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Nevin Manimala Statistics

Effect of exercise on quality of life among menopausal women

Bioinformation. 2025 Feb 28;21(2):155-158. doi: 10.6026/973206300210155. eCollection 2025.

ABSTRACT

Menopause is one of the most important phases of a woman’s life. Therefore, it is of interest to conduct a randomized-controlled trial approach and three hundred post-menopausal volunteers were split into two groups randomly and quality of life was evaluated using the Nottingham Health Profile (NHP). The exercise group engaged in a program consisting of submaximal weight-bearing and breathing exercises for eight weeks, five times a week. The quality of life in the two groups was compared after eight weeks. The NHP’s quality of life improved in the exercise group, with a statistically significant difference (P < 0.05). Thus, an 8-week regimen of consistent, supervised exercise could enhance the quality of life for post-menopausal women.

PMID:40322714 | PMC:PMC12044177 | DOI:10.6026/973206300210155

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Nevin Manimala Statistics

Effect of needle priming on blood collection time in whole blood donation

Bioinformation. 2025 Feb 28;21(2):253-256. doi: 10.6026/973206300210253. eCollection 2025.

ABSTRACT

Efficient and safe blood donation procedures are critical for maintaining an adequate and reliable blood supply. Needle priming, a pre-donation procedure aimed at preventing clot formation, is hypothesized to improve blood flow and reduce donation time. A case-control study was conducted with 340 participants to evaluate the impact of needle priming on whole blood donation. The case group underwent needle priming before donation, while the control group followed standard procedures without priming. The study found a statistically significant reduction in blood collection time in the needle priming group compared to the control group (p < 0.05). Needle priming prior to blood donation significantly enhances procedural efficiency, reduces clotting risks and improves donor satisfaction.

PMID:40322704 | PMC:PMC12044171 | DOI:10.6026/973206300210253

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Nevin Manimala Statistics

Estimating gestational age using placental thickness and fetal weight

Bioinformation. 2025 Feb 28;21(2):205-209. doi: 10.6026/973206300210205. eCollection 2025.

ABSTRACT

The correlation between placental thickness, gestational age and fetal weight across different stages of pregnancy is of interest. Hence, 187 women (11-40 weeks gestation) at Maa Vindhyavasini Autonomous State Medical College and SMMH Medical College in India participated in this study. Results showed that mean placental thickness increased with gestational age (2.083 cm at 11-20 weeks, 2.623 cm at 20-30 weeks and 3.29 cm at 30-40 weeks), while fetal weight also increased (172.05g, 746.67g and 2584.49g, respectively). A strong positive correlation was found between gestational age and both fetal weight and placental thickness, except during early pregnancy (11-21 weeks), with statistical significance at the 5% level. Thus, the correlation between placental thickness, fetal weight and gestational age in 187 pregnant women, showing strong positive correlations, especially in later stages of pregnancy is reported.

PMID:40322697 | PMC:PMC12044164 | DOI:10.6026/973206300210205

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Nevin Manimala Statistics

Impact of Qi Gong therapy for managing premenstrual syndrome among adolescent girls

Bioinformation. 2025 Feb 28;21(2):132-136. doi: 10.6026/973206300210132. eCollection 2025.

ABSTRACT

Premenstrual Syndrome (PMS) is a prevalent condition among adolescent girls, causing significant physical and emotional distress. Therefore, it is of interest to evaluate the impact of Qi Gong therapy on alleviating PMS symptoms among adolescent girls in North Gujarat. A quasi-experimental pretest-posttest design was implemented with 231 adolescent girls aged 13-17 years. Participants underwent a 4-week Qi Gong therapy program, with five 45-minute sessions weekly. Data were collected using a demographic questionnaire and Modified PMS Scale, analysing pre – and post-intervention symptoms through descriptive statistics, paired t-tests and chi-square tests. The intervention significantly reduced PMS severity, with mild PMS cases increasing from 48 (20.78%) to 166 (71.86%) post-intervention. Paired t-tests revealed a highly significant mean difference in PMS scores (T = 12.251, p < 0.001).

PMID:40322693 | PMC:PMC12044180 | DOI:10.6026/973206300210132

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Nevin Manimala Statistics

Postoperative mid-to-long-term adverse event prediction model for patients receiving non-cardiac surgery: An extension of the Simple Postoperative AKI RisK (SPARK) model

Clin Kidney J. 2025 Feb 17;18(5):sfaf045. doi: 10.1093/ckj/sfaf045. eCollection 2025 May.

ABSTRACT

BACKGROUND: Postoperative acute kidney injury (PO-AKI) is a critical complication of adverse kidney outcomes, both short and long-term. We aimed to expand our pre-existing PO-AKI prediction model to predict mid-to long-term adverse kidney outcomes.

METHODS: We included patients who underwent major non-cardiac surgeries from the original SPARK cohort, two external validation cohorts, and a temporal validation cohort. Mid-to-long-term adverse kidney outcomes were defined as end-stage kidney disease progression or death within 1 or 3 years after surgery. We verified and tuned the original Simple Postoperative AKI RisK (SPARK) model to predict mid-to-long-term adverse kidney events.

RESULTS: We included 33 636 patients in development, 71 232 patients in external validation, and 33 944 patients in temporal validation cohorts, respectively. One- and 3-year adverse kidney events occurred in 5.5% and 13.2% in the development cohort, respectively. The original SPARK score demonstrated an acceptable discriminative power for 1-year and 3-year adverse outcome risks with C indices mostly >0.7. However, the power was relatively poor when restricted to high-risk patients or those who actually developed PO-AKI. When we re-calculated the regression coefficients from a Cox model, the discriminative performances were better, especially for those with high-risk characteristics (e.g. 1-year outcome, C-index 0.72 in developmental and 0.73‒0.77 in validation datasets). Furthermore, when the model integrated the PO-AKI stage and history of malignancy with the SPARK variables, the performance was significantly enhanced (1-year, C-index 0.86 in development and 0.86‒0.88 in validation results). With the above findings, we constructed an online postoperative risk prediction system (https://snuhnephrology.github.io/postop/).

CONCLUSIONS: The addition of two clinical factors and recalibration of SPARK variables significantly improved mid-to-long-term postoperative risk prediction for mortality or dialysis after non-cardiac surgery. Our calculator helps clinicians easily predict a mid-to-long-term risk and PO-AKI occurrence by entering a few variables.

PMID:40322677 | PMC:PMC12044331 | DOI:10.1093/ckj/sfaf045

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Nevin Manimala Statistics

Systemic Inflammatory Biomarkers as a Predictive Markers for Ovarian Cancer

Int J Womens Health. 2025 Apr 30;17:1193-1201. doi: 10.2147/IJWH.S496137. eCollection 2025.

ABSTRACT

OBJECTIVE: Tumor markers such as CA125 are highly beneficial in predictive ovarian malignancy; however, this advanced test is not always available in remote areas. To address this issue, the author aimed to explore the use of systemic inflammatory biomarkers as complementary modalities for diagnosis of ovarian malignancy.

METHODS: This diagnostic study utilized a cross-sectional approach, with outcomes measured by AUC and sensitivity. A total of 132 patients with adnexal tumors were consecutively included and measured a complete blood count. From this, the MLR (Monocyte Lymphocyte Ratio), NLR (Neutrophil Lymphocyte Ratio), PLR (Platelet Lymphocyte Ratio), SII (Systemic Immune Inflammation Index), and SIRI (Systemic Inflammatory Response Index) biomarkers were calculated. After surgery, histopathological examination was performed as the gold standard and the biomarker predictions were then compared to it, followed by statistical analysis.

RESULTS: The AUC values for MLR, NLR, PLR, SII, and SIRI were 0.70, 0.731, 0.696, 0.743, and 0.722, respectively. The p-values were MLR (0.005), NLR (0.001), PLR (0.001), SII (<0.001), and SIRI (<0.001), respectively. In multivariate analysis, only SII was significant (p = 0.015). The Exp(B) and 95% CI were 5.472 (1.383-21.655). The validity test for SII showed satisfactory results: sensitivity 71.64%, specificity 73.84%, PPV 73.84%, NPV 71.64%, accuracy 72.72%, LR+ 2.74%, and LR- 0.38%.

CONCLUSION: Systemic inflammatory biomarkers, particularly SII may aid in the predictive markers of early ovarian with diagnostic values nearly as good as CA125 (sensitivity 71.64% vs 75.97%). These biomarkers can serve as complementary predictive markes modalities for ovarian malignancy, especially when advanced tumor marker tests like CA125 are not available in remote areas.

PMID:40322664 | PMC:PMC12050043 | DOI:10.2147/IJWH.S496137

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Nevin Manimala Statistics

Assessing the acceptability of using patient portals to recruit pregnant women and new mothers for maternal-child health research

JAMIA Open. 2025 May 2;8(3):ooaf027. doi: 10.1093/jamiaopen/ooaf027. eCollection 2025 Jun.

ABSTRACT

OBJECTIVE: Electronic patient portals (PP) allow for targeted and efficient research recruitment. We assessed pre- and postnatal women’s recruitment methods preferences, focusing on PP.

MATERIALS AND METHODS: We conducted 4 in-person focus groups with new and expecting mothers. Participants reported demographics, health status, and comfort with technology including PP. We used descriptive statistics to characterize quantitative data and a quasi-deductive approach to analyze qualitative data.

RESULTS: Participants (n = 32) were an average age of 31.9 years, mostly White (65.6%), married (90.6%), and had a 4-year degree or higher (71.9%). Although they preferred PP for research recruitment over other methods (eg, in-person, physical mail), participants suggested potential barriers, including high message frequency, messages feeling like spam, and concerns about confidentiality. Participants suggested solutions, including enhancing autonomy through opt-in methods; integrating their healthcare provider’s feedback; sending personal and relevant messages; and assuring their PP data are confidential.

DISCUSSION: PPs are a promising recruitment method for pre- and postnatal women including for maternal-child health studies. To ensure engagement with the method, researchers must respond to known patient concerns and incorporate their feedback into future efforts.

CONCLUSION: Although PP were generally viewed as an acceptable recruitment method, researchers should be mindful of barriers that may limit its reach and effectiveness.

PMID:40322631 | PMC:PMC12047077 | DOI:10.1093/jamiaopen/ooaf027

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Nevin Manimala Statistics

Efficacy, Safety, and Tolerance of Split Dose Oral Sulfate Solution Versus Split-Dose Polyethylene Glycol Versus Single Dose Polyethylene Glycol for Colonoscopy Preparation: A Prospective Randomized Study

Middle East J Dig Dis. 2025 Jan;17(1):12-18. doi: 10.34172/mejdd.2025.403. Epub 2025 Jan 31.

ABSTRACT

BACKGROUND: The quality of bowel preparation is one of the key determinants of a successful colonoscopy. Bowel preparation regimens have evolved greatly over the past few decades, with attempts to improve the efficiency and tolerability; still an ideal agent or regimen continues to be oblivious. To compare the efficacy, safety, and tolerance of three bowel preparation regimens for colonoscopy: split dose of oral sulfate solution (OSS), split dose of polyethylene glycol (PEG), and same-day single dose PEG.

METHODS: This study was a randomized, single-blind control design with three study groups. Group A received a split dose of OSS, group B received a split dose of PEG, and Group C received a single dose of PEG for bowel preparation. The quality of preparation was assessed using the Boston Bowel Preparation Scale (BBPS), and the adverse effects and tolerance were noted. The data were compared statistically for any significant difference between the regimens.

RESULTS: Mean total BBPS scores were 8.08, 7.52, and 7.92 for groups A, B, and C, respectively (P=0.076). Segmental BBPS scores were statistically similar for the right and transverse colon but differed for the left colon (A: B: C=2.79: 2.54: 2.75; P<0.01). Gastrointestinal side effects and electrolyte disturbances were similar across the three groups. Split-dose preparations were associated with more significant sleep disturbances than single-dose PEG (P<0.001). Patients who received OSS reported more taste intolerance (P<0.01), while those who received single PEG reported more volume intolerance (P<0.001).

CONCLUSION: Split-dose OSS, split-dose PEG, and single-dose PEG regimens provide adequate and comparable bowel preparation for colonoscopy with good patient tolerance and no significant adverse effects. Overnight PEG and OSS preparations were associated with more substantial sleep disturbances. OSS is associated with more taste intolerance, while single PEG is associated with more volume intolerance.

PMID:40322569 | PMC:PMC12048835 | DOI:10.34172/mejdd.2025.403

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Nevin Manimala Statistics

Exploring the Potential Link Between Autoimmune Diseases and Pan-Cancer: A Multidatabase Mendelian Randomization Analysis

J Immunol Res. 2025 Apr 27;2025:6468979. doi: 10.1155/jimr/6468979. eCollection 2025.

ABSTRACT

Background: The relationship between autoimmune diseases (AIDs) and cancer is unclear and this study aimed to investigate the relationship between AIDs and cancer at the genetic level using Mendelian randomization (MR). Methods: The study employed two-sample MR and meta-analysis to investigate the association between AIDs and 33 types of cancer, following STROBE-MR guidelines. Single nucleotide polymorphisms (SNPs) associated with AIDs were used as instrumental variables, with data from FinnGen, UK Biobank, and other databases. MR analyses included sensitivity checks, heterogeneity assessments, and reverse causality tests, using multiple MR methods (inverse-variance weighted (IVW), weighted median, MR-Egger, etc.). Meta-analysis was performed on validated results to confirm findings, with statistical analyses conducted using R software. Results: The results identified eight significant associations in both discovery and replication stages. Key findings include that myasthenia gravis (MG) significantly increases the risk of oral cavity cancer, multiple sclerosis (MS) is linked to increased risks of chronic lymphocytic leukemia (CLL) and small intestine cancer, and ulcerative colitis (UC) has mixed effects, reducing the risk of uterine cervix and larynx cancers, but increasing risks for pancreatic and bladder cancers. Meta-analysis confirmed eight secondary findings, highlighting pathogenic associations such as type 1 diabetes with esophagus cancer and protective effects like systemic lupus erythematosus (SLE) against acute myelocytic leukemia. Conclusions: This study provides evidence of a causal relationship between multiple AIDs and different cancer risks at the genetic level and provides a reference for the health management of patients with AIDs.

PMID:40322556 | PMC:PMC12050153 | DOI:10.1155/jimr/6468979

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Nevin Manimala Statistics

A novel link between KCNQ1 genetic variants and polycystic ovary syndrome susceptibility

Biomed Rep. 2025 Apr 22;22(6):104. doi: 10.3892/br.2025.1982. eCollection 2025 Jun.

ABSTRACT

Genome-wide association studies (GWAS) have identified the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene, as a potential contributor to the pathogenesis of type 2 diabetes (T2D). Given the known genetic overlap between T2D and polycystic ovary syndrome (PCOS), the present study aimed to investigate the potential association between KCNQ1 gene variants and PCOS susceptibility in a population of Tunisian women. A total of 230 patients and 230 healthy controls were recruited for this case control study. The Rotterdam consensus criteria were used to diagnose patients with PCOS. Genotyping of three KCNQ1 variants (rs231361, rs151290 and rs2237895), was performed using allelic discrimination (real-time PCR). After excluding false positive associations using the false discovery rate adjustment and ensuring statistical power >80%, the present results suggested that the KCNQ1 gene may play a role in PCOS susceptibility. Specifically, the rs231361 variant showed a significant association with an increased risk of PCOS through multiple genetic inheritance models. Additionally, the A/A genotype of the rs231361 variant displayed a correlation with increased levels of triglycerides compared with those with the G/G wild-type and the G/A heterozygous genotypes. To the best of our knowledge, this is the first study to identify the KCNQ1 rs231361 variant as a potential genetic risk factor for PCOS. These findings have important implications for risk assessment and the development of personalized treatment approaches for affected women.

PMID:40322554 | PMC:PMC12046284 | DOI:10.3892/br.2025.1982