Nevin Manimala

Complement Ther Clin Pract. 2025 Jan 13;59:101949. doi: 10.1016/j.ctcp.2025.101949. Online ahead of print.

ABSTRACT

BACKGROUND: Maintaining optimum glycaemic control is essential to reducing comorbidity and mortality in diabetes. However, research indicates that <50 % of patients achieve their target HbA1c ranges. Laboratory studies suggest that olive leaf extract (OLE) may improve glycaemic control, however clinical studies in persons with diabetes are lacking.

METHODS: ESOLED is a pilot, randomised, placebo-controlled trial. Adults with a diagnosis of type 2 diabetes of ≥12 months duration, and not receiving insulin therapy, were eligible to participate. Participants were randomised to receive OLE or placebo capsules for 24 weeks. The primary outcome was change in HbA1c. Secondary outcomes included changes in the homeostasis model assessment of insulin resistance, diabetes-related stress, health-related quality of life, and safety.

RESULTS: Thirty-one participants were randomly assigned to the OLE (n = 16) and placebo (n = 15) groups. Analyses found no statistically significant time-group interactions for HbA1c, diabetes-related distress or health-related quality of life. Although participants receiving OLE demonstrated greater improvements in insulin sensitivity than those on placebo, there was no significant difference between groups over time. OLE and placebo were found to be well-tolerated, with no severe or serious adverse events reported in either group.

CONCLUSION: The ESOLED trial has provided preliminary evidence on the tolerability of OLE in adults with type 2 diabetes, but was inconclusive in determining whether OLE is effective at improving glycaemic control, insulin sensitivity, diabetes-related distress and quality of life. Larger trials and further exploration of the bioavailability of OLE are needed to fully assess the therapeutic potential of OLE in diabetes.

TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ACTRN12622000616774).

PMID:39818111 | DOI:10.1016/j.ctcp.2025.101949

J Psychiatr Res. 2025 Jan 10;182:204-211. doi: 10.1016/j.jpsychires.2025.01.028. Online ahead of print.

ABSTRACT

The association between childhood trauma (CT), stressful life events (SLE) and the onset and severity of major depressive disorder (MDD) has not been extensively studied. This study aimed to investigate the separate and combined association of CT and SLE with the onset and severity of MDD. A total of 503 patients with MDD and 503 controls were included. The diagnosis of MDD was assessed using the Mini-International Neuropsychiatric Interview (M.I.N.I.) by trained psychiatrists. Trauma exposure was assessed using the short form of Childhood Trauma Questionnaire (CTQ-SF) and stressful life events screening questionnaire (SLESQ). A series of conditional logistic regression models and multiple linear regression models were performed. The majority of patients with MDD (84.9%) and controls (61.6%) have reported trauma exposure. After adjusting for covariates, exposure to CT or SLE was independently associated with an elevated risk of the onset and severity of MDD. Moreover, a significant additive interaction between CT and SLE on the onset of MDD was observed (relative excess risk due to interactions [RERI] = 6.93, 95% confidence interval [CI] = 0.19-13.66). MDD patients were more likely to experience both CT and SLE compared with controls (odds ratio [OR] = 10.37, 95% CI = 4.99-21.56). MDD patients with both CT and SLE experience were more like to have more severe depressive symptoms (β = 2.16, 95% CI = 1.02-3.30). These findings underscore the importance of targeted prevention measures addressing the occurrence of CT and SLE to mitigate the risk of MDD development and the severity of depressive symptoms.

PMID:39818108 | DOI:10.1016/j.jpsychires.2025.01.028

J Sports Med Phys Fitness. 2025 Jan 16. doi: 10.23736/S0022-4707.24.16490-0. Online ahead of print.

ABSTRACT

BACKGROUND: Assessing player readiness is crucial in elite basketball. This study aims to provide a practical method for monitoring player readiness through the handgrip test and identify associations with wellness scales.

METHODS: Fifteen players (age: 25.3±3.3 years; weight: 92.2±11.8 kg; height: 1.94±0.09 m; BMI: 24.3±1.8 kg/m²; experience: 6.5±3.4 years) from an elite basketball team participated in this cohort study, which was conducted over 9 weeks of training and official competitions. All players were medically cleared and injury-free for three months prior. Daily psychometric questionnaires assessed different aspects of wellness using analog scales, combined with a handgrip test. Training cycles were developed according to the Game-Day method.

RESULTS: All parameters investigated, except the handgrip test, (means ranging from 53.43±8.06 kg to 54.03±7.79 kg) showed significant variations in the weekly training cycle (P<0.05). The linear regression results indicate that while the overall model is statistically significant (P=0.039), the predictive power of the individual independent variables is not strong, with the model able to explain approximately 4.13% of the variability in the dependent variable “Handgrip.” The calculation of the minimal detectable change (MDC) confirmed that for this variable, on average, significant changes (approximately 6.77 kg) are generally required to be noteworthy.

CONCLUSIONS: This study demonstrates that the handgrip test is not an effective tool for objectively assessing player readiness in elite basketball. Regular monitoring using this method cannot help in making informed decisions about training and competition readiness. Conversely, psychometric have shown stronger sensitivity in determining player status during the weekly training cycle.

PMID:39817900 | DOI:10.23736/S0022-4707.24.16490-0

J Sports Med Phys Fitness. 2025 Jan 16. doi: 10.23736/S0022-4707.24.16398-0. Online ahead of print.

ABSTRACT

BACKGROUND: Although runners are healthier than most of the population, they can incur a risk of injury. Literature shows a strong evidence of risk factors for running-related injuries (RRIs) based on characteristics of running. This study aimed to assess differences in psychosocial factors between injured and uninjured recreational runners.

METHODS: The study was designed as a 1-year prospective study with 108 participants (age 36.3±8.4y). The primary outcome was the incidence of RRIs at 1-year follow-up. The primary exposure variables were running-related characteristics and psychosocial factors assessed upon entry into the study. The differences between injured and uninjured runners were assessed using Mann-Whitney U Test, independent samples t-test and the effect size was assessed by Cohen’s d.

RESULTS: No statistically significant differences were observed between injured and uninjured runners in relation to the psychosocial factors examined.

CONCLUSIONS: However, it is noteworthy that we identified medium-sized effects for the amount of sleep (d=0.46) and restless sleep (d=0.43), providing a basis for future research with larger sample sizes and more refined measures of sleep patterns to elucidate the potential role of sleep in RRIs.

PMID:39817899 | DOI:10.23736/S0022-4707.24.16398-0

Nephrol Nurs J. 2024 Nov-Dec;51(6):525-530.

ABSTRACT

Nephrology nurses working in hemodialysis units face unique challenges managing multiple patients – an experience often contributing to higher levels of burnout and stress, and potentially lower job satisfaction and retention rates, exacerbating the existing nursing shortage in dialysis settings. Targeted strategies are essential to improve job satisfaction. In this study, we explored the relationship between emotional intelligence and job satisfaction among nephrology nurses working in acute and chronic hemodialysis settings. A quantitative, non-experimental, descriptive, correlational design was used. There was a statistically significant positive correlation between emotional intelligence and job satisfaction, suggesting that heightened levels of emotional intelligence are associated with increased job satisfaction among nurses. Recommendations for enhancing emotional intelligence are discussed.

PMID:39817889

NCHS Data Brief. 2024 Oct;(36).

ABSTRACT

OBJECTIVES: This report describes changes in total, early, and late fetal mortality between 2022 and 2023 (provisional), as well as fetal mortality by maternal race and Hispanic origin and state of residence. Comparisons are made with findings from 2021 to 2022.

METHODS: Data are based on reports of fetal death filed in the 50 states and the District of Columbia and collected via the National Vital Statistics System. In this report, only fetal deaths reported at 20 weeks of gestation or more are included. Data for 2021 and 2022 are final and data for 2023 are provisional.

RESULTS: In 2023, the overall fetal mortality rate was 5.52 fetal deaths per 1,000 live births and fetal deaths, which was not significantly different from the 2022 rate (5.48). From 2022 to 2023, the early fetal mortality rate (20-27 weeks of gestation) significantly increased by 4% to 2.89 per 1,000, while the late fetal mortality rate (28 weeks of gestation or more) was essentially unchanged at 2.64. Among the race and Hispanic-origin groups, the fetal mortality rate increased for Asian non-Hispanic women and was not significantly different for other groups. Fetal mortality rates increased in 4 states, declined in 1 state, and were not significantly different for 45 states and the District of Columbia from 2022 to 2023. In comparison, from 2021 to 2022, the fetal mortality rate declined for total, early, and late fetal deaths, as well as for White non-Hispanic women and in five states.

PMID:39817856

Biometrics. 2025 Jan 7;81(1):ujae169. doi: 10.1093/biomtc/ujae169.

ABSTRACT

Pharmacogenomics stands as a pivotal driver toward personalized medicine, aiming to optimize drug efficacy while minimizing adverse effects by uncovering the impact of genetic variations on inter-individual outcome variability. Despite its promise, the intricate landscape of drug metabolism introduces complexity, where the correlation between drug response and genes can be shaped by numerous nongenetic factors, often exhibiting heterogeneity across diverse subpopulations. This challenge is particularly pronounced in datasets such as the International Warfarin Pharmacogenetic Consortium (IWPC), which encompasses diverse patient information from multiple nations. To capture the between-patient heterogeneity in dosing requirement, we formulate a novel change surface model as a model-based approach for multiple subgroup identification in complex datasets. A key feature of our approach is its ability to accommodate nonlinear subgroup divisions, providing a clearer understanding of dynamic drug-gene associations. Furthermore, our model effectively handles high-dimensional data through a doubly penalized approach, ensuring both interpretability and adaptability. We propose an iterative 2-stage method that combines a change point detection technique in the first stage with a smoothed local adaptive majorize-minimization algorithm for surface regression in the second stage. Performance of the proposed methods is evaluated through extensive numerical studies. Application of our method to the IWPC dataset leads to significant new findings, where 3 subgroups subject to different pharmacogenomic relationships are identified, contributing valuable insights into the complex dynamics of drug-gene associations in patients.

PMID:39817854 | DOI:10.1093/biomtc/ujae169

J Trauma Stress. 2025 Jan 16. doi: 10.1002/jts.23128. Online ahead of print.

ABSTRACT

Although empirical support for the International Statistical Classification of Diseases and Related Health Problems (11th ed.; ICD-11) distinction between posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) is growing, research into the ICD-11 CPTSD model in prison staff is lacking. This study used latent profile analysis (LPA) to (a) determine if there are distinct groups of trauma-exposed prison governors (i.e., “wardens” in the United States and Canada) who have symptom profiles consistent with the distinction between PTSD and CPTSD and (b) identify predictors and posttraumatic maladaptive beliefs associated with the latent profiles. Trauma-exposed prison governors (N = 385) completed the International Trauma Questionnaire (ITQ) and a measure of traumatic life events. LPA was used to extract profiles using the six ITQ symptom clusters and revealed four profiles: CPTSD (8.4%), PTSD (14.4%), disturbances in self-organization (DSO; 11.0%), and low symptoms (66.3%). Membership in the CPTSD and DSO profiles was associated with cumulative traumatization, odds ratios (OR) = 1.42 and OR = 1.26, respectively, and poorer health, OR = 2.84 and OR = 1.64, respectively, relative to the low symptom profile, and membership in the PTSD profile was associated with younger age, OR = 0.91, relative to the low symptom profile. The CPTSD profile showed the highest level of posttraumatic maladaptive beliefs. This study yields empirical support for the ICD-11 CPTSD model in prison staff. The results provide additional support for the validity of ITQ measurement of PTSD and CPTSD.

PMID:39817824 | DOI:10.1002/jts.23128

Postgrad Med. 2025 Jan 16. doi: 10.1080/00325481.2025.2454218. Online ahead of print.

ABSTRACT

AIM: This study aims to clarify hematological parameters, transfusion requirements, and adverse events of preoperative intravenous (IVIS) versus oral iron supplementation (OIS) in elective surgery patients.

METHODS: We conducted a comprehensive literature search across multiple databases up to 10 December 2023. Twelve RCTs involving 930 participants met our eligibility criteria. Our analysis focused on post-treatment hemoglobin levels, changes in hemoglobin from baseline, ferritin levels, hemoglobin attainment rates, transfusion requirements, and adverse events. We employed the random-effects model for data synthesis, calculating pooled standard mean differences (SMD) or mean differences (MD) or risk ratios (RR) with 95% confidence intervals (CI). Methodological quality was assessed using the Cochrane ROB 2 tool and Jadad score. The GRADE approach evaluated the confidence in effect estimates.

FINDINGS: IVIS significantly improved post-treatment hemoglobin levels (MD = 0.77 g/dL, 95% CI [0.30 to 1.23]), hemoglobin increments (MD = 0.69 g/dL, 95% CI [0.01 to 1.37]), and ferritin levels (MD = 260.03 ng/mL, 95% CI [119.65 to 400.42]) compared to OIS. IVIS also led to a higher hemoglobin attainment rate (RR = 1.88, 95% CI [1.24 to 2.86]). No significant differences were noted in transfusion rates or volumes. IVIS was associated with fewer digestive (RR = 0.10, 95% CI [0.05 to 0.22]; I2 = 0%) but more pain-related adverse events (RR = 7.79, 95% CI [1.78 to 34.07]; I2 = 0%). Hospital stay durations and mortality rates were similar between the two groups.

INTERPRETATION: IVIS offers a superior improvement in hematological parameters for elective surgery patients but not reducing transfusion needs compared to OIS. While IVIS has fewer digestive adverse events, it increases pain-related complications. These findings highlight the importance of personalized approaches in selecting iron supplementation methods, carefully balancing time, efficacy, and adverse event profiles.

REGISTRATION: PROSPERO CRD42023483284.

PMID:39817823 | DOI:10.1080/00325481.2025.2454218

Chaos. 2025 Jan 1;35(1):013140. doi: 10.1063/5.0238864.

ABSTRACT

Adolescent idiopathic scoliosis (AIS), which typically occurs in patients between the ages of 10 and 18, can be caused by a variety of reasons, and no definitive cause has been found. Early diagnosis of AIS or timely recognition of progression is crucial for the prevention of spinal deformity and the reduction of the risk of surgery or postponement. However, it remains a significant challenge. The purpose of this study is to develop an easy-to-use, non-invasive, and portable method for early diagnosis of AIS. A new framework of moving entropy-based computer vision method is presented, which can determine the severity of AIS by analyzing patients’ walking videos. First, Alphapose system and direct linear transformation method are employed to estimate 3D keypoint coordinates. Then, the joint angle-based and joint distance-based dynamic network are constructed. Based on these works, the new measures called moving angle entropy and moving edge-weighted graph entropy are proposed and fused using canonical correlation analysis. Finally, the power spectral exponents of entropy sequences are calculated and used in recognizing the severity of AIS. A comparison with healthy subjects and statistical analysis for entropy values can provide effective information for quantifying AIS. The recognized results of our proposed method were also comparable with the clinical diagnosis of Cobb angle from imaging by a certified clinician.

PMID:39817783 | DOI:10.1063/5.0238864