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Nevin Manimala Statistics

A Standardized Approach to Transition Improves Care of Young Adults with Inflammatory Bowel Disease

Pediatr Qual Saf. 2025 Jan 7;10(1):e786. doi: 10.1097/pq9.0000000000000786. eCollection 2025 Jan-Feb.

ABSTRACT

INTRODUCTION: Young adults with inflammatory bowel disease (IBD) are at the risk of poor outcomes when transferring to adult providers. We aimed to increase the percentage of patients with 14-17 years of age undergoing the transition of care and the percentage of patients 18-21 years of age initiating the transfer of care to 50% for 12 months. Our goal was also to improve patient satisfaction with the transfer process. Our balancing measure was not to increase the duration of IBD visits.

METHODS: We implemented 3 interventions through iterative plan-do-study-act cycles. To understand the impact of the interventions for 12 months, we used statistical process control charts. The duration of IBD visits was used as a balancing measure. We administered an anonymous satisfaction survey through the electronic health record.

RESULTS: Total transition discussions increased to a mean of 38% (n = 68). Transition discussions with patients 14-17 years of age increased from baseline, though not consistently. Patients 18-21 years of age initiating transfer of care increased to a mean of 5% (n = 1) following the first intervention and to a mean of 30% (n = 13) following our second and third interventions with special cause variation. There was no significant difference in the duration of IBD visits before and after the intervention period (P = 0.54). No patients were dissatisfied following our interventions.

CONCLUSIONS: We saw improved transition discussions and transfer initiation rates by implementing the first steps of a new process to transition young adults with IBD.

PMID:39776952 | PMC:PMC11703434 | DOI:10.1097/pq9.0000000000000786

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Addressing Late-arriving Surgeons in Support of First-case On-time Starts

Pediatr Qual Saf. 2025 Jan 7;10(1):e784. doi: 10.1097/pq9.0000000000000784. eCollection 2025 Jan-Feb.

ABSTRACT

INTRODUCTION: First-case on-time starts (FCOTS) is an established metric of perioperative efficiency, impacting global perioperative throughput. Late-arriving surgeons are a common cause of late operating room (OR) starts. This project reflects a quality improvement effort to reduce late surgeon arrivals by 30% for 24 months and improve FCOTS.

METHODS: A multidisciplinary perioperative leadership team developed clear expectations, including tracking, roles, review processes, and consequences. These were broadly communicated among stakeholders, and feedback was incorporated. A new same-day surgeon-to-surgeon feedback mechanism was instituted for late surgeon arrivals, allowing for surgeon feedback and reiteration of expectations. Results were prospectively tracked for 24 months before and following implementation.

RESULTS: Late surgeon arrivals decreased by 45%, from 23.6 to 13 per month for 24 months before and following implementation, respectively (P < 0.001). Balancing measures did not see increases for the same periods. FCOTS increased from 66% to 72% postimplementation (P < 0.001). Statistical process control P-charts demonstrated centerline shifts for both metrics.

CONCLUSIONS: Development and communication of a clear framework of expectations, review, and consequences, with ongoing monitoring, clear performance expectations, and timely feedback, can reduce late surgeon arrival and improve FCOTS. Direct and timely communication provided immediate feedback to late surgeons and indicated reporting errors, providing more accurate data on late starts. Consistent policy enforcement is critical for credibility.

PMID:39776946 | PMC:PMC11703430 | DOI:10.1097/pq9.0000000000000784

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Nevin Manimala Statistics

Does empathy decline in the clinical phase of medical education? A study of students at Leicester medical school

PEC Innov. 2024 Jul 2;5:100316. doi: 10.1016/j.pecinn.2024.100316. eCollection 2024 Dec 15.

ABSTRACT

OBJECTIVE: To examine whether medical student empathy changes throughout the five years of a UK medical school.

METHODS: Students completed an online version of the Jefferson Scale of Empathy (JSE-S) during the 2022-2023 academic year. Comparisons of empathy scores were made using analysis of variance (ANOVA), and independent t-tests.

RESULTS: Empathy scores varied across different years of medical school (P ≤ 0.001), with a small drop in empathy between the pre-clinical and clinical phases of medical school (Mean difference = 1.82, P = 0.025). Male students scored lower than female students and there was no statistically significant difference between the mean empathy score and speciality interest.

CONCLUSIONS: Students’ empathy appeared declined slightly as they progressed through medical school. As a crucial component of good clinical care, interventions in medical education to enhance empathy should be prioritised.

INNOVATION: This is the first time following the COVID-19 pandemic that medical student empathy was measured across all five years of a medical school. Unlike many previous related studies, we identified the point at which empathy appears to decline, providing guidance for educators who can target empathy enhancing interventions where they are most needed.

PMID:39776945 | PMC:PMC11705371 | DOI:10.1016/j.pecinn.2024.100316

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Prognostic effect of CEA, AFP, CA19‑9 and CA242 for recurrence/metastasis of gastric cancer following radical gastrectomy

Mol Clin Oncol. 2024 Dec 12;22(2):17. doi: 10.3892/mco.2024.2812. eCollection 2025 Feb.

ABSTRACT

The present study aimed to determine the potential of carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen (CA)19-9 and CA242 in predicting recurrence/metastasis of gastric cancer in patients following radical gastrectomy. The clinical data of 368 patients with stage I-III gastric cancer who underwent radical gastrectomy were analyzed, and CEA, AFP, CA19-9 and CA242 levels were detected prior to surgery and 6-12 months following surgery. Univariate and multivariate analyses were used to evaluate the potential risk factors for post-operative recurrence/metastasis of gastric cancer, and the predictive value of CEA, AFP, CA19-9 and CA242 levels was evaluated using receiver operating characteristic (ROC) curve and area under the curve (AUC). Cumulative survival rates were calculated using Kaplan-Meier analysis, and statistical significance was evaluated using a log-rank test. Results of the univariate analysis demonstrated that open surgery, age ≥70, total gastrectomy, disease stage III, and pre-operative CA19-9 and CA242 positivity were risk factors for recurrence/metastasis. ROC curve analysis revealed that the AUC values of postoperative CA19-9 were higher than other values. According to the Kaplan-Meier survival analysis, patients with negative CEA, AFP, CA19-9 and CA242 levels prior to surgery exhibited a higher five-year survival rate than those who exhibited positive levels of these tumor markers. In addition, patients with positive CEA, AFP, CA19-9 and CA242 levels prior to surgery exhibited a significantly worse prognosis. Collectively, the results of the present study indicated that CEA, AFP, CA19-9 and CA242 exhibited potential as predictive biomarkers for recurrence/metastasis following radical gastrectomy in patients with gastric cancer. Notably, CA19-9 and CA242 may exhibit the highest potential in predicting recurrence/metastasis.

PMID:39776940 | PMC:PMC11704986 | DOI:10.3892/mco.2024.2812

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Impact of the COVID-19 Pandemic on Door-to-Device Time Segments and Clinical Outcomes for STEMI Patients in Northern Taiwan

Acta Cardiol Sin. 2025 Jan;41(1):121-129. doi: 10.6515/ACS.202501_41(1).20241021A.

ABSTRACT

BACKGROUND: Prompt primary percutaneous coronary intervention (pPCI) is crucial for the prognosis and reduction of myocardial damage in ST-segment elevation myocardial infarction (STEMI) patients. The Coronavirus Disease 2019 (COVID-19) pandemic had multifaceted impacts on healthcare. This study assessed the effects of the pandemic on pPCI procedures and clinical outcomes in emergency STEMI patients.

METHODS: This retrospective, single-center study analyzed STEMI patients who underwent pPCI from February 2019 to January 2022. The COVID-19 pandemic was categorized into three periods: pre-COVID-19 (Period-I), early-pandemic (Period-II), and epidemic (Period-III). The impacts on Door-to-Device time, its segments, and clinical outcomes were analyzed using Statistical Package for the Social Sciences.

RESULTS: A total of 404 STEMI patients were included, with a reduced number in Period-III. Compared to Period-I, the time intervals of Door-to-electrocardiogram (ECG), ECG-to-Cardiac Catheterization Laboratory Activation (CCLA), and CCLA-to-Cardiac Catheterization Laboratory Door in Period III were extended by 0.62 minutes (p = 0.006), 3.30 minutes (p = 0.009), and 9.65 minutes (p < 0.001), respectively. In contrast, the Angio-to-Device time was shorter in Period- II and III by 2.60 and 4.08 minutes (p < 0.001), respectively. Overall Door-to-Device time increased by 10.06 minutes (p < 0.001) in Period-III but decreased by 3.67 minutes in Period-II (p = 0.017). The odds of achieving a Door-to-Device time ≤ 90 minutes decreased by 70% in Period-III (p = 0.002). Clinical outcomes, including intensive care unit stay, hospital stay, in-hospital mortality, and 30-day readmission rate, remained stable across periods.

CONCLUSIONS: The COVID-19 pandemic had various effects on different segments of the Door-to-Device procedure, and they were influenced by the complex interplay between infection control measures and clinical workflow. The stability of clinical outcomes reflects the resilience and effective adaptations of the healthcare system during the pandemic.

PMID:39776930 | PMC:PMC11701492 | DOI:10.6515/ACS.202501_41(1).20241021A

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Genal: a Python toolkit for genetic risk scoring and Mendelian randomization

Bioinform Adv. 2024 Dec 24;5(1):vbae207. doi: 10.1093/bioadv/vbae207. eCollection 2025.

ABSTRACT

MOTIVATION: The expansion of genetic association data from genome-wide association studies has increased the importance of methodologies like Polygenic Risk Scores (PRS) and Mendelian Randomization (MR) in genetic epidemiology. However, their application is often impeded by complex, multi-step workflows requiring specialized expertise and the use of disparate tools with varying data formatting requirements. Existing solutions are frequently standalone packages or command-line based-largely due to dependencies on tools like PLINK-limiting accessibility for researchers without computational experience. Given Python’s popularity and ease of use, there is a need for an integrated, user-friendly Python toolkit to streamline PRS and MR analyses.

RESULTS: We introduce Genal, a Python package that consolidates SNP-level data handling, cleaning, clumping, PRS computation, and MR analyses into a single, cohesive toolkit. By eliminating the need for multiple R packages and for command-line interaction by wrapping around PLINK, Genal lowers the barrier for medical scientists to perform complex genetic epidemiology studies. Genal draws on concepts from several well-established tools, ensuring that users have access to rigorous statistical techniques in the intuitive Python environment. Additionally, Genal leverages parallel processing for MR methods, including MR-PRESSO, significantly reducing the computational time required for these analyses.

AVAILABILITY AND IMPLEMENTATION: The package is available on Pypi (https://pypi.org/project/genal-python/), the code is openly available on Github with a tutorial: https://github.com/CypRiv/genal, and the documentation can be found on readthedocs: https://genal.rtfd.io.

PMID:39776894 | PMC:PMC11706532 | DOI:10.1093/bioadv/vbae207

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Clinical exome next‑generation sequencing panel for hereditary pheochromocytoma and paraganglioma diagnosis

Exp Ther Med. 2024 Dec 18;29(2):34. doi: 10.3892/etm.2024.12784. eCollection 2025 Feb.

ABSTRACT

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors with an annual incidence of ~2 cases per million worldwide. The hereditary form is more likely to present in younger patients. To date, PPGL is considered a complex pathology that is difficult to diagnose. The present study aimed to improve the molecular diagnosis and other driver mutations related to PPGLs using TruSight One clinical exome panel (Illumina, Inc.). The clinical protocol used involved examining 28 patients with suspicion of genetic alterations as the cause of PPGLs. The variants of genes commonly associated with PPGLs (RET, FH, VHL, SDHA, SDHB, SDHC, SDHD, NF1, MAX, HIF2A, TMEM127 and TP53) were filtered across the panel. The libraries were sequenced on a MiSeq instrument (Illumina, Inc.) and the result was ≥20X coverage on 95% of the target regions in the panel, calculated by averaging the mean coverage for each exon. The results of sequencing detected 7% of pathogenic variants in the 18-40 years age subgroup and 11% in the 41-59 years age subgroup, whereas no pathogenic/likely pathogenic variants were identified in patients ≥60 years old. The identification of a germline mutation in patients with apparently sporadic PPGLs could lead to an early diagnosis of multiple or more aggressive tumors, or other neoplastic syndromes, in patients. Furthermore, this information may improve the development of targeted primary and secondary prevention programs tailored to these high-risk groups.

PMID:39776888 | PMC:PMC11705218 | DOI:10.3892/etm.2024.12784

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Risk stratification and diagnostic evaluation of patients found to have microscopic hematuria by their primary care providers

J Gen Fam Med. 2024 Dec 10;26(1):73-78. doi: 10.1002/jgf2.740. eCollection 2025 Jan.

ABSTRACT

BACKGROUND: Our goal was to identify, and risk stratify primary care patients with microscopic hematuria (MH), describe the diagnostic evaluations they received, and determine whether the evaluations were consistent with the recommendations of the 2020 AUA/SUFU microscopic hematuria guidelines.

METHODS: A retrospective review of patients presenting to primary care clinics with a diagnosis of MH was performed. The patient risk category was determined based on the 2020 AUA/SUFU guidelines. Diagnostic strategies were recorded, and guideline concordance was determined. Descriptive statistics were generated to describe outcomes.

RESULTS: A total of 368 patients had a diagnosis of MH; 267/368 (72.6%) patients had all pertinent data available for risk stratification. One-hundred and fifty-six (58.4) patients were high-risk and 55 (35.3%) had a urologic visit. Forty-one of the 55 (75%) were diagnostically evaluated of which 13 (31.7%) were in-line with guideline recommendations. Eighty-two (30.7%) patients were at intermediate risk of which 33 (40.2%) had a urology visit. Of these 33 intermediate-risk patients, 27 (81.8%) were diagnostically evaluated, five (18.5%) of which were in-line with guideline recommendations. Twenty-nine patients were low risk of which 4 (13.8%) had a urology visit. Three of the four patients seen by urology (75%) were evaluated with imaging studies and none received a cystoscopy.

CONCLUSION: Almost 60% of the patients in our cohort were high-risk according to the AUA/SUFU 2020 guidelines. Across all strata, the majority of patients lacked a urology visit and diagnostic evaluation consistent with guideline recommendations. Future efforts should ensure appropriate urologic referral and optimize initial diagnostic strategies for patients with MH.

PMID:39776878 | PMC:PMC11702366 | DOI:10.1002/jgf2.740

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Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis

Front Cardiovasc Med. 2024 Dec 24;11:1434265. doi: 10.3389/fcvm.2024.1434265. eCollection 2024.

ABSTRACT

BACKGROUND: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.

METHODS: A systematic review and meta-analysis were conducted using five databases: Google Scholar, ScienceDirect, Hinari, PubMed, and Scopus. In total, 12 studies met the eligibility criteria for inclusion in this analysis. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Data extraction was performed using a Microsoft Excel spreadsheet, and statistical analysis was conducted with STATA 14. The Joanna Briggs Institute Meta-analysis of Statistics Assessment and Review Instrument was utilized for quality assessment. Heterogeneity among the studies was evaluated using the I 2 statistic and the Cochrane Q test. Publication bias was assessed using Begg’s test, Egger’s weighted regression, and funnel plots.

RESULTS: The pooled prevalence of poor HF treatment outcomes was found to be 16.67% [95% confidence interval (CI): 10.67-22.67]. No significant heterogeneity was observed across the included studies (I 2 = 0.0%, p = 0.962). Significant predictors of a poor treatment outcome were smoking cigarettes [adjusted odds ratio (AOR) = 10.74; 95% CI: 3.24-35.63] and medication-related problems (AOR = 3.99; 95% CI: 1.90-8.37).

CONCLUSION: The prevalence of poor HF treatment outcomes in Ethiopia was found to be high. Smoking cigarettes and medication-related problems are significant predictors of these adverse outcomes. Comprehensive health education and improved clinical pharmacy services are essential for addressing these issues.

SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023437397, PROSPERO (CRD42023437397).

PMID:39776867 | PMC:PMC11703969 | DOI:10.3389/fcvm.2024.1434265

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Association of the geriatric nutritional risk index with poor outcomes in patients with coronary revascularization: a cohort study

Front Cardiovasc Med. 2024 Dec 24;11:1442957. doi: 10.3389/fcvm.2024.1442957. eCollection 2024.

ABSTRACT

BACKGROUND: Poor nutritional status may affect outcomes after coronary revascularization, but the association between nutritional status and outcomes in patients undergoing coronary revascularization has not been fully evaluated. This study was based on the MIMIC-IV database to analyze the impact of baseline nutritional status on poor outcomes in patients with coronary revascularization.

METHODS: Patients with coronary revascularization were screened from the MIMIC-IV database. A geriatric nutritional risk index (GNRI) was calculated and used to divide patients into 4 groups: no malnutrition (Q4: ≥96.79), mild malnutrition (Q3: 90.85-96.78), moderate malnutrition (Q2: 86.37-90.84), and severe malnutrition (Q1: 86.37). The primary outcome measure was 28-day mortality, and the secondary outcome measures were AKI and length of hospital stay. Cox proportional hazards model, Kaplan-Meier survival analysis, restricted cubic spline (RCS), and multiple linear regression model were used for statistical analysis, respectively, to ensure the robustness of study results.

RESULTS: A total of 1,168 patients with coronary revascularization were included. The GNRI demonstrated a significant association with 28-day mortality in patients undergoing coronary revascularization. As a continuous variable, the GNRI exhibited a notable inverse correlation with mortality across unadjusted, partially adjusted, and fully adjusted Cox regression models [hazard ratios (HRs): 0.93, 0.94, 0.96, respectively; all P < 0.001]. When considered as a categorical variable, a low GNRI (first quartile, Q1) was significantly associated with elevated mortality risks (HRs: 2.64, 2.30, 1.82 in the unadjusted, partially adjusted, and fully adjusted models, respectively; all P < 0.05). Subgroup analysis revealed a more pronounced association in patients under 65 years of age (P for interaction = 0.014). Furthermore, reduced GNRI levels were also associated with an increased incidence of AKI and extended hospital lengths of stay.

CONCLUSION: GNRI is associated with prognosis in patients with coronary revascularization. Patients with lower GNRI had higher 28-day mortality, greater risk of AKI, and longer hospital stays.

PMID:39776862 | PMC:PMC11703724 | DOI:10.3389/fcvm.2024.1442957