Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study.

BACKGROUND: In the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding the trauma patients' mortality rate have not been compared. Therefore, the objective of this study is comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set. METHODS: This cross-sectional retrospective diagnostic study performed on 6905 trauma patients, of which 4191 were found eligible, referred to the largest trauma center in southern Iran, Shiraz, during 2022-2023 based on their prehospital data set in order to compare the prognostic power of NEWS2, RTS, and TRISS in predicting in-hospital mortality rate. Patients are divided into deceased and survived groups. Demographic data, vital signs, and GCS were obtained from the patients and scoring systems were calculated and compared between the two groups. TRISS and ISS are calculated with in-hospital data set; others are based on prehospital data set. RESULTS: A total of 129 patients have deceased. Age, cause of injury, length of hospital stay, SBP, RR, HR, temperature, SpO2, and GCS were associated with mortality (p-value < 0.001). TRISS and RTS had the highest sensitivity and specificity respectively (77.52, CI 95% [69.3-84.4] and 93.99, CI 95% [93.2-94.7]). TRISS had the highest area under the ROC curve (0.934) followed by NEWS2 (0.879), GCS (0.815), RTS (0.812), and ISS (0.774). TRISS and NEWS were superior to RTS, GCS, and ISS (p-value < 0.0001). CONCLUSION: This novel study compares the accuracy of NEWS2, TRISS, and RTS scoring systems in predicting mortality rate based on prehospital data. The findings suggest that all the scoring systems can predict mortality, with TRISS being the most accurate of them, followed by NEWS2. Considering the time consumption and ease of use, NEWS2 seems to be accurate and quick in predicting mortality based on prehospital data set.

Impact of different mating ratios of broiler breeder on reproductive performance during post moult phase.

Studies comparing mating ratio after forced molting are important for improving the efficiency of broiler breeder flocks. This study examined the effect of mating ratios on Egg production, chick weight, fertility, hatchability and embryonic mortality rate in Arbor Acres Plus broiler breeders post-moult phase. A total of 195 birds (62 weeks old), consisting of 15 cocks and 180 hens were randomly allocated with uniform body weight in a Completely Randomized Design into three groups based on the mating ratio (cock to hen). The groups included ratios of 1:10, 1:12, and 1:14, with each group replicated 5 times. Eggs were collected twice a day, and stored for 7 days at room temperature before placing them in the incubator. Results showed that mating ratios 1:10 and 1:12 had a positive effect on fertility rate and total hatchability compared to the 1:14 ratio. However, mating ratios did not affect laying rate, egg weight, egg mass, chick weight, hatchability of fertile eggs, and embryonic mortality rate. In conclusion, to reduce the cost of raising and caring cocks, a mating ratio of one cock to every twelve hens can be used for broiler breeders after forced molting to obtain the best fertility and hatching results.

Evaluating neonatal mortality in Malta compared with other EU countries: Exploring the influence of congenital anomalies and maternal risk factors.

BACKGROUND: Globally, 240,000 babies die in the neonatal period annually due to congenital anomalies (CA). Malta reports the highest neonatal mortality rate (NMR) among EU (European Union) Countries, constituting a public health concern. OBJECTIVES: This study describes the contribution of CA to NMR in Malta, investigating possible associations with known maternal risk factors of maternal age, nationality, and education. Additionally, it provides an update on the contribution of CA to neonatal deaths in Malta and other EU countries. METHODS: Anonymous data for births and neonatal deaths were obtained for 2006-2020 from the National Obstetrics Information System (NOIS) in Malta. Regression analyses adjusting for maternal risk factors were run on this data to explore possible associations with NMR. NMRs published by EUROSTAT 2011-2020 were used to compare mortality by underlying cause of death (CA or non-CA causes) for Malta and other EU countries. RESULTS: Between 2006 and 2020, 63,890 live births with 283 neonatal deaths were registered in Malta, (NMR 4.4 per 1000 live births). CA accounted for 39.6% of neonatal deaths. No time trends were observed in either total NMR, NMR attributed to CA or mortality due to non-CA causes. Adjusted variables revealed associations for women hailing from non-EU, low-income countries. Malta registered high NMRs compared to EU countries, most marked for deaths attributed to CA. CONCLUSIONS: Between 2006 and 2020, Malta's NMR remained stable. Maternal Nationality, from non-EU low-income countries, was associated with higher neonatal mortality. The influx of such migrants may play a partial role in the high NMRs experienced. Malta's high NMR was primarily driven by early neonatal deaths, which included high proportions of deaths due to CA and is linked to the fact that termination of pregnancy is illegal in Malta.

Predicting fish spawning phenology for adaptive management: Integrating thermal drivers and fishery constraints.

Climate warming is causing shifts in reproductive phenology, a crucial life history trait determining offspring survival and population productivity. Evaluating these impacts on exploited marine resources is essential for implementing adaptive measures from an ecosystemic approach. This study introduces a statistical model designed to predict fish spawning phenology from sea surface temperature profiles, integrating mortality-corrected hatch-date distributions inferred from fishery-dependent samplings, along with the gonadosomatic index of adult individuals. When applied to different dolphinfish (Coryphaena hippurus) populations across a broad latitudinal range, the model reasonably predicts the spawning phenology across its extensive thermal ranges, elucidating a direct relationship between mean annual temperature and the breadth of the spawning season. Despite the varying thermal profiles, results show a consistent timing of spawning peaks approximately 49 days before the peak in temperature. Importantly, these findings account for the impact of fishery constraints, such as seasonal closures or different sampling schedules, offering a robust tool for adjusting management practices in response to inter-annual temperature variations. These insights are critical for both short-term fishery management, including the strategic planning of seasonal closures, and long-term projections of spawning phenology shifts under changing thermal regimes. By enhancing our ability to predict spawning times, this research contributes significantly to the sustainable management of fish populations and the adaptive response to environmental changes.

Trends of autoimmune liver disease inpatient hospitalization and mortality from 2011 to 2017: A United States nationwide analysis.

BACKGROUND: Autoimmune liver diseases (AiLD) encompass a variety of disorders that target either the liver cells (autoimmune hepatitis, AIH) or the bile ducts [(primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC)]. These conditions can progress to chronic liver disease (CLD), which is characterized by fibrosis, cirrhosis, and hepatocellular carcinoma. Recent studies have indicated a rise in hospitalizations and associated costs for CLD in the US, but information regarding inpatient admissions specifically for AiLD remains limited. AIM: To examine the trends and mortality of inpatient hospitalization of AiLD from 2011 to 2017. METHODS: This study is a retrospective analysis utilizing the National Inpatient Sample (NIS) databases. All subjects admitted between 2011 and 2017 with a diagnosis of AiLD (AIH, PBC, PSC) were identified using the International Classification of Diseases (ICD-9) and ICD-10 codes. primary AiLD admission was defined if the first admission code was one of the AiLD codes. secondary AiLD admission was defined as having the AiLD diagnosis anywhere in the admission diagnosis (25 diagnoses). Subjects aged 21 years and older were included. The national estimates of hospitalization were derived using sample weights provided by NIS. χ 2 tests for categorical data were used. The primary trend characteristics were in-hospital mortality, hospital charges, and length of stay. RESULTS: From 2011 to 2017, hospitalization rates witnessed a significant decline, dropping from 83263 admissions to 74850 admissions (P < 0.05). The patients hospitalized were predominantly elderly (median 53% for age > 65), mostly female (median 59%) (P < 0.05), and primarily Caucasians (median 68%) (P < 0.05). Medicare was the major insurance (median 56%), followed by private payer (median 27%) (P < 0.05). The South was the top geographical distribution for these admissions (median 33%) (P < 0.05), with most admissions taking place in big teaching institutions (median 63%) (P < 0.05). Total charges for admissions rose from 66031 in 2011 to 78987 in 2017 (P < 0.05), while the inpatient mortality rate had a median of 4.9% (P < 0.05), rising from 4.67% in 2011 to 5.43% in 2017. The median length of stay remained relatively stable, changing from 6.94 days (SD = 0.07) in 2011 to 6.51 days (SD = 0.06) in 2017 (P < 0.05). Acute renal failure emerged as the most common risk factor associated with an increased death rate, affecting nearly 68% of patients (P < 0.05). CONCLUSION: AiLD-inpatient hospitalization showed a decrease in overall trends over the studied years, however there is a significant increase in financial burden on healthcare with increasing in-hospital costs along with increase in mortality of hospitalized patient with AiLD.

Early Diagnosis and Treatment Outcomes of Fournier Gangrene in a Tertiary Center.

INTRODUCTION: Fournier gangrene is an uncommon urological emergency caused by microbial agents, resulting in necrosis of the genitalia and perineum. This study aims to evaluate the outcomes of early diagnosis and management of Fournier gangrene at KAMC in Riyadh, Saudi Arabia. METHODS: A retrospective cohort study was conducted at KAMC, Saudi Arabia. The study population included all adult patients diagnosed with Fournier gangrene between 2015 and 2022. Data analysis was performed using RStudio (RStudio, Boston, MA). Frequencies and percentages were used to present categorical data, while medians and interquartile ranges were used to express numerical variables. RESULTS: The study included 41 patients with Fournier gangrene, the majority (95.12%) being male with a median age of 60 years. The most prevalent comorbidity was diabetes mellitus (85.37%). Ten patients presented to the hospital with sepsis, two of whom were in shock. Within 90 days of admission, two of them had expired. This resulted in a 20% mortality rate among septic patients. The mean FGSI in patients who had died during hospital stays was approximately two times the mean in surviving patients (8.17 and 4.32, respectively). The most utilized imaging study was a CT scan (70.7%). Most patients had undergone multiple debridements (87.7%). The median number of debridements per patient was three, and the interval between each debridement was three days. The most frequent tissue culture finding was mixed organisms, followed by Escherichia coli. Regarding empiric antibiotics, tazocin was the most used, accounting for 22.0%. The most frequently performed adjunctive procedure was the placement of a suprapubic catheter, accounting for 41.5%. Roughly 43.90% required a blood transfusion. Within 90 days of admission, six patients had died, which makes the mortality rate 14.6%. Four of them had died within 30 days of admission (9.76%). CONCLUSION: Fournier gangrene is a surgical emergency that requires prompt attention and resuscitation, antibiotic therapy, and surgical debridement. The study identified the demographic factors of patients who presented with the disease and provided the incidence, mortality rate, and outcomes of the disease. It also identified specifics of the pharmacological and surgical management and hospital courses.

Adaptive Gaussian Markov random fields for child mortality estimation.

The under-5 mortality rate (U5MR), a critical health indicator, is typically estimated from household surveys in lower and middle income countries. Spatio-temporal disaggregation of household survey data can lead to highly variable estimates of U5MR, necessitating the usage of smoothing models which borrow information across space and time. The assumptions of common smoothing models may be unrealistic when certain time periods or regions are expected to have shocks in mortality relative to their neighbors, which can lead to oversmoothing of U5MR estimates. In this paper, we develop a spatial and temporal smoothing approach based on Gaussian Markov random field models which incorporate knowledge of these expected shocks in mortality. We demonstrate the potential for these models to improve upon alternatives not incorporating knowledge of expected shocks in a simulation study. We apply these models to estimate U5MR in Rwanda at the national level from 1985 to 2019, a time period which includes the Rwandan civil war and genocide.

Disease burden of esophageal cancer attributable to low fruit intake in China and globally from 1990 to 2019.

OBJECTIVE: To understand the disease burden of esophageal cancer (EC) attributable to inadequate fruit intake in China and global from 1990 to 2019 stratified by age and sex. METHODS: Global Burden of Disease Study (GBD 2019) were pooled to calculate the number of deaths, standardized mortality rate, disability-adjusted life years (DALY) and DALY rate of EC attributed to low fruit intake in China and globally by age and sex from 1990 to 2019. The population attributable fractions (PAF) were applied to estimate the proportion of EC caused by low fruit intake. Joinpoint was used to estimate average annual percentage of change (AAPC) to reflect the time change trend of the EC burden attributable to inadequate fruit intake in China and globally. RESULTS: In the Chinese population in 2019, the attributable DALY of EC in males was 356,000 person-years, while it was 80,600 person-years in females. The attributable standardized mortality and DALY rates for different age groups in China increased with age, peaking in the group aged 70 years and above. From 1990 to 2019 in China, the number of deaths, standardized mortality rates, DALY and standardized DALY rates of EC attributable to inadequate fruit intake showed a decreasing trend (AAPCs: -1.62%, -4.54%, -2.10% and -4.88%, respectively), with statistical significance (P<0.001). CONCLUSION: The overall burden of EC attributed to inadequate fruit intake in China has demonstrated a downward trend. However, due to the aging population, the disease burden in China remains higher than the global average. Hence, prevention and health education efforts should focus on the population with low fruit intake.

Mortality in the Victorian asylum: was it so high? Standardised Mortality Rate compared with historical methods.

Mortality is closely linked to age, sex, and social and historical context. Standardised Mortality Rates (SMR) address these contextual factors by comparing mortality in a population under study with that in people of the same age and sex, the same period in history and from a similar cultural context. We use records from the Hatton Asylum and contemporaneous census data in order to calculate SMR in the asylum population, showing rates that were about 2.5 times greater than the population at the time. This is much lower than crude mortality rates, which we calculated as being more than seven times greater than in the population. The SMR method may enable a more meaningful understanding of mortality in asylums or other institutions.

Disease burden and related risk factors of esophageal cancer in China and globally from 1990 to 2021, with forecast to 2035: An analysis and comparison.

INTRODUCTION: In this study we estimate the burden of esophageal cancer (EC) in China and globally from 1990 to 2021, with a forecast to 2035, using Global Burden of Disease (GBD) data. We also analyze the related risk factors to investigate burden trends. METHODS: Mortality, disability-adjusted life years (DALYs), crude rates, and age-standardized rates of EC were analyzed in China and globally from 1990 to 2035, utilizing GBD open data as a secondary dataset analysis of GBD data. Temporal change trends of EC risk factors were analyzed from 1990 to 2021. Joinpoint regression determined average annual percentage change (AAPC) of age-standardized rates. Descriptive analysis compared mortality and DALYs by age groups. Bayesian age-period-cohort (BAPC) predicted age-standardized mortality and DALYs rates for the next 14 years. RESULTS: The ASMR and ASDR fluctuations in EC were significant in China, showing an overall downward trend. Globally, although there was also a downward trend, the fluctuations were relatively mild. The number of deaths and DALYs related to EC in China and globally showed a significant upward trend. Age-specific burden trends in China for EC indicated that the age group with the peak number of EC deaths shifted to the 70-74 years age group in 2021, while DALYs peaked in the 65-69 years age group. The crude mortality rate (CMR) peaked consistently in 1990 and 2021, both within the 90-94 years age range, while the crude DALY rate (CDR) shifted to the 85-89 years age group. Overall, the burden of EC deaths and DALYs in the population aged <40 years was relatively low, increasing rapidly after the age of 40 years, reaching a peak and gradually declining, and reaching a lower level after the age of 85 years. The predictive results of the BAPC model indicated that over the next 14 years, both ASMR and ASDR for EC in China and globally would show a slight overall increase. The GBD 2021 study identified smoking, high alcohol use, chewing tobacco, and diet low in vegetables as the main risk factors affecting EC mortality rate and DALYs. Among these, smoking and alcohol use were the most significant risk factors, with a higher impact on EC in China compared to the global level. From 1990 to 2021, the overall changes in ASMR and ASDR indicate a decreasing trend in the impact of these four risk factors on EC mortality rate and DALYs. CONCLUSIONS: The burden of EC is expected to steadily increase in China and globally until 2035, posing a significant challenge. Targeted prevention and control policies, such as calling on people to quit smoking and reduce alcohol use, may help curb this upward trend.

Trends in multiple myeloma incidence, prevalence, mortality, and survival rate in South Korea: a nationwide population-based study.

This is the first study presenting the overall descriptive epidemiology of multiple myeloma (MM), including incidence, mortality rate, and prevalence, in South Korea between 2010 and 2018 based on nationwide medical insurance coverage and mortality statistics data. The incidence of MM between 2010 and 2018 was obtained from nationwide medical claims data, and mortality data were obtained from the Korea National Statistical Office. The age-standardized incidence rate (ASIR) and mortality rate (ASMR) and one- and five-year survival rates of patients with MM each year were estimated. There were 10,835 patients with MM aged ≥ 20 years in South Korea between 2010 and 2018. The ASIR was 2.42/100,000 in 2010 and increased to 2.71/100,000 in 2018, with an annual percent change (APC) of 1.86% (95% CI = 0.74-2.99%, P = 0.005). While this trend was significant in women, it was not statistically significant in men. The ASMR did not significantly change over time. Furthermore, the median survival time of patients with MM diagnosed between 2010 and 2018 was 3.36 years. Notably, the one-year survival rate of patients was increased from 65.3% in 2010 to 76.2% in 2017. Finally, the proportion of patients with MM who received novel therapeutic agents, such as proteasome inhibitors or immunomodulatory drugs, as first-line treatment increased from 37.7% in 2010 to 97.8% in 2018. The ASIR and prevalence of MM in South Korea increased between 2010 and 2018, especially in women and the survival rate of patients with MM has increased.

Sarcopenia and cognitive impairment in older adults: Long-term prognostic implications based on the National Health and Nutrition Examination Survey (2011-2014).

AIMS: The relationship between sarcopenia and cognitive impairment in older adults remains contentious. This study investigates this association and examines the long-term prognosis for individuals with both conditions. METHODS: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014, this study focuses on the correlation between sarcopenia and cognitive impairment, as well as the extended prognosis for individuals managing these conditions. RESULTS: The study cohort comprised 2890 participants, with 648 (22.4 %) diagnosed with sarcopenia. Multivariable logistic regression analysis identified a significant association between sarcopenia and an increased risk of cognitive impairment (adjusted odds ratio [aOR]: 1.68, 95 % confidence interval [CI]: 1.30-2.17). Over a median follow-up period of 48 months, 200 individuals (6.9 %) succumbed to cardiovascular and cerebrovascular diseases (CCVDs), including hypertension, congestive heart failure, coronary artery disease, and stroke, as well as Alzheimer's disease (AD). Participants had comorbid conditions such as CCVDs and diabetes mellitus. Kaplan-Meier survival analysis and the Cox proportional hazards model indicated that individuals with both sarcopenia and cognitive impairment had the highest mortality risk from CCVDs and AD (adjusted hazard ratio [aHR]: 2.73, 95 % CI: 1.48-5.02). Individuals with sarcopenia and comorbidities exhibited a higher mortality risk from CCVDs or AD compared to those without sarcopenia but with comorbidities (aHR: 2.71, 95 % CI: 1.37-5.37). CONCLUSION: Sarcopenia is independently associated with cognitive impairment. Older adults with both sarcopenia and cognitive impairment or concurrent comorbidities face increased mortality risks from CCVDs or AD compared to their healthy counterparts.

Exploring the relationship between vitamin D and hepatic carcinoma in individuals diagnosed with hepatitis B virus infection.

OBJECTIVE: The primary objective of this study is to examine the distribution and prognostic implications of serum vitamin D levels among individuals diagnosed with primary hepatic carcinoma (PHC) attributable to hepatitis B virus (HBV) infection. METHODS: A total of 345 patients diagnosed with HBV infection were enrolled in our hospital between August 2014 and October 2020. Among these, 144 individuals were diagnosed with chronic hepatitis B (CHB), 66 individuals were diagnosed with HBV-related hepatic cirrhosis (HBV cirrhosis), and 135 individuals were diagnosed with HBV-related PHC (HBV-PHC). Peripheral serum levels of vitamin D were measured. Patients with cirrhosis underwent examination using the Child-Pugh grading system, and the mortality rates at 1-year and 3-year intervals for patients with HBV-PHC were analyzed. RESULTS: Vitamin D levels in peripheral serum in the CHB group, HBV cirrhosis group, and HBV-PHC group exhibited varying degrees of reduction compared to healthy individuals. Significant differences were observed between the three groups (F = 4.02, P = 0.019). No significant difference was observed in vitamin D levels between different Child-Pugh grades within the HBV cirrhosis group (F = 0.89, P = 0.417). However, significant differences were observed in vitamin D levels between different Child-Pugh grades within the HBV-PHC group (F = 4.84, P = 0.009). There was no significant difference in 1-year and 3-year mortality rates between patients diagnosed with HBV-PHC and with varying vitamin D levels (P > 0.05). CONCLUSIONS: Vitamin D levels decreased to varying degrees in patients diagnosed with CHB, HBV cirrhosis, and PHC. This decrease was well correlated with disease progression (HBV-PHC group < HBV cirrhosis group < CHB group). In cases where hepatic function was comparable, there was no discernible correlation between serum vitamin D level and mortality rates from PHC.

Alzheimer's Disease Mortality Rate: Correlation with Socio-Economic and Environmental Factors.

The progressive increase in the number of deaths caused by Alzheimer's disease (AD) in Brazil and around the world between 2010 and 2020 raises questions in scientific society. At the same time, there is also an increase in life expectancy at birth (LEB). Thus, the aim of this study was, for the first time, to compare the increase in AD mortality rate (ADMR) in Brazilian regions over the years 2010 to 2020 with the increase in LEB, and investigate the possible correlation between these demographic transition phenomena and pesticide sales and exposure during this period. Data were extracted from the Brazilian Institute of Geography and Statistics (IBGE), from the Department of Informatics and Technology of the Brazilian Ministry of Health (DATASUS) and from the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA). There was a significant increase in life expectancy at birth and in ADMR over the years between 2010 and 2020 in all Brazilian regions, with the female population in the South region being the most affected. In conclusion, there is a strong positive correlation between the increase in ADMR and LEB; ADMR and Human Development Index (HDI) and ADMR and pesticide sales and exposure in Brazil over the years studied.

COVID-19 increases mortality in hemodialysis patients: exploring links with inflammation and telomere attrition.

BACKGROUND AND OBJECTIVE: An increased risk of mortality and hospitalization was consistently demonstrated in hemodialysis (HD) patients affected by pandemic coronavirus infection (COVID-19). In this study, we analyzed parameters that may impact mortality in COVID-19 HD patients, including neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP), COVID-19 disease status and telomere length in peripheral blood cells (TL). MATERIALS AND METHODS: A total of 130 chronic hemodialysis patients were enrolled and followed up for 18 months. Patients were categorized into groups based on their COVID-19 disease history and subsequent data about their survival status at the end of the study. Routine laboratory parameters were assessed using standard automated methods and TL was determined using the modified Cawthon method. Survival predictors were analyzed using Kaplan-Meier analysis. RESULTS: Deceased patients (30%) were older with higher body mass index (BMI), higher levels of LDH, NLR index, CRP and lower TL and lymphocytes count compared to survivors. Kaplan-Meier survival analysis showed six parameters were significant mortality predictors in the following order of significance: COVID-19 history, 2-years cardiovascular mortality risk score, NLR, TL, CRP, LDH. Using binary logistic regression analysis Summary risk score, a combination of these six parameters revealed as the best predictor of patient's survival in this group of parameters (log rank 25.4, p < 0.001). CONCLUSION: Compared to the general population, the mortality rate among HD patients persists at a higher level despite advancements in HD technology and patient care. The situation has been exacerbated by COVID-19, by significant increase in mortality rate among these patients.

Evaluating the Prevalence of Maternal Health Indicators on Infant Mortality Rates in Florida.

Background The infant mortality rate is defined as the number of infant deaths for every 1000 live births. In 2020, the infant mortality rate was 5.8% in the state of Florida, compared to 7.0% in 2000. Although infant mortality rates have declined in the state of Florida, disparities influencing these rates exist across varying Florida counties, with the widest differences being compared between the healthiest versus unhealthiest counties in Florida. Many factors can contribute to high infant mortality rates in certain counties, including income inequality, access to and quality of healthcare, race/ethnicity, obesity, and disadvantaged socioeconomic status (SES). Methods This study utilized data from Florida Health Charts on infant mortality rates in the state of Florida and the Pregnancy and Young Child Profiles in 10 counties to examine how certain risk factors impact infant mortality outcomes in the state of Florida. These 10 counties consist of five healthiest and five unhealthiest counties, as determined by the 2022 County Health Rankings data. T-tests were used to evaluate the relationship between county health status and several county health indicators. Results The average infant mortality rate from 2011 to 2020 differed significantly among healthy and unhealthy counties (p-value=0.0000). Median household income, individuals below the poverty level, and those aged zero to 17 years old were found to differ significantly by county health status (p-values 0.0000, 0.001, and 0.009, respectively). However, mothers having no high school education, births with first-trimester care, births with adequate care, and births with late or no prenatal care were not statistically significant. Conclusion Our study suggests that counties more likely to have fewer resources than other counties, such as those considered unhealthy, are more impacted by a higher infant mortality rate. The unhealthy counties in this study were found to have lower average median household income, higher rates of no high school education among mothers, and less prenatal care in comparison to healthy counties.

The Specificity of Epizootic and Epidemiological Processes in Natural Foci of Hemorrhagic Fever with Renal Syndrome and Tick-Borne Encephalitis in Russia, as the Basis for the Prospects of Creating a Combined Vaccine for the Prevention of These Infections.

Hemorrhagic fever with renal syndrome (HFRS) and tick-borne encephalitis (TBE) are the most common viral diseases in Russia. HFRS is caused by six different types of hantaviruses: Hantaan, Amur, Seoul, Puumala, Kurkino, and Sochi, which are transmitted to humans through small mammals of the Muridae and Cricetidae families. TBE is caused by viruses belonging to five different phylogenetic subtypes. The similarities in the ecology of HFRS and TBE pathogens is presented here. Hantavirus-infected small mammals can transmit the virus to uninfected animals, and ticks can also transmit hantavirus to other ticks and mammals. Hantavirus transmission from ticks to humans is possible only hypothetically based on indirect data. Over the past 23 years, 164,582 cases of HFRS (4.9 per 105 people) and 71,579 cases of TBE (2.5 per 105 people) were registered in Russia. The mortality rate was 0.4% (668 cases) in HFRS and 1.6% deaths (1136 cases) in TBE. There were 4030 HFRS (2.5%) and 9414 TBE (13%) cases in children under 14 years old. HFRS and TBE cases were registered in 42 out of 85 Russian regions; in 18-only HFRS, in 13-only TBE, and 12 had no reported cases. The prospects of applying a combined vaccine for HFRS and TBE prevention are shown in this paper.

Analysis of the causes of neonatal death and genetic variations in congenital anomalies: a multi-center study.

Background: Neonatal deaths often result from preventable conditions that can be addressed with appropriate interventions. This study aims to analyze the distribution of the causes of neonatal death and explore genetic variations that lead to congenital anomalies in Northwest China. Methods: This multi-center observational study was conducted across six medical centers in Shaanxi province, Northwest China. Clinical data were retrospectively collected from neonates admitted between 2016 and 2020. Kaplan-Meier analysis was utilized to estimate survival rates, while high-throughput sequencing platforms were employed to detect mutations causing congenital anomalies. Results: Among 73,967 neonates requiring hospital care, 424 neonatal deaths were recorded, leading to a neonatal mortality rate of 0.57%. The primary causes of death included neonatal respiratory distress syndrome (23.8%), birth asphyxia (19.8%), neonatal septicemia (19.3%), and congenital anomalies (13.6%). The leading causes of neonatal deaths due to congenital anomalies were congenital heart defects (38.6%), bronchopulmonary dysplasia (14.0%), and inherited metabolic disorders (10.5%). Genetic analysis identified 83 pathogenic or likely pathogenic variants in 23 genes among the neonates with congenital anomalies, including four novel mutations (c.4198+1G>T, c.1075delG, c.610-1G>A, c.7769C>T) in the ABCC8, CDKL5, PLA2G6, and NIPBL genes. Conclusion: Congenital anomalies represent a significant and preventable cause of neonatal deaths in Northwest China. Early detection of congenital anomalies through genetic testing and comprehensive prenatal care are crucial for reducing neonatal mortality rates and improving pregnancy outcomes.

Clinical and microbiological characteristics of anaerobic bacteremia during 1994-2019: A Danish population-based cohort study.

OBJECTIVES: Bacteremia with anaerobic bacteria is generally a marker of severe prognosis. However, population-based data is lacking. Our aim was to describe the epidemiology and the 30-day mortality rate of anaerobic bacteremia in a Danish population-based setting. METHODS: In this population-based cohort study, all first-time episodes of anaerobic bacteremia from the North Denmark Bacteremia Research Database during 1994-2019 were identified. Information on comorbidities, discharge diagnoses, and mortality was retrieved. 30-day mortality rates were calculated and a multivariate logistic regression analysis to identify risk factors for death was performed. RESULTS: 1750 episodes with anaerobic bacteremia were identified, corresponding to an incidence rate of 12.5 per 100,000 inhabitants (increasing from 11.2 in 1994-2014 to 17.7 in 2015-2019). Of these episodes, a third were polymicrobial, and the majority (70 %) of patients had one or more comorbid conditions. Abdominal infection was the source of bacteremia in 61 % of patients, while it was unknown for 15 %. The most frequently isolated genera were Bacteroides (45 %), Clostridium (20 %) and Fusobacterium (6 %). The overall crude 30-day mortality rate was 27 %, but rates were even higher for patients of high age, with liver disease, and solid tumors. The odds ratio (OR) for 30-day mortality was 1.32 for Clostridium species, and 1.27 for polymicrobial bacteremia with aerobic bacteria. CONCLUSIONS: The incidence rate of anaerobic bacteremia increased, and the 30-day mortality rate remained high during the study period. Multiple factors influence 30-day mortality rates, including high age, liver disease, solid tumor, polymicrobial bacteremia, and bacteremia with Clostridium species.

A New Approach for Understanding International Hospital Bed Numbers and Application to Local Area Bed Demand and Capacity Planning.

Three models/methods are given to understand the extreme international variation in available and occupied hospital bed numbers. These models/methods all rely on readily available data. In the first, occupied beds (rather than available beds) are used to measure the expressed demand for hospital beds. The expressed occupied bed demand for three countries was in the order Australia > England > USA. Next, the age-standardized mortality rate (ASMR) has dual functions. Less developed countries/regions have low access to healthcare, which results in high ASMR, or a negative slope between ASMR versus available/occupied beds. In the more developed countries, high ASMR can also be used to measure the 'need' for healthcare (including occupied beds), a positive slope among various social (wealth/lifestyle) groups, which will include Indigenous peoples. In England, a 100-unit increase in ASMR (European Standard population) leads to a 15.3-30.7 (feasible range) unit increase in occupied beds per 1000 deaths. Higher ASMR shows why the Australian states of the Northern Territory and Tasmania have an intrinsic higher bed demand. The USA has a high relative ASMR (for a developed/wealthy country) because healthcare is not universal in the widest sense. Lastly, a method for benchmarking the whole hospital's average bed occupancy which enables them to run at optimum efficiency and safety. English hospitals operate at highly disruptive and unsafe levels of bed occupancy, manifesting as high 'turn-away'. Turn-away implies bed unavailability for the next arriving patient. In the case of occupied beds, the slope of the relationship between occupied beds per 1000 deaths and deaths per 1000 population shows a power law function. Scatter around the trend line arising from year-to-year fluctuations in occupied beds per 1000 deaths, ASMR, deaths per 1000 population, changes in the number of persons hidden in the elective, outpatient and diagnostic waiting lists, and local area variation in births affecting maternity, neonatal, and pediatric bed demand. Additional variation will arise from differences in the level of local funding for social care, especially elderly care. The problems associated with crafting effective bed planning are illustrated using the English NHS as an example.