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Nevin Manimala Statistics

Laparoscopic total (Nissen) versus posterior (Toupet) fundoplication for gastroesophageal reflux disease: a propensity score-matched comparison of the perioperative and 1-year follow-up outcome

Hernia. 2024 Mar 17. doi: 10.1007/s10029-024-02988-z. Online ahead of print.

ABSTRACT

INTRODUCTION: The debate continues as to whether laparoscopic total Nissen (LNF) versus partial posterior Toupet fundoplication (LTF) leads to better outcomes in the surgical treatment of axial hiatal hernia with gastroesophageal reflux disease. In the most recent meta-analysis including 13 RCTs with 1564 patients, no significant difference was found between the two procedures in terms of perioperative complications and recurrent reflux rates. Further comparative analyses are urgently needed.

METHODS: This retrospective analysis of prospectively recorded data from the Herniamed Registry compared the perioperative and 1-year follow-up outcomes after total Nissen versus partial Toupet fundoplication. Propensity score matching was chosen as the statistical method. Matching was performed for n = 2290 pairs.

RESULTS: No systematic discrepancy was found between the Nissen and Toupet fundoplication for any of the outcome parameters (intraoperative complications LNF 2.10% vs LTF 1.48%, general complications 2.27% vs 2.88%, postoperative complications 1.44% vs 1.18%, complication-related reoperation 1.00% vs 0.91%, recurrence on 1-year follow-up 6.55% vs 5.33%, pain on exertion on 1-year follow-up 12.49% vs 9.52%, pain at rest on 1-year follow-up 10.44 vs 9.52% and pain requiring treatment on 1-year follow-up 9.61% vs 8.17%). Also the postoperative dysphagia rate showed with 5.34% after LNF and with 4.64% after LTF no significant difference.

CONCLUSION: The findings presented here did not show any significant difference up to 1 year after Nissen or Toupet fundoplication. This is in concordance with the findings of the meta-analyses. However, the perioperative and 1-year follow-up outcomes demonstrate that both operation techniques should be carried out by experienced surgeons.

PMID:38493409 | DOI:10.1007/s10029-024-02988-z

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Nevin Manimala Statistics

Impact of Replacing Fentanyl With Hydromorphone as the First-Line Postoperative Opioid Among Patients Undergoing Outpatient Cancer Surgery

J Perianesth Nurs. 2024 Mar 15:S1089-9472(23)01051-1. doi: 10.1016/j.jopan.2023.11.007. Online ahead of print.

ABSTRACT

PURPOSE: In response to a nationwide fentanyl shortage, our institution assessed whether changing our first-line postoperative intravenous opioid from fentanyl to hydromorphone impacted patient outcomes. The primary research aim was to evaluate the association between first-line opioid and rapidity of recovery.

DESIGN: The study team retrospectively obtained data on all consecutive patients extracted from the electronic medical record. The rapidity of recovery was defined as the time from entry into the postanesthesia care unit to the transition to Phase 2 for ambulatory extended recovery patients and as the length of total postanesthesia care unit stay for outpatients.

METHODS: Following intent-to-treat-principles, we tested the association between study period and rapidity of recovery (a priori clinically meaningful difference: 20 minutes) using multivariable linear regression, adjusting for anesthesia type (general vs monitored anesthesia care), American Society of Anesthesiologst physical status (ASA) score (1-2 vs 3-4), age, service, robotic procedure, and surgery start time.

FINDINGS: Ambulatory extended recovery patients treated in the hydromorphone period had, on average, a 0.25 minute (95% confidence interval [CI] -6.5, 7.0), nonstatistically significant (P > .9) longer time to transition. For outpatient procedures, those who received hydromorphone had, on average, 8.5-minute longer stays (95% CI 3.7-13, P < .001). Although we saw statistical evidence of an increased risk of resurgery associated with receiving hydromorphone (0.5%; 95% CI -0.1%, 1.0%; P = .039 on univariate analysis), the size of the estimate is clinically and biologically implausible and is most likely a chance finding related either to multiple testing or confounding.

CONCLUSIONS: The multidisciplinary team concluded that the increase in postoperative length of stay associated with hydromorphone was not clinically significant and the decrease waste of prefilled syringes outweighed the small potential increased risk of resurgery compared to the shorter-acting fentanyl. We will therefore use hydromorphone moving forward.

PMID:38493405 | DOI:10.1016/j.jopan.2023.11.007

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Nevin Manimala Statistics

High Baseline High-Sensitivity Cardiac Troponin T Concentrations and Risk of Index Acute Myocardial Infarction

Mayo Clin Proc. 2024 Mar 15:S0025-6196(24)00026-0. doi: 10.1016/j.mayocp.2023.12.019. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate the diagnostic performance of the previously recommended baseline high-sensitivity cardiac troponin T (hs-cTnT) thresholds of 52 and 100 ng/L in identifying patients at high risk of acute myocardial infarction (AMI).

PATIENTS AND METHODS: This study compared the positive predictive value (PPV) for index AMI of these high-risk hs-cTnT thresholds in adult patients in the emergency department undergoing hs-cTnT measurement.

RESULTS: The adjudicated MAyo Southwest Wisconsin 5th Gen Troponin T ImplementatiON cohort included 2053 patients, with 157 (7.6%) who received a diagnosis of AMI. The hs-cTnT concentrations of greater than 52 and greater than 100 ng/L resulted in PPVs of 41% (95% CI, 35%-48%) and 57% (95% CI, 48%-66%). In patients with chest discomfort, hs-cTnT concentrations greater than 52 ng/L resulted in a PPV of 66% (95% CI, 56%-76%) and hs-cTnT concentrations greater than 100 ng/L resulted in a PPV of 77% (95% CI, 65%-87%). The CV Data Mart Biomarker cohort included 143,709 patients, and 3003 (2.1%) received a diagnosis of AMI. Baseline hs-cTnT concentrations greater than 52 and greater than 100 ng/L resulted in PPVs of 12% (95% CI, 11%-12%) and 17% (95% CI, 17%-19%), respectively. In patients with chest pain and hs-cTnT concentrations greater than 52 ng/L, the PPV for MI was 17% (95% CI, 15%-18%) and in those with concentrations greater than 100 ng/L, only 22% (95% CI, 19%-25%).

CONCLUSION: In unselected patients undergoing hs-cTnT measurement, the hs-cTnT thresholds of greater than 52 and greater than 100 ng/L provide suboptimal performance for identifying high-risk patients. In patients with chest discomfort, an hs-cTnT concentration of greater than 100 ng/L, but not the European Society of Cardiology-recommended threshold of greater than 52 ng/L, provides an acceptable performance but should be used only with other clinical features.

PMID:38493402 | DOI:10.1016/j.mayocp.2023.12.019

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Nevin Manimala Statistics

TherapyTok for Depression and Anxiety: A Quantitative Content Analysis of High Engagement TikTok Videos

J Adolesc Health. 2024 Mar 15:S1054-139X(24)00092-2. doi: 10.1016/j.jadohealth.2024.02.002. Online ahead of print.

ABSTRACT

PURPOSE: TikTok is increasingly becoming a source of health information, peer support, and validation regarding mental health. The goal of this study was to analyze the content of TikTok videos related to depression and anxiety.

METHODS: The sample included 100 videos, each with at least a million views, discussing either depression, anxiety, or both. The videos were retrieved from hashtag searches. The videos were coded for the type of mental health condition; specific content being discussed (e.g., symptoms or treatment); video presentation (i.e., personal experience, expert information, or general discussion), and more subcategories. Engagement statistics (i.e., likes, views, reposts, and number of comments) for each video were also recorded.

RESULTS: The engagement statistics were higher for personal experience videos than for videos from healthcare professionals. Anxiety was the subject of 57% of the videos irrespective of the search hashtags, and over two-thirds of the videos were created by females. The most discussed topics included the description or enactment of depression/anxiety symptoms (e.g., emotional displays); mention of being diagnosed by a healthcare professional was the least prevalent.

DISCUSSION: These results suggest that depression and anxiety videos featuring personal experiences are prevalent on TikTok with higher engagement compared to similar videos by health professionals. The attribution of generic symptoms to these mental health conditions may result in self-diagnosis. There is a need for more strategic efforts to ensure quality of health content on TikTok and increased focus on digital health literacy to make young social media users critical consumers of online content.

PMID:38493396 | DOI:10.1016/j.jadohealth.2024.02.002

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Nevin Manimala Statistics

Incorporating network diffusion and peak location information for better single-cell ATAC-seq data analysis

Brief Bioinform. 2024 Jan 22;25(2):bbae093. doi: 10.1093/bib/bbae093.

ABSTRACT

Single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) data provided new insights into the understanding of epigenetic heterogeneity and transcriptional regulation. With the increasing abundance of dataset resources, there is an urgent need to extract more useful information through high-quality data analysis methods specifically designed for scATAC-seq. However, analyzing scATAC-seq data poses challenges due to its near binarization, high sparsity and ultra-high dimensionality properties. Here, we proposed a novel network diffusion-based computational method to comprehensively analyze scATAC-seq data, named Single-Cell ATAC-seq Analysis via Network Refinement with Peaks Location Information (SCARP). SCARP formulates the Network Refinement diffusion method under the graph theory framework to aggregate information from different network orders, effectively compensating for missing signals in the scATAC-seq data. By incorporating distance information between adjacent peaks on the genome, SCARP also contributes to depicting the co-accessibility of peaks. These two innovations empower SCARP to obtain lower-dimensional representations for both cells and peaks more effectively. We have demonstrated through sufficient experiments that SCARP facilitated superior analyses of scATAC-seq data. Specifically, SCARP exhibited outstanding cell clustering performance, enabling better elucidation of cell heterogeneity and the discovery of new biologically significant cell subpopulations. Additionally, SCARP was also instrumental in portraying co-accessibility relationships of accessible regions and providing new insight into transcriptional regulation. Consequently, SCARP identified genes that were involved in key Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways related to diseases and predicted reliable cis-regulatory interactions. To sum up, our studies suggested that SCARP is a promising tool to comprehensively analyze the scATAC-seq data.

PMID:38493346 | DOI:10.1093/bib/bbae093

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Nevin Manimala Statistics

Deep reinforcement learning identifies personalized intermittent androgen deprivation therapy for prostate cancer

Brief Bioinform. 2024 Jan 22;25(2):bbae071. doi: 10.1093/bib/bbae071.

ABSTRACT

The evolution of drug resistance leads to treatment failure and tumor progression. Intermittent androgen deprivation therapy (IADT) helps responsive cancer cells compete with resistant cancer cells in intratumoral competition. However, conventional IADT is population-based, ignoring the heterogeneity of patients and cancer. Additionally, existing IADT relies on pre-determined thresholds of prostate-specific antigen to pause and resume treatment, which is not optimized for individual patients. To address these challenges, we framed a data-driven method in two steps. First, we developed a time-varied, mixed-effect and generative Lotka-Volterra (tM-GLV) model to account for the heterogeneity of the evolution mechanism and the pharmacokinetics of two ADT drugs Cyproterone acetate and Leuprolide acetate for individual patients. Then, we proposed a reinforcement-learning-enabled individualized IADT framework, namely, I$^{2}$ADT, to learn the patient-specific tumor dynamics and derive the optimal drug administration policy. Experiments with clinical trial data demonstrated that the proposed I$^{2}$ADT can significantly prolong the time to progression of prostate cancer patients with reduced cumulative drug dosage. We further validated the efficacy of the proposed methods with a recent pilot clinical trial data. Moreover, the adaptability of I$^{2}$ADT makes it a promising tool for other cancers with the availability of clinical data, where treatment regimens might need to be individualized based on patient characteristics and disease dynamics. Our research elucidates the application of deep reinforcement learning to identify personalized adaptive cancer therapy.

PMID:38493345 | DOI:10.1093/bib/bbae071

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Nevin Manimala Statistics

The Prevalence of Post-traumatic Stress Disorder as Part of Post-ICU Syndrome among Israeli ICU Survivors

Isr Med Assoc J. 2024 Mar;26(3):186-190.

ABSTRACT

BACKGROUND: Survivors of critical illness are at increased risk of long-term impairments, referred to as post-intensive care unit (ICU) syndrome (PICS). Post-traumatic stress disorder (PTSD) is common among ICU survivors with reported rates of up to 27%. The prevalence of PTSD among Israeli ICU survivors has not been reported to date.

OBJECTIVES: To evaluate the prevalence of new onset PTSD diagnosed in a post-ICU clinic at a tertiary center in Israel.

METHODS: We conducted a retrospective, single center, cohort study. Data were collected from medical records of all patients who visited the Tel Aviv Sourasky Medical Center post-ICU clinic between October 2017 and June 2020. New onset PTSD was defined as PTSD diagnosed by a certified board psychiatrist during the post-ICU clinic visit. Data were analyzed using descriptive statistics.

RESULTS: Overall, 39 patients (mean age 51 ± 17 years, 15/39 females [38%]) attended the post-ICU clinic during the study period. They were evaluated 82 ± 57 days after hospital discharge. After excluding 7 patients due to missing proper psychiatric analysis, 32 patients remained eligible for the primary analysis. New PTSD was diagnosed in one patient (3%).

CONCLUSIONS: We found lower incidence of PTSD in our cohort when compared to existing literature. Possible explanations include different diagnostic tools and low risk factors rate. Unique national, cultural, and/or religious perspectives might have contributed to the observed low PTSD rate. Further research in larger study populations is required to establish the prevalence of PTSD among Israeli ICU survivors.

PMID:38493331

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Nevin Manimala Statistics

A Statistical Approach to the High Mortality Rate of Israeli Citizens Held Hostage in Gaza

Isr Med Assoc J. 2024 Mar;26(3):141-142.

ABSTRACT

BACKGROUND: According to Hamas sources, many Israeli hostages in Gaza were killed by indiscriminate Israeli airstrikes, together with a large number of Palestinian citizens.

OBJECTIVES: To verify whether the estimated death rate of Israeli hostages was similar to the estimated death rate of Gaza citizens from these acts of war.

METHODS: We used two estimates of hostage death rates, one obtained from Israeli intelligence sources, and one published by a Hamas spokesperson. We used the Palestinian casualty rates published by the Palestinian Ministry of Health. We compared death rates using Fisher’s exact test.

RESULTS: By 30 December 2023, the rate of Israeli hostage death was 23/238 (9.7%) according to Israeli intelligence sources, and 60/238 (25.2%) according to Hamas. Both figures are strikingly and significantly higher than the death rate among Palestinians, estimated to be 19,667/2.2 million (0.89%) by 19 December 2023 (P < 0.0001).

CONCLUSIONS: Israeli airstrikes as the cause of death of Israeli hostages are implausible unless they were specifically exposed to these strikes more than Palestinian citizens.

PMID:38493323

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Nevin Manimala Statistics

Racial Disparity in Social Work Professional Licensure Exam Pass Rates: Examining Institutional Characteristics and State Licensure Policy as Predictors

J Evid Based Soc Work (2019). 2024 Mar-Apr;21(2):199-213. doi: 10.1080/26408066.2023.2285887. Epub 2023 Nov 24.

ABSTRACT

PURPOSE: The Association of Social Work Boards (2022a) released a report evidencing test-taker demographics as the strongest predictor of professional licensure exam pass-rates. The purpose of this study was to examine statistical predictors of social work professional licensure exam pass rate disparities between first-time Black/African American and White test-takers.

MATERIALS AND METHODS: The study addressed the following research question: To what extent do institutional and state licensure characteristics predict race-based disparities in social work licensure exam pass rates? To answer this question, the authors built a data set in an Excel spreadsheet comprised of institutional and state licensure variables using publicly available and reliable sources.

RESULTS: States requiring more clinical supervision hours and imposing higher licensure fees tended to report higher overall pass rates on the ASWB exam. Additionally, a notable correlation was found between states with a higher proportion of Black/African American residents and increased pass rates. Conversely, states that had established a larger number of licensure tiers typically saw lower overall pass rates. Furthermore, it was noted that schools located in the Southern U.S. demonstrated significantly lower ASWB pass rates compared to schools in other regions of the country.

DISCUSSION: Recommendations are made regarding future research efforts and professional licensure and regulation standards.

CONCLUSION: Pass rate disparities have implications for individual exam-takers and their families; for clients and constituencies; and for social work practice, research, ethics, and education.

PMID:38493306 | DOI:10.1080/26408066.2023.2285887

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Nevin Manimala Statistics

Association of in-line digestive enzyme cartridge with enteral feeds on improvement in anthropometrics among pediatric patients with cystic fibrosis

Nutr Clin Pract. 2024 Mar 16. doi: 10.1002/ncp.11142. Online ahead of print.

ABSTRACT

BACKGROUND: Approximately 85% of patients with cystic fibrosis (CF) have exocrine pancreatic insufficiency (EPI) with 10% requiring supplemental nighttime enteral tube feedings. Administration of pancreatic enzyme replacement therapy (PERT) with nighttime feedings is fraught with challenges. RELiZORB (Alcresta Therapeutics, Inc), an in-line lipase cartridge, delivers PERT continuously with enteral feedings. Outcomes related to the use of this in-line lipase cartridge are lesser known. This project evaluated anthropometrics related to in-line lipase cartridge use among pediatric patients with CF already receiving oral PERT therapy prior to nighttime enteral feedings.

METHODS: Retrospective chart review was performed on 29 patients with CF and EPI receiving supplemental tube feedings and utilizing in-line lipase cartridge for a continuous 12 month period between 2015 and 2019. Anthropometrics were evaluated 12 months before and after initiation of in-line lipase cartridge.

RESULTS: Compared with mean height z score at 6-months pre-in-line lipase cartridge, mean height z score at 6-months post-in-line-lipase cartridge (adjusted mean difference [AMD] = 0.2540; 95% CI = [0.0487, 0.4592]; P = 0.0153) and mean height z score at 12-months post-in-line lipase cartridge (AMD = 0.2684; 95% CI = [0.0203, 0.5166]; P = 0.0340) were significantly higher. Mean weight z score at 12-months post-in-line-lipase-cartridge neared statistical significance compared with 6-months pre-in-line lipase cartridge (AMD = 0.2816; 95% CI = [-0.0003, 0.5634]; P = 0.0502) when excluding seven patients with advanced lung disease (forced expiratory volume in the first second of expiration of 40%). Weight-for-length or body mass index did not significantly differ compared with pre-in-line lipase cartridge.

CONCLUSION: Use of in-line lipase cartridge with enteral feeds improved anthropometrics, especially height, in pediatric patients with CF.

PMID:38493301 | DOI:10.1002/ncp.11142