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).
CONCLUSIONS: 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.

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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

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.

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.

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).
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).
CONCLUSIONS: 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.

OBJECTIVE: 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).
CONCLUSIONS: 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.
CONCLUSIONS:

OBJECTIVE: To meta-analyze the clinical efficacy of piperacillin-tazobactam vs. carbapenems for treating hospitalized patients affected by extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales bloodstream infections (BSIs).
METHODS: Two authors independently searched PubMed-MEDLINE and Scopus database up to 17 January 2024, to retrieve randomized controlled trials (RCTs) or observational studies comparing piperacillin-tazobactam vs. carbapenems for the management of hospitalized patients with ESBL-BSIs. Data were independently extracted by the two authors, and the quality of included studies was independently assessed according to ROB 2.0 or ROBINS-I tools. Mortality rate was selected as primary outcome. Meta-analysis was performed by pooling odds ratios (ORs) retrieved from studies providing adjustment for confounders using a random-effects model with the inverse variance method.
RESULTS: After screening 3,418 articles, 10 studies were meta-analyzed (one RCT and nine retrospective observational studies; N=1,962). Mortality rate did not significantly differ between treatment with piperacillin-tazobactam vs. carbapenems (N=6; OR 1.41; 95%CI 0.96-2.07; I²=23.6%). The findings were consistent also in subgroup analyses assessing patients receiving empirical therapy (N=5; OR 1.36; 95%CI 0.99-1.85), or patients having in ≥50% of cases urinary/biliary tract as the primary BSI source (N=2; OR 1.26; 95%CI 0.84-1.89). Conversely, the mortality rate was significantly higher with piperacillin-tazobactam only among patients having in <50% of cases urinary/biliary tract as the primary source of BSI (N=3; OR 2.02; 95%CI 1.00-4.07).
CONCLUSIONS: This meta-analysis showed that, after performing appropriate adjustments for confounders, mortality and clinical outcome in patients having ESBL-producing Enterobacterales BSIs did not significantly differ among those receiving piperacillin-tazobactam compared to those receiving carbapenems.

OBJECTIVE: 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.