Epidemiological Variables Research Articles

INCIDÊNCIA E CARACTERÍSTICAS CLÍNICO-EPIDEMIOLÓGICAS DA TUBERCULOSE EM IMPERATRIZ – MA

INTRODUCTION: Tuberculosis (TB) is an infectious disease transmitted by Mycobacterium tuberculosis, which spreads through the airways when infected individuals cough, sneeze or speak, releasing aerosols containing active bacilli. OBJECTIVE: To analyze the incidence and clinical-epidemiological characteristics of tuberculosis in Imperatriz - Ma, between 2019 and 2023. MATERIALS AND METHODS: Descriptive epidemiological study, with a quantitative approach, carried out from compulsory notifications of new cases of the disease available via DATASUS. The incidence coefficients were calculated for each year of the disease. The epidemiological variables were treated using descriptive statistics. RESULTS: During the period under investigation, 447 new cases of tuberculosis were reported in the city of Imperatriz. The detection rate of new cases was higher in 2022 and lower in 2021. Regarding the epidemiological characteristics, most cases were male, brown race/color, pulmonary clinical form, first positive sputum culture, negative TB/HIV coinfection, DOT not performed, non-smoker, non-alcoholic and with evolution to cure. In addition, the age group of 20 to 29 years, incomplete 5th to 8th grade of PE and 6th month bacilloscopy not performed stood out. FINAL CONSIDERATIONS: It is essential to invest in strategies that expand access and adherence to treatment, promote a more humanized approach in patient monitoring, and develop intersectoral actions to address socioeconomic and educational barriers.

Type II diabetes and cognitive function among older adults in India and China—results from Harmonized Cognitive Assessment Protocol studies

ObjectiveType II diabetes is a recognized risk factor of declining cognitive function in high-income countries. However, there is limited research on this association across low- and middle-income countries. We aimed to examine and compare the relationship between type II diabetes and cognition amongst adults aged 60 years and older for two of the largest LMICs: India and China.MethodsCross-sectional data was analyzed from population-based Harmonized Cognitive Assessment Protocols studies in India (n = 4,062) and China (n = 9,741). Multivariable-adjusted linear regression models examined the relationship between diabetes (self-reported or biomarker HbA1c ≥6.5%) and general cognition. Interaction testing assessed effect modification based on urban versus rural residence and educational attainment.ResultsType II diabetes was not associated with general cognitive scores in India or China in fully adjusted models. Interaction testing revealed a positive association in rural but not urban residences in India, however this was not seen in China. Both countries showed effect modification by education attainment. In India, diabetes was associated with higher average cognitive scores among those with none or early childhood education, while the relationship was null among those with at least an upper secondary education. In China, diabetes was inversely related to average cognitive scores among those with less than lower secondary education, while the relationship was null among the remainder of the study sample.ConclusionThe type II diabetes and cognitive function association in India and China differs from that observed in high-income countries. These findings suggest epidemiologic and nutrition transition variations. In India, health care access, urbanization and social differences between urban and rural areas may influence this relationship. In both countries, epidemiologic and nutrition patterns may adversely impact individuals from socially and financially vulnerable populations with less than lower secondary education. Longitudinal research using harmonized cognitive scores is encouraged to further investigate these findings.

Addressing data quality issues to assess clinical and epidemiological risk factors for COVID-19 among documented cases in Liberia: a single-centre, retrospective, observational study

IntroductionIdentification of risk factors for severe COVID-19 can help to inform case management in resource-constrained settings. We aimed to rigorously but retroactively address data issues to identify risk factors for...

Molecular detection of Epstein-Barr virus in paraffin-embedded tissue samples of patients suffering gastric cancer in Ahvaz, Iran: a case-control study.

Gastric cancer (GC) is the third most common cause of cancer-related mortality. Epstein-Barr virus (EBV) is associated with several human tumors. The present research was performed to investigate the prevalence of EBV-associated gastric cancer (EBVaGC) among Iranian patients. Seventy cases of gastric cancer and 30 cases of gastric ulcer, all preserved in formalin-fixed paraffin-embedded (FFPE), were examined in a case-control study conducted between 2011 and 2018. The specimens underwent analysis to detect the presence of the EBV genome using a Nested-PCR method targeting EBNA1. Subsequently, samples testing positive for the EBNA1 underwent further testing for the presence of the EBER gene using PCR. Finally, Positive samples were subjected to sequencing. Five out of 70 cases (7%) were found to be positive for EBV based on EBNA1 testing, while all EBNA1 positive samples were negative for EBER. Notably, EBV was not detected in patients with gastric ulcer. The mean age of EBV-positive gastric carcinomas pateints was 64.5 years. Within this group, 60% were male and 40% were female. A higher prevalence of EBV association was observed in diffuse-type cases, with 60% (3 out of 24) testing positive, compared to intestinal-type cases where 40% (2 out of 46) were EBV-positive. Most cases of EBVaGC belonged to grade Ⅰ. This research demonstrates a low prevalence of EBVaGC in Iran. Discrepancies in EBVaGC occurrence among countries could be attributed to epidemiological variables and dietary practices. A comprehensive studies will provide significant contributions to understanding of its etiology.

Numerical Simulation of SEIR Model for COVID-19 Infection

One of the most basic models in epidemiology, the SEIR (Susceptible-Exposed-Infectious-Recovered) model explains how viral infections spread through communities. This study analyzes the SEIR model's differential equations to learn more about its dynamic behaviors. This study discusses the 2019 corona virus disease (COVID-19) epidemic model using numerical methods of susceptible exposed infected recovered (SEIR). A numerical description of the notion is provided using two numerical approaches, including forward Euler and RK-4 approaches. The subplots of SEIR model are drawn by ode 45 commands. The stability of disease free equilibrium and Endemic equilibrium points are depicted. The significance of comprehending the interaction between epidemiological variables and population dynamics in developing efficient public health treatments is brought to light in this study, which investigates the consequences of these equations on the transmission and management of infectious diseases. Insights into the dynamics of illness transmission and potential measures for mitigating its effects are presented through the use of mathematical analysis and computational simulations. Jagannath University Journal of Science, Volume 11, Number 1, June 2024, pp. 172−185

SARS-CoV-2 variant survey: Comparison of RT-PCR screening with TGS and variant distribution across two divisions of Bangladesh.

The widespread increase in multiple variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) since 2020 is causing significant health concerns worldwide. While whole-genome sequencing (WGS) has played a leading role in surveillance programs, many local laboratories lack the expertise and resources. Thus, we aimed to investigate the circulating SARS-CoV-2 variants and evaluate the performance of multiplexed real-time reverse transcription-PCR (RT-PCR) for screening and monitoring the emergence of new SARS-CoV-2 variants in Bangladesh. A total of 600 confirmed SARS-CoV-2-positive cases were enrolled either prospectively or retrospectively from two divisions of Bangladesh. The samples were screened by variant RT-PCR targeting five mutations of the spike gene (N501Y, P681R, L452R, E484K, E484Q). A subsample of the study population was also selected for third-generation sequencing (TGS) and the results were compared to the variant RT-PCR screening. An in-depth comparison was made between the two methods in terms of congruence and cost-benefit. Seven variants were detected among samples, with similar distributions of the variants across both divisions. Variant RT-PCR for the targeted mutations lead to a 98.5% call rate; only nine samples failed to be determined. No association was found regarding the demographic features, clinical criteria, or routine RT-PCR Ct values across the variants. The clade diversity of the sequenced subpopulation (n = 99) exhibited similar distributions across the two study sites and other epidemiologic variables. Variant RT-PCR successfully distinguished variants of concern (VOCs) and variants of interest (VOIs); however, 8% discrepancy was observed for the closest lineages. Moreover, the variant RT-PCR represented an ideal balance of cost, time, and accuracy that outweigh their limitations. Based on the strong agreement of variant RT-PCR with TGS, such rapid, easily accessible approaches of rapid strain typing are essential in the context of pandemic responses to guide both treatment decisions and public health measures.

Sex disparities in the prevalence, incidence, and management of diabetes mellitus: an Australian retrospective primary healthcare study involving 668,891 individuals

BackgroundIn Australia, diabetes is the fastest growing chronic condition, with prevalence trebling over the past three decades. Despite reported sex differences in diabetes outcomes, disparities in management and health targets remain unclear. This population-based retrospective study used MedicineInsight primary healthcare data to investigate sex differences in diabetes prevalence, incidence, management, and achievement of health targets.MethodsAdults (aged ≥ 18 years) attending 39 general practices in Western Australia were included. Diabetes incidence and prevalence were estimated by age category. Health targets assessed included body mass index (BMI), blood pressure, blood lipids, and glycated haemoglobin (HbA1c) levels. Medical management of diabetes-associated conditions was also investigated. Time-to-incident diabetes was modelled using a Weibull regression. A multilevel mixed-effects logistic regression model investigated risk-adjusted sex differences in achieving the HbA1c health target (HbA1c ≤ 7.0% (≤ 53 mmol/mol)).ResultsRecords of 668,891 individuals (53.4% women) were analysed. Diabetes prevalence ranged from 1.3% (95% confidence interval (CI) 1.2%-1.3%) in those aged < 50 years to 7.2% (95% CI 7.1%-7.3%) in those aged ≥ 50 years and was overall higher in men. In patients younger than 30 years, incidence was higher in women, with this reversing after the age of 50. Among patients with diabetes, BMI ≥ 35 kg/m2 was more prevalent in women, whereas current and past smoking were more common in men. Women were less likely than men to achieve lipid health targets and less likely to receive prescriptions for lipid, blood pressure, or glucose-lowering agents. Men with incident diabetes were 21% less likely than women to meet the HbA1c target. Similarly, ever recorded retinopathy, nephropathy, neuropathy, hypertension, dyslipidaemia, coronary heart disease, heart failure, peripheral vascular disease and peripheral artery disease were higher in men than women.ConclusionsThis research underscores variations in diabetes epidemiology and management based on sex. Tailoring diabetes management should consider the patient's sex.

Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador.

The relationship between COVID-19 infections and environmental contaminants provides insight into how environmental factors can influence the spread of infectious diseases. By integrating epidemiological and environmental variables into a mathematical framework, the interaction between virus spread and the environment can be determined. The aim of this study was to evaluate the impact of atmospheric contaminants on the increase in COVID-19 infections in the city of Quito through the application of statistical tests. The data on infections and deaths allowed to identify the periods of greatest contagion and their relationship with the contaminants O3, SO2, CO, PM2.5, and PM10. A validated database was used, and statistical analysis was applied through five models based on simple linear regression. The models showed a significant relationship between SO2 and the increase in infections. In addition, a moderate correlation was shown with PM2.5, O3, and CO, and a low relationship was shown for PM10. These findings highlight the importance of having policies that guarantee air quality as a key factor in maintaining people's health and preventing the proliferation of viral and infectious diseases.

Exploring transmission dynamics of the Sarcoptes scabiei mite in humans by combining molecular typing and epidemiological variables, the Netherlands 2016–2023

BackgroundScabies, an infestation of the mite Sarcoptes scabiei, has seen an increase in clinical diagnoses in the Netherlands since 2011. This study aimed to analyse PCR-positive S. scabiei skin samples through partial genome sequencing and to link findings to patient epidemiological characteristics.MethodsSkin samples were collected from individuals in the Netherlands between January 2016 and January 2023. On the PCR-positive S. scabiei skin samples, partial mitochondrial cytochrome c oxidase subunit 1 gene (cox1) sequencing was performed to assess genetic variability. Epidemiological information was collected through interviews. We examined associations between cox1 subtypes, epidemiological factors and treatment outcomes.ResultsSequencing results were obtained from 128 patients, with epidemiological information available for 55 (43%) of these patients. Fifteen distinct cox1 subtypes were identified. Subtype 01 was most prevalent (45%) and present across all age groups and social settings. The remaining subtypes were less common and not consistently found in all contexts. Five clusters were identified, each with identical cox1 subtypes. Comparative analysis with GenBank sequences revealed genetic similarities with strains from Australia, the USA and China, suggesting the global distribution and transmission of specific subtypes. A substantial proportion (73%) of patients with scabies required multiple treatments to eradicate the infestation, with no subtype-related differences.ConclusionsThis is the first study linking S. scabiei sequencing results to patient epidemiological data. Several subtypes clustered in specific geographic regions and social contexts, underscoring localised transmission patterns. Further research with larger sample sizes is needed to enhance our understanding of the transmission of this mite. This study provides valuable insights that will strengthen scabies control efforts.Graphical

Enhancing diagnostic accuracy: Direct immunofluorescence assay as the gold standard for detecting Giardia duodenalis and Cryptosporidium spp. in canine and feline fecal samples

The enteric protozoan parasites Giardia duodenalis and Cryptosporidium spp. are common cause of diarrhea in pet dogs and cats, affecting primarily young animals. This comparative study evaluates the diagnostic performance of conventional and molecular methods for the detection of G. duodenalis and Cryptosporidium spp. infection in dogs and cats.The compared diagnostic assays included merthiolate-iodine-formalin (MIF) method, lateral flow immunochromatography rapid test (ICT) and real-time PCR; using direct immunofluorescence assay (DFA) as golden standard. The study included the analysis of 328 fecal samples from different dog (n = 225) and cat (n = 103) populations.According to DFA, the overall prevalence of G. duodenalis was 24.4% (80/328, 95% CI: 19.8–29.4), varying from 11.6% (12/103, 95% CI: 6.2–19.5) in cats to 30.2% (68/225, 95% CI: 24.3–36.7) in dogs. The overall prevalence of Cryptosporidium spp. was 4.0% (13/328, 95% CI: 2.1–6.7), varying from 2.9% (3/103, 95% CI: 0.6–8.3) in cats to 4.4% (10/225, 95% CI: 2.1–8.0) in dogs. MIF was only used for the detection of G. duodenalis, which was identified by this method in 22.7% of dogs and 7.8% of cats, respectively. DFA was the most sensitive technique for detecting G. duodenalis in samples from dogs and cats (p-value: < 0.001), followed by real-time PCR. Identification of Cryptosporidium infections was most effectively accomplished by the combination of DFA and PCR technique (p-value: < 0.001). In addition, epidemiological (sex, age, origin) and clinical (fecal consistency) variables were collected to assess their potential associations with an increased likelihood of infection by G. duodenalis and/or Cryptosporidium spp. Breeder dogs were more likely to harbor G. duodenalis infection (p-value: 0.004), whereas female cats were significantly more infected with Cryptosporidium (p-value: 0.003).In conclusion, DFA (alone or in combination with PCR) has been identified as the most accurate and cost-effective method for detecting G. duodenalis and Cryptosporidium spp. in fecal samples from pet dogs and cats. This highlights their importance in both veterinary and clinical settings for enabling prompt treatment and preventing potential transmission to humans.

Gastrointestinal symptoms in patients using methotrexate: A cross-sectional study in a sample with rheumatoid arthritis

BackgroundGastrointestinal intolerance is common in rheumatoid arthritis (RA) patients using methotrexate and may lead to treatment discontinuation. AimTo study the prevalence of gastrointestinal symptoms in a sample of RA methotrexate users as well as its possible association with clinical and epidemiological variables. MethodsCross-sectional study of 192 patients with gastrointestinal symptoms using the MISS (methotrexate intolerance severity score). Clinical and epidemiological variables were collected through chart review and direct questioning. Patients’ adherence to methotrexate was evaluated through Moriski–Green–Levin questionnaire. ResultsThe prevalence of gastrointestinal complaints was high with 55.7% of the sample classified as intolerant. Nausea and pain after drug ingestion were the most common reported complaints. This intolerance was associated with afro-descendant background (p=0.02); presence of associated fibromyalgia (p=0.04), concomitant use of glucocorticoids (p=0.03) and Jak inhibitors (0.03). A tendency towards association with leflunomide use was observed (p=0.06). Logistic regression was used to test drug associations with methotrexate intolerance, and showed that glucocorticoid use was independently associated with methotrexate intolerance OR=1.85; 95% CI=1.01–3.44; p=0.04. Route of administration, presence of previous gastric complaints, age and methotrexate dose did not interfere with MISS. MISS results were associated with moderate adherence to the drug. ConclusionsThere is a high rate of methotrexate intolerance that is more common in afro-descendants, those with associated fibromyalgia, glucocorticoid and Jak inhibitors users.

Concussion in Female Athletes of Contact Sports: A Scoping Review.

Recent studies have described higher incidences of concussion, with more severe symptoms and worse outcomes in female athletes compared with male athletes. To compile current knowledge about sex-specific differences in incidence, biomechanics, biomarkers, imaging, and outcomes of concussion in athletes participating in contact sports to better understand which fields should be explored in more detail. Scoping review; Level of evidence, 3. The PubMed database was searched for articles published between January 2000 and November 2020 using the Medical Subject Headings terms "craniocerebral trauma" and "brain concussion" combined with the contact sports "football,""soccer,""hockey," and "boxing." Eligibility criteria were based on the recommendations of the Scottish Intercollegiate Guidelines Network. It focused on sex-specific differences within 5 major topics: (1) epidemiology, (2) biomechanics, (3) biomarkers, (4) imaging, and (5) specific concussion outcome variables, including neurocognitive performance, injury severity, and behavioral and psychological symptoms. A total of 22 studies were included. Eight studies investigated the incidence of concussion, with 4 of the 8 finding a significantly higher incidence rate for female versus male athletes. Six studies that focused on biomechanics found that female athletes received fewer impacts with lower magnitudes. One study addressed biomarkers, showing that S100 calcium-binding protein B and neuron-specific enolase were increased after a game in female athletes, and the level of increase was similar to the changes found in male athletes. Based on the 3 imaging studies, affected brain tissue was greatest in areas associated with tau pathology in chronic traumatic encephalopathy. One study showed a lower hypointensity burden index after a season of ice hockey for female athletes, while another study showed more regions with white matter alterations. Seven studies examined concussion outcomes, with 4 studies showing more severe neuropsychological deficits; in addition, female athletes reported more and worse symptoms than male athletes. The results of this review indicated that female athletes had a higher risk of sustaining a concussion, although they received fewer impacts with lower magnitudes than male athletes. Biomarkers were able to be used equally for both sexes. Female athletes also had a higher neuropsychological deficit and increasingly worse symptoms after a concussion.

Pre-hospital and hospital treatment of febrile seizures

Given that febrile seizures are a common reason for both hospital and pre-hospital visits to physicians, and in the absence of a clear consensus on guidelines for treatment, especially for complex febrile seizures (CFS), we aim to examine their characteristics and treatment in order to improve the approach to the issue. This is an observational, retrospective, single-centre study including paediatric patients seen after a seizure associated with a febrile illness in the emergency department of a second-level hospital between September 2021 and December 2023. Epidemiological, clinical and treatment variables were collected. A total of 266 febrile seizures were included in the study: 188 (70.7%) were simple, and 78 (29.3%) were complex. Most benzodiazepines were administered during pre-hospital treatment (82%), and the transmucosal route was used in 70.3% of cases, despite the patient being in a healthcare environment. Complementary tests were performed in 70.6% of cases, blood tests in 65.6%, and nasopharyngeal swabs for viruses in 79.3%. A total of 73.6% of the tests requested were for patients with a focus of the fever. Extensive use of complementary tests persists, despite the identification of a focus of the fever in most patients. Our results show that systematic complementary tests and the admission of patients who have presented a CFS would not be justified, and each individual case should be considered.

Xerostomia and Salivary Dysfunction in Patients With Diabetes Mellitus. A Cross-Sectional Study.

Diabetes mellitus (DM) has been associated with salivary disorders such as xerostomia and hyposalivation. Theaim of this study was to determine the prevalence of these disorders and their risk factors in DM patients. DM patients from two health centers were included. Epidemiological and DM control-related variables were collected. Xerostomia Inventory was filled out by the patients and unstimulated whole salivary flow was collected. Logistic regression tests were performed. A total of 168 patients were included (46.4% men, 53.6% women, mean age 72.54 [SD 11.03 years]). Thirteen patients had Type 1 DM and 155 had Type 2 DM. 52.4% experienced xerostomia and 41.1% had unstimulated whole salivary flow hyposalivation. Women were more likely to suffer hyposalivation than men (OR 2.5, 95% CI 1.32-4.73; p = 0.005). Patients with T2DM were less likely to suffer UWS hyposalivation than T1DM patients (OR 0.28, 95% CI 0.08-0.95; p = 0.04). Glycemic control was not significantly worse in patients with xerostomia and hyposalivation. The drugs for the treatment of DM were not associated with salivary disorders. However, some drugs to treat other comorbidities such hypertension and neurological diseases were associated with xerostomia and hyposalivation. The prevalence of xerostomia and unstimulated whole salivary flow hyposalivation in patients with DM is high. Female sex, T1DM, and the use of certain non-antidiabetic drugs increased the risk of suffering these disorders. The possible association between DM, xerostomia, and/or hyposalivation is complex and may be influenced by multiple factors. Therefore, further studies are needed to evaluate whether DM influences these salivary disorders.

Development of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Study.

Objectives: To develop a risk prediction model for the identification of features involved in the prediction of erectile dysfunction (ED) at 12 months following COVID-19 recovery. Methods: We performed an observational prospective multicentre study. Participants were classified according to their history of COVID-19: (I) patients with a past history of COVID-19 and (II) patients without a previous microbiological diagnosis of COVID-19. A total of 361 patients (past history of COVID-19, n = 166; no past history of COVID-19, n = 195) were assessed from January 2022 to March 2023. Patients with a past history of COVID-19 were assessed at 12 months following COVID-19 recovery. The primary outcome measure was ED, assessed through the 5-item International Index of Erectile Function (IIEF-5). Data concerning epidemiologic variables, comorbidities and active treatment were also collected. We performed a binary logistic regression to develop a risk predictive model. Among the models developed, we selected the one with the higher Area Under the Curve (AUC). Results: The median age was 55 years in both groups. The ED prevalence was 55.9% in patients with past history of COVID-19 and 44.1% in those with no past history of COVID-19. The best predictive model developed for ED comprised 40 variables and had an AUC of 0.8. Conclusions: We developed a regression model for the prediction of ED 12 months after COVID-19 recovery. The application of our predictive tool in a community setting could eventually prevent the adverse effects of ED on cardiovascular health and the associated unfavourable economic impact.

Machine learning for HELLP syndrome prediction: algorithms, case study and challenges

Machine learning (ML) is a subsection of artificial intelligence (AI) that develops dynamic algorithms for data-making decisions. Medical science is an area where the application of ML can be very productive. The adoption of ML methods in medical sciences especially in the HELLP Syndrome prediction has been slow. Machine learning techniques have shown promise in predicting various complications of pregnancy, including preeclampsia and preterm birth. However, their application in predicting HELLP syndrome, a rare but serious condition, remains relatively understudied. This study investigates the application of machine learning algorithms to predict HELLP syndrome among pregnant women presenting with preeclampsia. The research population comprises 266 pregnant women between 28 and 38 weeks of gestation, recruited from the gynecology-obstetrics department of Mother and Child Hospital “Saadna Abdenour” in Setif, Algeria, between June 2020 and June 2021. The data collected includes epidemiological, diagnostic, therapeutic, and evolutionary variables, with a focus on severe preeclampsia cases. The results highlight the potential of machine learning algorithms in predicting HELLP syndrome, providing valuable insights for clinical decision-making and improving maternal and neonatal outcomes.

Patients with influenza admitted to a tertiary-care hospital in Riyadh between 2018 and 2022: characteristics, outcomes and factors associated with ICU admission and mortality

BackgroundInfluenza is a common cause of hospital admissions globally with regional variations in epidemiology and clinical profile. We evaluated the characteristics and outcomes of patients with influenza admitted to a tertiary-care center in Riyadh, Saudi Arabia.MethodsThis was a retrospective cohort of adult patients admitted with polymerase chain reaction-confirmed influenza to King Abdulaziz Medical City-Riyadh between January 1, 2018, and May 31, 2022. We compared patients who required intensive care unit (ICU) admission to those who did not and performed multivariable logistic regression to assess the predictors of ICU admission and hospital mortality.ResultsDuring the study period, 675 adult patients were hospitalized with influenza (median age 68.0 years, females 53.8%, hypertension 59.9%, diabetes 55.1%, and chronic respiratory disease 31.1%). Most admissions (83.0%) were in the colder months (October to March) in Riyadh with inter-seasonal cases even in the summertime (June to August). Influenza A was responsible for 79.0% of cases, with H3N2 and H1N1 subtypes commonly circulating in the study period. Respiratory viral coinfection occurred in 12 patients (1.8%) and bacterial coinfection in 42 patients (17.4%). 151 patients (22.4%) required ICU admission, of which 62.3% received vasopressors and 48.0% mechanical ventilation. Risk factors for ICU admission were younger age, hypertension, bilateral lung infiltrates on chest X-ray, and Pneumonia Severity Index. The overall hospital mortality was 7.4% (22.5% for ICU patients, p < 0.0001). Mortality was 45.0% in patients with bacterial coinfection, 30.9% in those requiring vasopressors, and 29.2% in those who received mechanical ventilation. Female sex (odds ratio [OR], 2.096; 95% confidence interval [CI] 1.070, 4.104), ischemic heart disease (OR, 3.053; 95% CI 1.457, 6.394), immunosuppressed state (OR, 7.102; 95% CI 1.803, 27.975), Pneumonia Severity Index (OR, 1.029; 95% CI, 1.017, 1.041), leukocyte count and serum lactate level (OR, 1.394; 95% CI, 1.163, 1.671) were independently associated with hospital mortality.ConclusionsInfluenza followed a seasonal pattern in Saudi Arabia, with H3N2 and H1N1 being the predominant circulating strains during the study period. ICU admission was required for > 20%. Female sex, high Pneumonia Severity Index, ischemic heart disease, and immunosuppressed state were associated with increased mortality.

Scorecard Approach to Eliminate Onchocerciasis in Venezuela.

In the Americas, onchocerciasis has been eliminated in 11 of 13 endemic foci by mass administration of ivermectin. The remaining at-risk population resides in a contiguous cross-border transmission zone located in the Amazon jungle in northwest Brazil and southern Venezuela, known as the Yanomami Focus Area. Here, we describe the development and implementation of a data-driven tool, called the Scorecard Approach (SCA), for the 393 communities that comprise the Venezuela South Focus. The SCA was first applied in 2018 and is reassessed on an annual basis. This operational strategy seeks to prioritize communities with low ivermectin coverage while taking into account the nature and variation of other epidemiological and logistical variables. Numeric scores are assigned for each factor and added together to yield a composite score for each community that is categorized as high, medium, or low priority. In this way, the SCA serves as a valuable and comprehensive strategy for planning, monitoring, and maximizing programmatic efficiency. In addition, it has allowed the country to face the main challenges of this endemic area: its remoteness, its large areas of territory to cover, the semi-nomadic nature of the Yanomami people, and their continuous cross-border movements. For 2022, the SCA categorized 54 (13.7%), 108 (27.5%), and 231 (58.8%) communities as high, medium, and low priority, respectively. The results presented here show that prioritizing communities at risk and with greatest needs increases the feasibility of interrupting the transmission of onchocerciasis by 2025 in the last endemic focus in the Americas.

Sécurité Transfusionnelle En Milieu Rural En République Démocratique Du Congo: Plaidoyer pour un dépistagesystématique des hépatites virales B, C et pour la fidélisation des donneurs de sang

Introduction: Transfusional safety remains a major concern in our environment where the permanent availability of the screening tests is not always guaranteed. The first aim of this work is to highlight the prevalence of HBV, HCV and HIV infections and to encourage systematic screening for these viruses. The second aim is to identify the risk incurred by the transfused person depending on whether the blood donor is a loyal blood donor or an improvised familialblood donor. Methods:We conducted a multicentric cross-sectional study at health centers and hospitals performing blood transfusion in Uvira, Kiliba and Lemera (Eastern D.R. Congo) between January 2018 and December 2022. Thirteen thousand and sixty-two blood donors were recruited. Statistical analyzes were done using the Epi Info 7.2 software and the corrected Chi-square or exact Fischer test (when recommended) was used to search for an association between the epidemiological variables. Measurement of association strength by Odds Ratios (95% confidence intervals) was used to compare frequencies observed across donor categories based on the presence of infectious markers. The threshold of significance was set at p &lt;0.05. Results:On a total of 13062 donors, 483 (3.7%) were HIV-positive, 837 (6.4%) seropositive to HBV, and 208 (1.6%) HCV-positive. Among these infected donors (n=1528), 68.39 % N=1045) was infected by the viruses of the hepatitis. Compared to loyal donors, paid donors had 14.38 times the risk of having positive HIV serology (OR = 14.38 [5.16-40.06]), 6.53 and 30.89 times the risk for HBV (OR = 6.53 [3.20-13.34]) and HCV (OR = 30.89 [6.95-283.72]). Conclusion:In rural health zones we studied, blood receivers are at high risk of contamination with HIV, hepatitis by blood given by an unreliable blood donor. Transfusion safety measures should be strengthened by obligatory and systematic HBV and HCV research as well as HIV

Defining and quantifying population-level need for children’s palliative care: findings from a rapid scoping review

BackgroundThe number of children who require palliative care has been estimated to be as high as 21 million globally. Delivering effective children’s palliative care (CPC) services requires accurate population-level information on current and future CPC need, but quantifying need is hampered by challenges in defining the population in need, and by limited available data. The objective of this paper is to summarise how population-level CPC need is defined, and quantified, in the literature.MethodsScoping review performed in line with Joanna Briggs Institute methodology for scoping reviews and PRISMA-ScR guidelines. Six online databases (CINAHL, Cochrane Library, EMBASE, Medline, PsycINFO, and Web of Science), and grey literature, were searched. Inclusion criteria: literature published in English; 2008–2023 (Oct); including children aged 0–19 years; focused on defining and/or quantifying population-level need for palliative care.ResultsThree thousand five hundred seventy-eight titles and abstracts initially reviewed, of which, 176 full-text studies were assessed for eligibility. Overall, 51 met the inclusion criteria for this scoping review. No universal agreement identified on how CPC need was defined in population-level policy and planning discussions. In practice, four key definitions of CPC need were found to be commonly applied in quantifying population-level need: (1) ACT/RCPCH (Association for Children with Life-Threatening or Terminal Conditions and their Families, and the Royal College of Paediatrics and Child Health) groups; (2) The ‘Directory’ of Life-Limiting Conditions; (3) ‘List of Life-Limiting Conditions’; and (4) ‘Complex Chronic Conditions’. In most cases, variations in data availability drove the methods used to quantify population-level CPC need and only a small proportion of articles incorporated measures of complexity of CPC need.ConclusionOverall, greater consistency in how CPC need is defined for policy and planning at a population-level is important, but with sufficient flexibility to allow for regional variations in epidemiology, demographics, and service availability. Improvements in routine data collection of a wide range of care complexity factors could facilitate estimation of population-level CPC need and ensure greater alignment with how need for CPC is defined at the individual-level in the clinical setting.