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Development of Trivariate Multiscalar-Standardized Drought Index (TMSDI) for assessing drought characteristics

Environ Monit Assess. 2025 Feb 11;197(3):268. doi: 10.1007/s10661-025-13742-y.

ABSTRACT

Drought is an extensive natural hazard influenced by human activities. Drought has a substantial impact on environmental systems and socioeconomic activities globally, posing serious challenges to water resources, agriculture, and ecosystems. Drought as a complicated natural occurrence is difficult to monitor and anticipate. However, to address the detrimental issues of drought, this study examined the innovative Trivariate Multiscalar-Standardized Drought Index (TMSDI). The climatic factors of precipitation, temperature, and Normalized Difference Vegetation Index (NDVI) are components in the development of TMSDI. To check the association of the innovative index with the another drought indices, this study evaluated correlations between the proposed index (TMSDI) and traditional drought indices, i.e., the Standardized Precipitation Index (SPI) and the Standardized Precipitation Temperature Index (SPTI) at 1-, 3-, 6-, 9-, 12-, 24-, and 48-month time scales. The outcomes demonstrate that there is a consistent relationship between the TMSDI and SPI due to higher values of correlation. The lower correlation between TMSDI and SPTI shows that there is a substantial and consistent relationship between TMSDI and SPI than TMSDI and SPTI. Moreover, the long-term behavior of different drought conditions indicates that extreme drought is more likely than extreme wet across the Markov chain’s Steady States Probabilities (SSPs). Consequently, the proposed index (TMSDI) is recommended as an effective tool to precisely and accurately monitor drought conditions over different time scales within different climate factors.

PMID:39932606 | DOI:10.1007/s10661-025-13742-y

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Association between nutrient patterns and odds of depressive symptomatology: a population-based cohort of older adults followed during 15-y

Eur J Nutr. 2025 Feb 11;64(2):88. doi: 10.1007/s00394-025-03597-x.

ABSTRACT

PURPOSE: Nutrition, as a modifiable exposure, seems relevant to prevent depression. Several nutrients have been associated with a lower risk of depression in older adults, but longitudinal studies examining nutrient combinations are lacking. Therefore, we investigated the association between a posteriori nutrient patterns and the odds of depressive symptomatology (DS) in older adults over time.

METHODS: The sample included participants from the French Three-City cohort, a prospective population-based study focusing on adults ≥ 65 years. Nutrient intakes were assessed using a 24-hour recall in 2001 and Principal Component Analysis based on 40 nutrients, was performed to identify nutrient patterns. DS was assessed at each visit (up to eight visits until 2018) and defined by a Center for Epidemiologic Studies-Depression score ≥ 16 and/or antidepressant medication. Random effect logistic regression was performed to examine the association between nutrient patterns and DS over time controlled for potential confounding variables.

RESULTS: The study sample comprised 1,063 individuals (mean age 75.6y +/- 4.8) and 39.3% experienced DS at least once during a median follow-up of 11.5 years. Among 4 identified nutrient patterns, the first pattern characterised by high intake of magnesium, hydroxybenzaldehydes, stilbenes, dihydroflavonols, vitamin B6, lignans, tyrosols, folates, vitamins B3, B5, B1 and proanthocyanidins, was significantly associated with lower odds of DS over time (OR + 1 point = 0.85, 95% CI=[0.75;0.96]).

CONCLUSIONS: In this large sample of older adults, a mixed nutrient pattern was associated with lower odds of DS over time, offering valuable insights into nutrient potential role in mental health among older adults.

PMID:39932601 | DOI:10.1007/s00394-025-03597-x

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Global burden of central nervous system tumors and cancers in older adults: the global burden of disease study 2021

J Neurol. 2025 Feb 11;272(3):200. doi: 10.1007/s00415-025-12928-1.

ABSTRACT

BACKGROUND: This study aims to elucidate and predict the global disease burden and trends associated with central nervous system (CNS) tumors and cancers among older patients.

METHODS: Data from the Global Burden of Disease 2021 database were used to calculate the age-standardized incidence rate (ASIR), prevalence rate (ASPR), death rate (ASDR), disability-adjusted life-years (DALYs), and the average annual percentage change (AAPC) to assess burden and trends from 1990 to 2021. A Bayesian age-period-cohort model was applied to project the global burden of CNS tumors and cancers in older patients over the next 30 years.

RESULTS: The ASIR among older adults worldwide increased by 3.59 cases per 100,000 population from 1990 to 2021, with an AAPC of 0.86%. The ASPR rose by 9.83 cases per 100,000 people, with an AAPC of 1.57%. The ASDR increased from 10.99 per 100,000 people to 13.01 per 100,000 people. DALYs also rose continuously from 234.21 per 10,000 population to 265.1, with an AAPC of 0.4%. It is anticipated that from 2021 to 2051, the ASIR, ASDR, and age-standardized DALYs will exhibit a declining pattern; however, the ASPR will initially experience a slight decrease before gradually rising again.

CONCLUSIONS: The global burden has significantly increased from 1990 to 2021. Projections indicate that over the next 30 years, the total number of patients will rise, while the age-standardized rates will show a slow downward trend.

PMID:39932600 | DOI:10.1007/s00415-025-12928-1

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The CPAK classification in three-dimensional measurements is consistent with those in two-dimensional measurements

Arch Orthop Trauma Surg. 2025 Feb 11;145(1):160. doi: 10.1007/s00402-024-05742-3.

ABSTRACT

PURPOSE: This study aimed to evaluate whether the coronal plane alignment of the knee (CPAK) classification between three-dimensional (3D) measurement using computed tomography (CT) and two-dimensional (2D) measurement using long leg radiographs (LLR) match.

METHODS: A retrospective radiographic study compared pre-operative CT and LLR measurements in 69 patients undergoing primary total knee arthroplasty. The arithmetic hip-knee-ankle angle (aHKA), joint line obliquity (JLO), and CPAK types were calculated. A match in the CPAK classification was defined as “complete agreement” and agreement was considered partial if the CPAK was located in an adjacent column. If the discrepancy was more than one column, then it was recorded as no agreement.

RESULTS: The mean aHKA was – 0.6° ± 4.4° in 3D measurement and – 1.1° ± 4.3° in 2D measurement (p = 0.42). The mean JLO was 174.2° ± 3.5° in 3D measurement and 175.2° ± 3.6° in 2D measurement (p = 0.07). There was no statistically significant difference in either aHKA or JLO obtained by the two measurement methods, each within 1°. However, the complete agreement was confirmed in only 60.8% of cases. After incorporating even partial agreements including neighboring columns, the agreement rate was 91.2%. The disagreement was noticed in 8.8% of the cases.

CONCLUSION: The 3D measurement method enables aHKA and JLO calculations similar to those of 2D measurements. However, complete agreement with the CPAK classification in all cases was not obtained. On the other hand, 2D measurement has the advantage that JLO can be easily appreciated and remais more intuitive for surgeons.

LEVEL OF EVIDENCE: III.

PMID:39932590 | DOI:10.1007/s00402-024-05742-3

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Dietary patterns, nutrients, and risk of expiratory airflow limitation in children and adolescents

Eur J Nutr. 2025 Feb 11;64(2):85. doi: 10.1007/s00394-025-03604-1.

ABSTRACT

BACKGROUND: Increasing global pediatric respiratory diseases require understanding modifiable factors affecting lung function. We explored the association between dietary patterns, nutrients and the risk of expiratory airflow limitation (EAL) in children and adolescents.

METHODS: Dietary intake was collected using a validated food frequency questionnaire (FFQ) with 110 food items. Factor analysis was employed to determine dietary patterns. Pulmonary function was measured using a medical-grade pulmonary function analyzer. EAL was defined as the ratio of Forced Expiratory Volume in one second to Forced Vital Capacity (FEV1/FVC) < 0.8.

RESULTS: A total of 611 EAL cases occurred in 3,204 participants, with a prevalence of 19.07%. Four primary dietary patterns were identified (animal, healthy, sweet, and plant foods), which explained 44% of the variance in food consumption. The plant foods pattern (fourth quartile vs. first quartile intake) was associated with a reduced risk of EAL (Odds Ratio [OR] = 0.71, 95% Confidence Interval [CI]: 0.53, 0.94; Pfor trend < 0.02). Higher fruit consumption (high vs. low) in plant foods pattern was associated with lower EAL risk (OR = 0.79, 95% CI: 0.62, 0.99, Pfor trend = 0.04). Every standard deviation increase in foods (Chinese sauerkraut, pickled foods) and nutrients (total dietary fiber, soluble dietary fiber, and pyridoxine) in plant foods was all positively associated with FEV1 /FVC (all P < 0.05).

CONCLUSIONS: Long-term intake of plant foods pattern enriched with dietary fiber and pyridoxine is promising for lung function protection in children and adolescents.

PMID:39932587 | DOI:10.1007/s00394-025-03604-1

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Predictive modeling of methadone poisoning outcomes in children ≤ 5 years: utilizing machine learning and the National Poison Data System for improved clinical decision-making

Eur J Pediatr. 2025 Feb 11;184(2):186. doi: 10.1007/s00431-024-05957-x.

ABSTRACT

The escalating therapeutic use of methadone has coincided with an increase in accidental ingestions, particularly among children ≤ 5 years. This study utilized machine learning (ML) methodologies on data from the National Poison Data System (NPDS) to predict pediatric methadone poisoning outcomes to enhance clinical decision-making. We analyzed 140 medical parameters from pediatric patient records. Pre-processing steps, including synthetic oversampling, addressed the imbalanced distribution of the outcome variable. We evaluated various ML models in multiclass classification tasks. Random forest showed versatility with an accuracy of 0.96 and a strong receiver operating characteristic area under the curve (ROC AUC) (0.98). Meanwhile, the support vector machine (SVM) had the highest negative predictive value (NPV) (0.64). Shapley Additive exPlanation (SHAP) analysis identified key predictors such as coma, cyanosis, respiratory arrest, and respiratory depression for predicting serious outcomes.

CONCLUSION: This research emphasizes the utility of ML in clinical settings for early detection and intervention in methadone poisoning events in children, highlighting the synergy between data science and clinical expertise.

WHAT IS KNOWN: • The increased use of methadone for treatment has been associated with a rise in accidental ingestions, particularly in children under five years old. • Methadone poisoning in young children can lead to severe outcomes, including respiratory depression and coma, requiring urgent medical intervention.

WHAT IS NEW: • Machine learning models, particularly Random Forest and Bagging, outperform traditional methods in predicting methadone poisoning outcomes in children. • SHAP analysis provides novel insights into key predictors of severe outcomes, enabling improved clinical decision-making and risk stratification.

PMID:39932576 | DOI:10.1007/s00431-024-05957-x

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Association between early radiographic chest findings and clinical outcomes in pediatric drowning: a retrospective study in a tertiary Italian hospital

Eur J Pediatr. 2025 Feb 11;184(2):187. doi: 10.1007/s00431-025-06029-4.

ABSTRACT

Pediatric drowning incidents, both fatal and non-fatal, represent a significant challenge in emergency medicine, particularly for children under 14 years of age. Drowning is a leading cause of unintentional injury-related deaths, with children aged one to four years being especially vulnerable. Accurate and timely assessment, particularly through chest imaging, such as chest radiography (CXR) and lung point-of-care ultrasound (LUS), is crucial for evaluating pulmonary complications and guiding treatment decisions. This retrospective study analyzed 64 pediatric drowning cases in Istituto Giannina Gaslini, Italy, from 2012 to 2023. For all patients, demographic data, vital parameters, blood tests upon PED admission and at 24 h, need for intensive care unit admission, length of stay, therapies administered, ventilatory support in the PED and in the hospital ward, and mortality were recorded. The patients were subsequently divided into two groups based on the chest X-ray result. The results indicated that pathological CXR findings upon admission were associated with a higher likelihood of hospital admission, prolonged hospital stay, and more severe clinical outcomes, including the need for oxygen supplementation and antibiotic therapy. Patients with abnormal CXR findings also exhibited lower oxygen saturation, Glasgow Coma Scale scores, and body temperature upon admission, reflecting a more significant physiological compromise, and higher RCP values at 24 h.

CONCLUSION: Although the majority of non-fatal drowning patients recovered without lasting neurological deficits, the findings suggest that CXR plays a critical role in early management, assisting in the identification of those at greater risk for complications.

WHAT IS KNOWN: • Fatal and non-fatal pediatric drowning incidents may represent a critical issue in pediatric emergency medicine, requiring prompt assessment and accurate management upon admission, even if standardized protocols are lacking.

WHAT IS NEW: • Chest imaging in the initial assessment of pediatric drowning cases may serve as a fundamental tool to support early clinical decision-making, particularly when integrated with other key parameters such as neurological status, vital signs, and blood exams.

PMID:39932575 | DOI:10.1007/s00431-025-06029-4

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Association between erythrocyte polyunsaturated fatty acids and gestational diabetes mellitus in Chinese pregnant women

Eur J Nutr. 2025 Feb 11;64(2):87. doi: 10.1007/s00394-025-03603-2.

ABSTRACT

PURPOSE: To explore the associations of erythrocyte polyunsaturated fatty acids (PUFAs) with the risk of gestational diabetes mellitus (GDM) in pregnant women.

METHODS: A total of 951 women in mid-pregnancy (20-28 weeks of gestation) were recruited during 2017-2018. Erythrocyte PUFAs were measured by gas chromatography and expressed as a percentage of total fatty acids. A 75 g oral glucose tolerance test was used for GDM diagnosis. Logistic regression and restricted cubic spline models were conducted.

RESULTS: Among the 951 pregnant women, 180 were diagnosed with GDM (18.93%). For n-3 PUFAs, each standard deviation (SD) increase in α-linolenic acid (ALA) and docosapentaenoic acid (DPA) was associated with multivariable-adjusted odds ratios (ORs) of 0.789 (95% CI: 0.649, 0.961; P = 0.018) and 0.782 (95% CI: 0.638, 0.957; P = 0.017), respectively. However, the associations became marginally significant after post hoc false-discovery rate (FDR) correction (both PFDR=0.065). A significant nonlinear association was observed for ALA and GDM risk (P– nonlinearity=0.001). For n-6 PUFAs, γ-linolenic acid (GLA) was significantly associated with a 46.0% higher risk of GDM [OR (95%CI): 1.460 (1.195, 1.785), PFDR=0.003) per SD increase], with a significant non-linear relationship (P– nonlinearity=0.031). Arachidonic acid (AA) showed a borderline significant association with lower GDM risk after FDR correction [OR (95%CI): 0.736 (0.568, 0.953), P = 0.020, PFDR=0.065].

CONCLUSION: Erythrocyte GLA was significantly associated with an increased risk of GDM in pregnant women. Furthermore, we observed for the first time significant non-linear associations of erythrocyte ALA and GLA with GDM risk.

CLINICAL TRIAL REGISTRY NUMBER: NCT03023293, 2019-01-11.

PMID:39932572 | DOI:10.1007/s00394-025-03603-2

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Global evolution of breast cancer incidence in childbearing-age women aged 15-49 years: a 30-year analysis

J Cancer Res Clin Oncol. 2025 Feb 11;151(2):75. doi: 10.1007/s00432-025-06113-0.

ABSTRACT

BACKGROUND: Breast cancer (BC) poses an increasing threat to women’s health, yet its characteristics in women of childbearing age (WCBA) are infrequently reported. This study aims to investigate the patterns and trends in BC incidence among WCBA over the past decades.

MATERIALS AND METHODS: This study focuses on BC incidence in women aged 15-49 years, consistent with the WHO definition of WCBA. Estimates and 95% uncertainty intervals (UIs) for BC incidence in WCBA were obtained from the Global Burden of Diseases Study 2021. We utilized an age-period-cohort (APC) model to estimate the overall annual percentage change in incidence (net drift, % per year) and the annual percentage change within each age group (local drift, % per year). This model also provided fitted longitudinal age-specific rates adjusted for period deviations (age effects) and period/cohort relative risks (period/cohort effects) from 1992 to 2021.

RESULTS: In 2021, the global incidence of BC among WCBA was 561.44 thousand (95% UI 519.76 to 606.99). Between 1992 and 2021, the estimated annual change in BC incidence among WCBA was 0.47 (95% CI 0.41-0.52) worldwide, ranging from -0.43 (95% CI -0.54–0.31) in High sociodemographic index (SDI) region to 2.03 (95% CI 1.97-2.1) in Low-middle SDI region. Local drift analysis showed that higher SDI regions had higher age-standardized incidence rates among WCBA, with age effects demonstrating similar patterns across different SDI regions and increasing risk with age. Notably, the rising trend in BC incidence among WCBA occurs at progressively younger ages. Globally, unfavorable period and cohort effects were observed. All SDI regions exhibited increased period and cohort risks, except for the High SDI region, which saw a reduction in incidence rates influenced by period and cohort effects, particularly among those born after 1996.

CONCLUSION: The increasing incidence of BC among WCBA highlights the urgent need for effective intervention and preventive policies to alleviate this growing global burden.

PMID:39932566 | DOI:10.1007/s00432-025-06113-0

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Impact of Ramadan Intermittent Fasting on Salivary pH, Flow Rate, and Electrolyte Levels in Healthy Adult Men

Am J Mens Health. 2025 Jan-Feb;19(1):15579883241312396. doi: 10.1177/15579883241312396.

ABSTRACT

This before-and-after design study, which was conducted during Ramadan 2023, aimed to compare salivary flow rate (SFR), potential hydrogen (pH), and electrolyte concentrations before Ramadan (BR), at the end of Ramadan (ER), and after Ramadan (AR). Men aged 20 to 30 years who were fasting during Ramadan were recruited from the University of Monastir (Tunisia). Unstimulated saliva was collected over a 5-minute period between 10 and 11 a.m. at BR, ER, and AR. After recording the SFR, the pH was measured immediately using a pH meter. Concentrations of several salivary electrolytes (e.g., calcium, potassium, sodium, chloride, and phosphate) were determined using inductively coupled plasma-optical emission spectroscopy. Twenty-seven participants completed all three sessions. Ramadan intermittent fasting (RIF) caused significant changes only in calcium levels and pH. The mean (M)±standard deviation (SD) salivary calcium concentration decreased during ER compared to BR and AR (0.10 ± 0.08 vs. 0.21 ± 0.18 [p = .041] vs. 0.22 ± 0.20 [p = .026], respectively). The M±SD salivary pH increased during ER compared to BR (6.88 ± 0.23 vs. 6.69 ± 0.35 [p = .049], respectively). To conclude, RIF decreased salivary calcium, increased salivary pH, and did not significantly affect potassium, sodium, chloride, or phosphate. The pH change, although statistically significant, was clinically insignificant, as values remained normal. The lack of reference values for salivary calcium limits assessment of its clinical impact. There is a need for further research on the effects of RIF on saliva secretion.

PMID:39931913 | DOI:10.1177/15579883241312396