Categories
Nevin Manimala Statistics

Association Between Naples Prognostic Score and All-Cause Mortality in Individuals with Cardio-Renal-Metabolic Multimorbidity: A Cohort Study

High Blood Press Cardiovasc Prev. 2026 May 5. doi: 10.1007/s40292-026-00803-7. Online ahead of print.

ABSTRACT

INTRODUCTION: The Naples Prognostic Score (NPS) has demonstrated prognostic value in oncology and certain chronic diseases. Its utility in cardio-renal-metabolic multimorbidity (CRMM) remains unexplored.

AIM: This study aims to evaluate the association between NPS and all-cause mortality in individuals with CRMM.

METHODS: We analyzed data from the National Health and Nutrition Examination Survey (1999-2018) comprising 3,602 adults with CRMM. The NPS was derived from serum albumin, total cholesterol (TC), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR). Weighted Cox proportional hazards models and restricted cubic spline (RCS) analysis were used to evaluate associations between NPS and all-cause mortality.

RESULTS: Over a median follow-up of 79 months, 1,621 (41.4%) deaths occurred. After comprehensive adjustment for potential confounders, each 1-point increase in NPS was associated with a 24.6% higher risk of all-cause mortality (HR 1.246, 95% CI 1.150-1.350, P < 0.0001). The HRs for all-cause mortality was 1.133 (95 % CI: 0.846-1.518, P = 0.401) in the medium NPS group and 1.721 (95 % CI: 1.248-2.375, P = 0.0009) in the high NPS group, as compared with the low NPS group. RCS analysis indicated a nonlinear relationship between NPS and all-cause mortality among participants with CRMM (Pnonlinear=0.014). Weighted quantile sum regression analysis identified NLR as the primary contributor to mortality risk (weight: 0.612 at 2 years, 0.580 at 5 years), followed by TC.

CONCLUSION: This study identified a positive, nonlinear association between NPS and all-cause mortality in CRMM individuals. The NPS integrates inflammatory, metabolic, and nutritional biomarkers into a practical prognostic tool that may enhance risk stratification and guide personalized management in multimorbidity.

PMID:42084825 | DOI:10.1007/s40292-026-00803-7

Categories
Nevin Manimala Statistics

High Risk Follow-Up of NICU Graduates – A Quality Improvement Study at a Tertiary Care Centre

Indian J Pediatr. 2026 May 5. doi: 10.1007/s12098-026-06162-4. Online ahead of print.

ABSTRACT

OBJECTIVES: To increase the facility-based follow-up rate of high-risk neonates at the first visit and subsequent visits until 24 mo of age.

METHODS: This quality improvement study was conducted in a tertiary neonatal intensive care unit between July 2023 and May 2025. Baseline data were collected, and multiple plan-do-study-act cycles were implemented, including structured pre-discharge counseling, voice call reminders, standard operating procedures, and integration with the District Early Intervention Center. Statistical process control charts were used to monitor the monthly follow-up rates at scheduled visits through 12 mo of age.

RESULTS: A total of 1083 high-risk infants were discharged during the study (mean 46 per mo). Follow-up attendance improved significantly at the first visit (from 38% to 100%), at 1 mo (from 36% to 79%), 4 mo (from 32% to 62%), 8 mo (from 26% to 48%), and 12 mo (from 24% to 45%). The pre-discharge counseling rate increased from 40% to > 85%. Voice calls successfully reached 79% of families, and video consultations enabled the assessment of 30-40% of missed visits. Staff transitions lead to special cause variations, underscoring the need for systematic training.

CONCLUSIONS: Multipronged low-cost interventions can achieve substantial and sustained improvements in the follow-up rate of high-risk infants in a resource-limited public hospital setting.

PMID:42084819 | DOI:10.1007/s12098-026-06162-4

Categories
Nevin Manimala Statistics

Deciphering potential significances of biliary microbiome in cholelithiasis and cholangiocarcinoma

Antonie Van Leeuwenhoek. 2026 May 5;119(6):117. doi: 10.1007/s10482-026-02333-7.

ABSTRACT

BACKGROUND: This study aims to investigate the role of biliary microbiota (defined as the microbial community colonizing the biliary tract, including the gallbladder, intrahepatic and extrahepatic bile ducts) in the pathogenesis of cholelithiasis (CHOL) and cholangiocarcinoma (CCA), with a focus on the associations between microbial communities and these biliary diseases.

METHODS: We conducted a comprehensive bioinformatics analysis using high-throughput sequencing data obtained from the Sequence Read Archive (SRA) database to characterize the composition of microbial communities in patients with CCA and CHOL. We performed operational taxonomic unit (OTU) clustering, statistical analyses and Mendelian randomization (MR) to elucidate the causal relationships between specific bacterial strains and disease outcomes.

RESULTS: Our findings revealed differences in the relative abundance of specific microbial taxa among research groups. The CCA + CHOL group exhibited a significant increase in the abundance of Fusobacteria, particularly Fusobacterium, compared to the Control or CCA group. This suggests a potential pathogenic role for these microorganisms in CHOL formation. Additionally, the CCA group demonstrated a higher diversity index, indicating that increased microbial diversity may contribute to the progression of the disease. MR analysis identified nominally significant statistical associations between specific bacterial strains. However, the presence of pleiotropy in some analyses necessitates caution when interpreting causal relationships.

CONCLUSION: Our study highlights the complex interplay between biliary microbiota and the pathogenesis of CHOL and CCA. Modulating biliary microbiota may represent a promising therapeutic strategy for managing these diseases. Future research should focus on the functional roles of specific taxa in bile metabolism and immune modulation, ultimately improving our understanding of biliary health and disease management.

PMID:42084801 | DOI:10.1007/s10482-026-02333-7

Categories
Nevin Manimala Statistics

MRI-based cervical ring apophysis maturation: a probabilistic approach to legal age thresholds

Int J Legal Med. 2026 May 5. doi: 10.1007/s00414-026-03824-y. Online ahead of print.

ABSTRACT

The primary question in forensic age assessment is whether an individual has reached a legally defined age threshold. Cervical ring apophysis maturation has been proposed as a potential age indicator; however, it has previously been studied only with ionizing imaging. This study aimed to evaluate cervical ring apophysis maturation using magnetic resonance imaging (MRI) and to determine stage-specific probabilities for legally relevant age thresholds.This retrospective cross-sectional study included 1000 individuals (552 females, 448 males) aged 9.64-26.67 years. Maturation of the ring apophysis at C2-C4 was assessed using a five-stage MRI-adapted system. Sex-specific descriptive statistics were calculated. Age-related stage transitions were modeled using multinomial logistic regression, and conditional probabilities were estimated for the 15-, 16-, 18-, and 21-year thresholds. Observer agreement was assessed using weighted kappa.Maturation progressed sequentially from C2 to C4 in both sexes, with a broad transitional zone between stages 3 and 4. In females, median age at stage 4 ranged from 18.5 to 20.2 years in males, approximately 22 years. However, minimal ages for stage 4 were markedly lower (12.5 years in females, 13.1 years in males), and stage 3 persisted into the third decade. At stage 4, the probability of being ≥ 18 years reached 0.96-0.98 in males but only 0.54-0.61 in females. For the ≥ 21-year threshold, probabilities at stage 4 were approximately 0.65-0.70 in males and 0.34-0.40 in females.Cervical ring apophysis maturation on MRI represents a continuous and overlapping biological process. It should therefore be interpreted as a probabilistic indicator for legal thresholds rather than a definitive test of adulthood.

PMID:42084790 | DOI:10.1007/s00414-026-03824-y

Categories
Nevin Manimala Statistics

A meta-analysis of prevalence of mastitis in dairy Cattle in Algeria

Trop Anim Health Prod. 2026 May 5;58(4):249. doi: 10.1007/s11250-026-05031-8.

ABSTRACT

Mastitis is a major cause of economic losses in the dairy industry. The aim of the present study was to examine the overall prevalence of mastitis in Algeria using a systematic review and meta-analysis. The search strategy was performed for relevant literature published from 2002 to 2023 in English and French language. The databases included were PubMed, ScienceDirect, GoogleScholar, Scopus, Springer, Algerian national database i.e., the Scientific Information Database (pnst.cerist.). A total of 4,698 dairy cows were included in the 20 eligible studies for this meta-analysis. The prevalence of mastitis was estimated at 41% [95% CI 32-49%, PI 10-81%]. Cochran’s Q statistic was 405.5 (df = 19, p < 0.001), with I² = 95% and τ² = 0.0385, indicating substantial heterogeneity. The results indicated that there is high heterogeneity among studies for overall analysis. In conclusion, estimating prevalence of mastitis among cattle in Algeria, through meta-analysis (MAs) can provide adequate measures to control mastitis infection, Moreover, effective early diagnosis and proper medication may help our country to reduce incidence of mastitis and economic losses in dairy industry.

PMID:42084754 | DOI:10.1007/s11250-026-05031-8

Categories
Nevin Manimala Statistics

Knife stab injuries in Stuttgart 2014-2024: an epidemiological overview

Unfallchirurgie (Heidelb). 2026 May 5. doi: 10.1007/s00113-026-01708-9. Online ahead of print.

ABSTRACT

BACKGROUND: Knife stab injuries are rare in Germany but are gaining increasing clinical, societal and political relevance. While nationwide crime statistics document a marked rise in knife attacks, there is currently a lack of robust clinical data on hospitalized cases.

OBJECTIVE: The aim of this study was to present the temporal development of such injuries in Stuttgart over the past 10 years.

METHODS: A retrospective, single-center cohort analysis was conducted of all patients hospitalized with knife stab injuries inflicted by third parties at the Klinikum Stuttgart between 2014 and 2024. Included were externally inflicted injuries occurring in Stuttgart; self-inflicted injuries, accidents without external involvement and cases treated exclusively on an outpatient basis were excluded.

RESULTS: There was a significant increase in hospitalized patients with stab injuries with a peak in 2021. Overall, this corresponds to an increase of approximately 100% over 10 years (10% per year). During the coronavirus disease 2019 (COVID-19) pandemic, around 70% more cases occurred compared to other years. The monthly distribution showed significant peaks in April, August and December. The clustering on Sundays and Mondays indicates an elevated risk during weekend nights. A total of 92% of affected individuals were male, with a mean age of 31.1 years.

CONCLUSION: Hospitalized patients with knife stab injuries in Stuttgart significantly increased between 2014 and 2024, particularly during the COVID-19 years. The majority of the affected individuals were young men. The results confirm the clinical perception of an increasing number of severe knife stab injuries requiring hospital treatment in the Klinikum Stuttgart.

PMID:42084748 | DOI:10.1007/s00113-026-01708-9

Categories
Nevin Manimala Statistics

Integrated source apportionment, ecological risk assessment, and machine learning-based human health risk evaluation of potentially toxic elements in stream sediments of Odisha, eastern India

Environ Geochem Health. 2026 May 5;48(7):333. doi: 10.1007/s10653-026-03217-5.

ABSTRACT

Stream sediments, as long-term sinks for potentially toxic elements (PTEs), provide valuable insights into both natural and anthropogenic contamination. This study presents a comprehensive assessment of PTE contamination, ecological risk, and human health implications across Odisha, eastern India- a region characterized by complex Precambrian geology, intensive agriculture, mining, and industrialization. Concentrations of ten PTEs (Cr, Cd, As, Ni, Cu, Zn, Co, Mn, V, and W) from 28,111 locations collected under the Geological Survey of India NGCM program indicate moderate to very high contamination across the state, with pronounced hotspots in mineralized and industrial belts. Multivariate analyses, including principal component analysis and hierarchical clustering, reveal dominant lithogenic control over Cr, Mn, Ni, Co, Cu, Zn, and V, while anthropogenic enrichment of As, Cd, and W is linked to mining, industrial emissions, and agricultural activities. Non-negative matrix factorization corroborates these source apportionment results. Pollution indices, including enrichment factor, geo-accumulation index, pollution load index, and potential ecological risk index, indicate moderate to high ecological risk in several regions. Human health risk assessment shows that 69.05% of locations exhibit high non-carcinogenic risk (HI > 1) for children, whereas adults show non-carcinogenic and carcinogenic risks in < 0.5% and > 65% of locations, respectively, primarily associated with Cr, Cd, and As. Sobol sensitivity analysis demonstrates that concentration variability predominantly governs carcinogenic risk estimates. Additionally, a machine learning-based framework is developed to classify risk and non-risk zones for both adults and children. This integrated approach provides critical insights for public health protection, targeted remediation, and sustainable land-use planning.

PMID:42084746 | DOI:10.1007/s10653-026-03217-5

Categories
Nevin Manimala Statistics

Multi-variant genotyping identifies association of TRPC6 rs36111323 with diabetic kidney disease in a South Indian population

Mol Biol Rep. 2026 May 5;53(1):714. doi: 10.1007/s11033-026-11903-x.

ABSTRACT

BACKGROUND: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease and end-stage kidney failure worldwide. Genetic factors contribute to inter-individual and population-specific susceptibility to DKD. Data from South Indian populations are limited, highlighting the need for region-specific genetic association studies in DKD.

METHODS AND RESULTS: This case-control study included 125 South Indian individuals: 60 patients with diabetes and proteinuria (DKD), 34 patients with diabetes without kidney disease, and 31 healthy controls. Genomic DNA was isolated and nine variants were genotyped using amplification refractory mutation system polymerase chain reaction (ARMS-PCR). Variant frequencies were compared among groups. In-silico pathogenicity prediction tools and Odds ratio (OR) with 95% confidence intervals (CIs) were estimated using multivariable logistic regression analyses were used to assess the association between genetic variants and DKD risk. Data visualization was performed using R statistical software. Among the nine variants analyzed, the TRPC6 rs36111323 (G > A; p.A404V) was independently associated with DKD (OR = 2.76; 95% CI = 1.04-7.34; p = 0.0418). This variant was more frequent in patients with DKD compared with diabetic patients without nephropathy and healthy controls. Pathogenicity prediction analyses supported a potentially deleterious effect of the variant.

CONCLUSIONS: The TRPC6 rs36111323 variant appears to be associated with increased susceptibility to diabetic kidney disease in a South Indian population, suggesting a population-specific genetic risk factor. Validation in larger cohorts and functional studies is warranted to clarify its role and potential application in precision nephrology.

PMID:42084711 | DOI:10.1007/s11033-026-11903-x

Categories
Nevin Manimala Statistics

Epidemiological trends and burden of gout in China and the European Union: a GBD 2023 and Mendelian randomization study

Clin Rheumatol. 2026 May 5. doi: 10.1007/s10067-026-08135-6. Online ahead of print.

ABSTRACT

BACKGROUND: Gout is one of the most common inflammatory arthritides and represents a growing health burden worldwide. This study compares the disease burden of gout and its attributable risk factors between China and European Union (EU) countries from 1990 to 2023 using data from the Global Burden of Disease Study 2023 (GBD 2023). In addition, the study evaluates potential causal relationships between key risk factors and gout and projects future trends in disease burden.

METHODS: Using GBD 2023 data, we analyzed the epidemiology of gout in China and EU countries. Analyses included descriptive statistics and age- and sex-specific comparisons. Joinpoint regression models were used to calculate annual percentage changes (APC) and average annual percentage changes (AAPC) to assess long-term trends. An autoregressive integrated moving average (ARIMA) model was applied to project gout burden trends in China and EU countries from 2024 to 2040. In addition, a two-sample Mendelian randomization (MR) approach was used to investigate the potential causal relationship between key risk factors and gout at the genetic level.

RESULTS: In 2023, China’s age-standardized incidence rate (ASIR), prevalence rate (ASPR), and disability-adjusted life year rate (ASDR) for gout were 151.27/100,000, 809.69/100,000, and 25.14/100,000, respectively, all higher than in 1990. In comparison, EU countries showed lower levels for these indicators in both 1990 and 2023. Joinpoint regression analysis demonstrated an overall increasing trend in gout burden in both China and the EU between 1990 and 2023, although China experienced a brief decline in APC between 1990 and 1994. The burden of gout was higher among males than among females. Projections suggest that ASIR, ASPR, and ASDR will continue to increase in both China and European countries between 2024 and 2040. Mendelian randomization analysis further indicated a significant positive causal relationship between body mass index (BMI) and gout.

CONCLUSION: This study combines GBD 2023 epidemiological data with Mendelian randomization analysis to characterize trends in the burden of gout in China and EU countries. The findings show a continuing increase in gout burden over time, particularly in China. The identified causal association between elevated BMI and gout highlights the importance of addressing modifiable metabolic risk factors to help reduce the future burden of gout. Key Points • An increasing burden of gout could be observed in China and the European Union from 1990 to 2023. • A higher age-standardized burden of gout was observed in China than in the European Union. • Future projections indicate that the burden of gout will continue to increase through 2040. • A causal association between elevated body mass index and gout risk was supported by Mendelian randomization analysis.

PMID:42084706 | DOI:10.1007/s10067-026-08135-6

Categories
Nevin Manimala Statistics

Evolution of cefoperazone-sulbactam consumption in Romania between 2011 and 2024

Eur J Clin Microbiol Infect Dis. 2026 May 5. doi: 10.1007/s10096-026-05494-5. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this study is to describe the evolution of cefoperazone-sulbactam consumption in Romania between 2011 and 2024. The use of this fixed-dose combination is not recommended by the World Health Organisation as it may result in selection of antimicrobial resistance.

METHODS: This retrospective study analyzed the data on antibiotic consumption collected by the National Center for Surveillance and Control of Communicable Diseases which is based on data provided by the National Health Insurance Fund and the IQVIA-Multinational Integrated Data Analysis System. Antibiotic sales were converted into defined daily doses (DDDs) per 1,000 inhabitants per day.

RESULTS: The consumption of cefoperazone-sulbactam in Romania between 2011 and 2024 ranged from 0.016 to 0.021 DDD per 1000 inhabitants per day, with an average of 0.019 DDD per 1000 inhabitants per day. When adjusted for population, the RO1 macroregion registered the highest average consumption (0.033 DDDs per 1000 inhabitants per day). One-way ANOVA on DDD per 1,000 inhabitants per day data suggested that there were no statistically significant differences between macroregions (F = 2.78, p = 0.054). Although differences are observed in the mean values, they can be explained by counties with abnormally high consumption.

CONCLUSION: Educational and training activities focused on the outlier counties are necessary to raise awareness about the risk of increased selection of antimicrobial resistance. In line with the rejection of the reclassification proposal of cefoperazone-sulbactam in the updated 2025 WHO AWaRe classification of antibiotics, new government policies to ensure the discontinuation of cefoperazone-sulbactam use in Romania are needed.

PMID:42084702 | DOI:10.1007/s10096-026-05494-5