioeconomic factors may influence the prevalence of comorbidities; therefore, they may also influence COVID-19 mortality. Methods: This study conducted feature analysis using two supervised machine learning classification algorithms, Random Forest and XGBoost, to examine the comorbidities and level of economic inequalities associated with fatal cases of COVID-19 in Mexico. The dataset used was collected by the National Epidemiology Center from February 2020 to November 2022, and includes more than 20 million observations and 40 variables describing the characteristics of the individuals who underwent COVID-19 testing or treatment. In addition, socioeconomic inequalities were measured using the normalized marginalization index calculated by the National Population Council and the deprivation index calculated by NASA. Results: The analysis shows that diabetes and hypertension were the main comorbidities defining the mortality of COVID-19, furthermore, socioeconomic inequalities were also important characteristics defining the mortality. Similar features were found with Random Forest and XGBoost. Discussion: It is imperative to implement programs aimed at reducing inequalities as well as preventable comorbidities to make the population more resilient to future pandemics. The results apply to regions or countries with similar levels of inequality or comorbidity prevalence.

Identification and Analysis of PANoptosis-Related Genes in Sepsis-Induced Lung Injury by Bioinformatics and Experimental Verification.

Purpose: Sepsis-induced lung injury (SLI) is a serious complication of sepsis. PANoptosis, a novel form of inflammatory programmed cell death that is not yet to be fully investigated in SLI. Our research aims to screen and validate the signature genes of PANoptosis in SLI by bioinformatics and in vivo experiment. Methods: SLI-related datasets were downloaded from NCBI Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) of SLI were identified and intersected with the PANoptosis gene set to obtain DEGs related to PANoptosis (SPAN_DEGs). Then, Protein-Protein Interaction (PPI) network and functional enrichment analysis were conducted based on SPAN_DEGs. SVM-REF, LASSO and RandomForest three algorithms were combined to identify the signature genes. The Nomogram and ROC curves were performed to predict diagnostic value. Immune infiltration analysis, correlation analysis and differential expression analysis were used to explore the immunological characterization, correlation and expression levels of the signature genes. Finally, H&E staining and qRT-PCR were conducted for further verification in vivo experiment. Results: Twenty-four SPAN_DEGs were identified by intersecting 675 DEGs with the 277 PANoptosis genes. Four signature genes (CD14, GSDMD, IL1ß, and FAS) were identified by three machine learning algorithms, which were highly expressed in the SLI group, and had high diagnostic value in the diagnostic model. Moreover, immune infiltration analysis showed that most immune cells and immune-related functions were higher in the SLI group than those in the control group and were closely associated with the signature genes. Finally, it was confirmed that the cecum ligation and puncture (CLP) group mice showed significant pathological damage in lung tissues, and the mRNA expression levels of CD14, IL1ß, and FAS were significantly higher than the sham group. Conclusion: CD14, FAS, and IL1ß may be the signature genes in PANoptosis to drive the progression of SLI and involved in regulating immune processes.

The impact of the COVID-19 pandemic on non-COVID-associated mortality: A descriptive longitudinal study of UK data.

Background: It has been previously reported in the literature that the COVID-19 pandemic resulted in overall excess deaths and an increase in non-COVID deaths during the pandemic period.Specifically, our research elucidates the impact of the COVID-19 pandemic on non-COVID associated mortality. Study aim: To compare mortality rates in non-COVID conditions before and after the onset of the COVID-19 pandemic in England and Wales. Study design: Annual mortality data for the years 2011-2019 (pre-pandemic) and 2020 (pandemic) in England and Wales were retrieved from the Office for National Statistics (ONS). These data were filtered by ICD-10 codes for nine conditions with high associated mortality. We calculated mortality numbers - overall and age stratified (20-64 and 65+ years) and rates per 100 000, using annual mid-year population estimates. Methods: Interrupted time series analyses were conducted using segmented quasi-Poisson regression to identify whether there was a statistically significant change (p < 0.05) in condition-specific death rates following the pandemic onset. Results: Eight of the nine conditions investigated in this study had significant changes in mortality rate during the pandemic period (2020). All-age mortality rate was significantly increased in: 'Symptoms Signs and Ill-defined conditions', 'Cirrhosis and Other Diseases of the Liver', and 'Malignant Neoplasm of the Breast', whereas 'Chronic Lower Respiratory Disorders' saw a significant decrease. Age-stratified analyses also revealed significant increases in the 20-64 age-group in: 'Cerebrovascular Disorders', 'Dementia and Alzheimer's Disease', and 'Ischaemic Heart Diseases'. Conclusion: Trends in non-COVID condition-specific mortality rates from 2011 to 2020 revealed that some non-COVID conditions were disproportionately affected during the pandemic. This may be due to the direct impact COVID-19 had on these conditions or the effect the public health response had on non-COVID risk factor development and condition-related management. Further work is required to understand the reasons behind these disproportionate changes.

Factors associated with intention to be vaccinated with the COVID-19 booster dose: a cross-sectional study in Peru.

Introduction: The pandemic of COVID-19 continues to impact people worldwide, with more than 755 million confirmed cases and more than 6.8 million reported deaths. Although two types of treatment, antiviral and immunomodulatory therapy, have been approved to date, vaccination has been the best method to control the spread of the disease. Objective: To explore factors associated with the intention to be vaccinated with the COVID-19 booster dose in Peru. Material and Methods: Cross-sectional study, using virtual and physical surveys of adults with two or more doses of COVID-19 vaccine, where the dependent variable was the intention to be vaccinated (IBV) with the booster dose. We calculated prevalence ratios with 95% confidence intervals, using generalized linear models of the Poisson family with robust varying, determining associations between sociodemographic, clinical, and booster dose perception variables. Results: Data from 924 adults were analyzed. The IBV of the booster doses was 88.1%. A higher prevalence was associated with being male (aPR = 1.05; 95% CI [1.01-1.10]), having a good perception of efficacy and protective effect (PR = 3.69; 95% CI [2.57-5.30]) and belonging to the health sector (PR = 1.10; 95% CI [1.04-1.16]). There was greater acceptance of the recommendation of physicians and other health professionals (aPR = 1.40; 95% CI [1.27-1.55]). Conclusions: Factors associated with higher IBV with booster dose include male gender, health sciences, physician recommendation, and good perception of efficacy.

A scoping review of triatomine control for Chagas disease prevention: current and developing tools in Latin America and the United States.

Chagas disease is an infectious disease of human and animal health concern, with 6-8 million chronic human infections and over 50,000 deaths throughout the Americas annually. Hematophagous insects of the subfamily Triatominae, also called kissing bugs, vector the protozoan parasite, Trypanosoma cruzi Chagas (Trypanosomatida: Trypanosomatidae), that causes Chagas disease. Despite the large human health burden, Chagas disease is a neglected tropical disease with inadequate funding for research and preventive practices. Given the resource-poor environment of most agencies trying to protect public health, it is critical to consider all control options for reducing vector populations and the risk of human exposure to T. cruzi to identify the most appropriate tools for each context. While numerous triatomine control methods exist, the literature lacks a compilation of the strategies used, a critical examination of their efficiency, and a particular focus on triatomine control in the United States compared to elsewhere in the Americas. Here, we present a review of the literature to assess historical intervention strategies of existing and developing triatomine control methods. For each method, we discuss progress in the field, future research to further advance the method, and limitations. While we found that pyrethroid insecticide is still the most commonly used method of triatomine and Chagas disease control, we suggest that complementing these techniques with alternative control methods in development will help to achieve Chagas disease reduction goals.

Hospital Outcomes Among Children With Congenital Heart Disease and Adenovirus Pneumonia.

BACKGROUND: The aim of the study is to evaluate the mortality risk factors and hospitalization outcomes of adenovirus pneumonia in pediatric patients with congenital heart disease. METHODS: In this retrospective multicenter cohort study utilizing the Pediatric Health Information System database, we analyzed congenital heart disease patients with adenovirus pneumonia from January 2004 to September 2018, categorizing them into shunts, obstructive lesions, cyanotic lesions and mixing lesions. Multivariate logistic regression analysis was employed to identify mortality risk factors with 2 distinct models to mitigate collinearity issues and the Mann-Whitney U test was used to compare the hospital length of stay between survivors and nonsurvivors across these variables. RESULTS: Among 381 patients with a mean age of 3.2 years (range: 0-4 years), we observed an overall mortality rate of 12.1%, with the highest mortality of 15.1% noted in patients with shunts. Model 1 identified independent factors associated with increased mortality, including age 0-30 days (OR: 8.13, 95% CI: 2.57-25.67, P < 0.005), sepsis/shock (OR: 3.34, 95% CI: 1.42-7.83, P = 0.006), acute kidney failure (OR: 4.25, 95% CI: 2.05-13.43, P = 0.0005), shunts (OR: 2.95, 95% CI: 1.14-7.67, P = 0.03) and cardiac catheterization (OR: 6.04, 95% CI: 1.46-24.94, P = 0.01), and Model 2, extracorporeal membrane oxygenation (OR: 3.26, 95% CI: 1.35-7.87, P = 0.008). Nonsurvivors had a median hospital stay of 47 days compared to 15 days for survivors. CONCLUSION: The study revealed a 12.1% mortality rate in adenoviral pneumonia among children with congenital heart disease, attributed to risk factors such as neonates, sepsis, acute kidney failure, shunts, cardiac catheterization, extracorporeal membrane oxygenation use and a 3-fold longer hospital stay for nonsurvivors compared to survivors.

Changing global epidemiology of chronic hepatitis C virus-related outcomes from 2010 to 2019: cirrhosis is the growing burden of hepatitis C virus-related disease.

BACKGROUND: Chronic infection with hepatitis C virus (HCV) has a long-term impact on hepatic consequences. A comprehensive evaluation of the global burden of HCV-related health outcomes can help to develop a global HCV prevention and treatment program. METHODS: We used the 2019 Global Burden of Disease (GBD) Study to comprehensively investigate burden and temporal trends in incidence, mortality and disability-adjusted life-years (DALYs) of HCV-related diseases, including liver cancer and cirrhosis and other liver diseases across 264 countries and territories from 2010 to 2019. RESULTS: Globally, there were 152 225 incident cases, 141 811 deaths and approximately 2.9 million DALYs because of HCV-related liver cancer, and 551 668 incident cases, 395 022 deaths and about 12.2 million DALYs because of HCV-related cirrhosis in 2019. Worldwide, during the 2010-2019 period, liver cancer incidence declined, however, there was a 62% increase in cirrhosis incidence. In 2019, the Eastern Mediterranean was the region with the highest rates of incidence and mortality of both liver cancer and cirrhosis. Africa was the region with the fastest-growing trend of incidence of cirrhosis in the 2010-2019 period [annual percentage change (APC) = 2.09, 95% confidence interval (CI): 1.93-2.25], followed by the Western Pacific region (APC = 1.17, 95% CI: 1.09-1.22). Americas were the only region observing increased trends in liver cancer and cirrhosis mortality (APC = 0.70 and 0.12, respectively). We identified three patterns of temporal trends of mortality rates of liver cancer and cirrhosis in countries that reported HCV treatment rates. CONCLUSION: Urgent measures are required for diagnosis, treatment and research on HCV-related cirrhosis at global, regional and country levels, particularly in Africa, the Western Pacific and the Eastern Mediterranean.