Categories
Nevin Manimala Statistics

Prostate cancer survival in South West Victoria

Aust J Rural Health. 2022 May 23. doi: 10.1111/ajr.12875. Online ahead of print.

ABSTRACT

OBJECTIVE: To explore reasons for survival disparities for patients with prostate cancer in the Barwon South West area of Victoria.

DESIGN, SETTING AND PARTICIPANTS: We have described incidence, diagnostics, treatment pathways, and survival for four regions of the Barwon South Western Victoria. Analysis included all newly diagnosed prostate cancer patients from 2009 to 2015 in the Evaluation of Cancer Outcomes Barwon South West Registry. Regions included 1: Queenscliffe 2: Geelong, Colac Otway and Corangamite 3: Moyne, Warrnambool and Southern Grampians and 4: Glenelg. Across the four regions, variables were compared using a chi square statistic or analysis of variance and survival data was assessed with the Kaplan-Meier curves.

MAIN OUTCOME MEASURES: Incidence, treatment pathways and survival for prostate cancer patients.

RESULTS: A total of 1776 patients were diagnosed with prostate cancer from 2009 to 2015 in the Barwon South West area. In regions 1-4, there were 298 (1.04%), 1085 (0.92%), 273 (0.97%) and 120 (1.2%) cases, respectively. There was no significant difference in Gleason score and treatment. The 5-year survival rate was 85%, 76%, 71% and 80%, respectively, as compared with the national average of 95%. PSA scores >20 ng/ml at diagnosis, as a surrogate for high-risk disease, occurred in 23%, 29%, 22% and 21%, respectively (p < 0.01). The proportions presenting with stage IV disease were 17%, 26%, 21% and 6%, respectively (p = 0.10).

CONCLUSION: Men diagnosed with prostate cancer in South West Victoria have a considerably lower 5-year survival compared with the national average with later disease at presentation in some areas.

PMID:35605157 | DOI:10.1111/ajr.12875

Categories
Nevin Manimala Statistics

Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study

Scand J Gastroenterol. 2022 May 23:1-6. doi: 10.1080/00365521.2022.2070436. Online ahead of print.

ABSTRACT

BACKGROUND: Artificial intelligence (AI) for polyp detection is being introduced to colonoscopy, but there is uncertainty how this affects endoscopists’ ability to detect polyps and neoplasms. We performed a video-based study to address whether AI improved the endoscopists’ performance to detect polyps.

METHODS: We established a dataset of 200 colonoscopy videos (length 5 s; 100 without polyps and 100 with one polyp). About 33 early-career endoscopists (50-400 colonoscopies performed) from 10 European countries classified each video as either ‘polyp present’ or ‘polyp not present’. The video assessment was performed twice with a four-week interval. The first assessment was performed without any AI tool, whereas the second was performed with an AI tool for polyp detection. The primary endpoint was early-career endoscopists’ sensitivity to detect polyps. Gold standard for presence and histology of polyps were confirmed by two expert endoscopists and pathologists, respectively. McNemar’s test was used for statistical significance.

RESULTS: There were 86 neoplastic and 14 non-neoplastic polyps (mean size 5.6 mm) in the 100 videos with polyps. Early-career endoscopists’ sensitivity to detect polyps increased from 86.3% (95% confidence interval [CI]: 85.1-87.5%) to 91.7% (95%CI: 90.7-92.6%) with the AI aid (p < .0001). Their sensitivity to detect neoplastic polyps increased from 85.4% (95% CI: 84.0-86.7%) to 92.1% (95%CI: 91.1-93.1%) with the AI aid (p < .0001).

CONCLUSION: The polyp detection AI tool helped early-career endoscopists to increase their sensitivity to identify all polyps and neoplastic polyps during colonoscopy.

PMID:35605150 | DOI:10.1080/00365521.2022.2070436

Categories
Nevin Manimala Statistics

Analysis of 256 pediatric oral and maxillofacial emergency in-patients during the outbreak of COVID-19

Dent Traumatol. 2022 May 23. doi: 10.1111/edt.12759. Online ahead of print.

ABSTRACT

BACKGROUND/AIMS: Pediatric oral and maxillofacial surgeons have faced severe challenges in ward management due to their high risk of exposure during the COVID-19 epidemic. The aim of this study was to analyze and summarize the treatment methods and infection prevention and control measures applied in emergency cases in the Department of Pediatric Oral and Maxillofacial Surgery, Children’s Hospital of Chongqing Medical University, during the COVID-19 epidemic.

METHODS: In this retrospective study, information was collected from 256 pediatric emergency patients who were treated from January 23, 2020 to August 9, 2021. The patients’ data were statistically analyzed according to age, gender, disease and pathogenesis, operation time, and the main treatment applied in pediatric oral and maxillofacial emergency cases during the COVID-19 epidemic.

RESULTS: During the epidemic period, 256 pediatric emergency patients were successfully treated. Among them, there were 170 boys and 86 girls. In all, 182 patients were diagnosed with oral or facial lacerations; 43 had jaw fractures; 26 had maxillofacial infections; and five had dento-alveolar fractures. A total of 246 patients underwent surgery under negative pressure with level 3 protection standards. No doctors or patients infected with COVID-19 were found throughout the stury period.

CONCLUSIONS: Pediatric oral and maxillofacial emergency in-patients mainly experienced maxillofacial trauma during the COVID-19 epidemic, followed by infection. Effective diagnosis and treatment, and avoidance of COVID-19 infection can be achieved by strictly following epidemic prevention and treatment procedures.

PMID:35605156 | DOI:10.1111/edt.12759

Categories
Nevin Manimala Statistics

Evaluation of the safety of a novel peripheral vasopressor pilot program and the impact on central line placement in medical and surgical intensive care units

Am J Health Syst Pharm. 2022 May 23:zxac144. doi: 10.1093/ajhp/zxac144. Online ahead of print.

ABSTRACT

DISCLAIMER: In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE: The purpose of this quality improvement project was to evaluate the safety and feasibility of peripheral vasopressor administration in an attempt to minimize the placement and improve early removal of unnecessary central lines to reduce central line-associated bloodstream infection (CLABSI) rates.

METHODS: A retrospective chart review was conducted on patients who received vasopressors via peripheral infusion over 3 months, starting at the time of guideline implementation.

RESULTS: We identified 129 vasopressor orders among 79 patients that were administered peripherally. Among these orders, 3 events were documented as possible extravasation events. Forty-five patients (57%) did not require central line placement due to increasing vasopressor requirements. Standard utilization ratio data suggest minimal central line impact of the protocol implementation. December 2020 to February 2021 was associated with a large second peak of coronavirus disease 2019 (COVID-19) in our region. Utilization of central lines was less than predicted in December 2020 to February 2021 in 2 of our 3 intensive care units (ICUs); however, the differences were statistically significant on only 3 occasions. In the third ICU, utilization was greater than predicted, but this unit housed a majority of the most critically ill patients with COVID-19.

CONCLUSION: This study suggests that short-term use of select vasopressors at conservative doses is safe for peripheral administration and points toward efficacy at preventing central line placement. Further analysis is required to confirm efficacy.

PMID:35605137 | DOI:10.1093/ajhp/zxac144

Categories
Nevin Manimala Statistics

Mortality prediction in hip fracture patients: physician assessment versus prognostic models

J Orthop Trauma. 2022 May 20. doi: 10.1097/BOT.0000000000002412. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate two prognostic models for mortality after a fracture of the hip, the Nottingham Hip Fracture Score (NHFS) and Hip fracture Estimator of Mortality Amsterdam (HEMA), and to compare their predictive performance to physician assessment of mortality risk in hip fracture patients.

DESIGN: Prospective cohort study.

SETTING: Two level 2 trauma centers located in The Netherlands.

PATIENTS: Two hundred forty-four patients admitted to the Emergency Departments of both hospitals with a fractured hip.

INTERVENTION: Data used in both prediction models were collected at the time of admission for each individual patient, as well as predictions of mortality by treating physicians.

MAIN OUTCOME MEASUREMENTS: Predictive performances were evaluated for 30-day, 1-year and 5-year mortality. Discrimination was assessed with the Area Under the Curve (AUC); calibration with the Hosmer-Lemeshow goodness-of-fit test and calibration plots; clinical usefulness in terms of accuracy, sensitivity and specificity.

RESULTS: Mortality was 7.4% after 30 days, 22.1% after one year and 59.4% after five years. There were no statistically significant differences in discrimination between the prediction methods (AUC 0.73 – 0.80). The NHFS demonstrated underfitting for 30-day mortality and failed to identify the majority of high-risk patients (sensitivity 33%). The HEMA showed systematic overestimation and overfitting. Physicians were able to identify most high-risk patients for 30-day mortality (sensitivity 78%), but with some overestimation. Both risk models demonstrated a lack of fit when used for 1-year and 5-year mortality predictions.

CONCLUSIONS: In this study, prognostic models and physicians demonstrated similar discriminating abilities when predicting mortality in hip fracture patients. While physicians overestimated mortality, they were better at identifying high-risk patients and at predicting long-term mortality.

LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

PMID:35605101 | DOI:10.1097/BOT.0000000000002412

Categories
Nevin Manimala Statistics

Reliability of Modified Radiographic Union Score for Tibia Scores in the Evaluation of Femoral Shaft Fractures in a Low-resource Setting

J Am Acad Orthop Surg Glob Res Rev. 2022 May 1;6(5). doi: 10.5435/JAAOSGlobal-D-21-00211.

ABSTRACT

INTRODUCTION: The modified Radiographic Union Score for Tibia (RUST) fractures was developed to better describe fracture healing, but its utility in resource-limited settings is poorly understood. This study aimed to determine the validity of mRUST scores in evaluating fracture healing in diaphyseal femur fractures treated operatively at a single tertiary referral hospital in Tanzania.

METHODS: Radiographs of 297 fractures were evaluated using the mRUST score and compared with outcomes including revision surgery and EuroQol five dimensions questionnaire (EQ-5D) and visual analog scale (VAS) quality-of-life measures. Convergent validity was assessed by correlating mRUST scores with EQ-5D and VAS scores. Divergent validity was assessed by comparing mRUST scores in patients based on revision surgery status.

RESULTS: The mRUST score had moderate correlation (Spearman correlation coefficient 0.40) with EQ-5D scores and weak correlation (Spearman correlation coefficient 0.320) with VAS scores. Compared with patients who required revision surgery, patients who did not require revision surgery had higher RUST scores at all time points, with statistically significant differences at 3 months (2.02, P < 0.05).

DISCUSSION: These results demonstrate that the mRUST score is a valid method of evaluating the healing of femoral shaft fractures in resource-limited settings, with high interrater reliability, correlation with widely used quality of life measures (EQ-5D and VAS), and expected divergence in the setting of complications requiring revision surgery.

PMID:35605095 | DOI:10.5435/JAAOSGlobal-D-21-00211

Categories
Nevin Manimala Statistics

Response to letter to editor

J Biopharm Stat. 2022 May 23:1-2. doi: 10.1080/10543406.2022.2065503. Online ahead of print.

NO ABSTRACT

PMID:35605090 | DOI:10.1080/10543406.2022.2065503

Categories
Nevin Manimala Statistics

Post-acute and Long-term Care Providers and Services Users in the United States, 2017-2018

Vital Health Stat 3. 2022 May;(47):1-93.

ABSTRACT

This report presents the most current national results from the National Study of Long-Term Care Providers (NSLTCP), conducted by the National Center for Health Statistics (NCHS) to describe providers and services users in seven major sectors of paid, regulated postacute and long-term care services in the United States.

PMID:35604771

Categories
Nevin Manimala Statistics

Physical Activity Behavior of Patients at a Skilled Nursing Facility: Longitudinal Cohort Study

JMIR Mhealth Uhealth. 2022 May 23;10(5):e23887. doi: 10.2196/23887.

ABSTRACT

BACKGROUND: On-body wearable sensors have been used to predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In our previous work, we introduced a generic remote patient monitoring framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and the extraction of indoor localization using Bluetooth low energy beacons, in concert. Using the same framework, this paper addresses the longitudinal analyses of a group of patients in a skilled nursing facility. We try to investigate if the metrics derived from a remote patient monitoring system comprised of physical activity and indoor localization sensors, as well as their association with therapist assessments, provide additional insight into the recovery process of patients receiving rehabilitation.

OBJECTIVE: The aim of this paper is twofold: (1) to observe longitudinal changes of sensor-based physical activity and indoor localization features of patients receiving rehabilitation at a skilled nursing facility and (2) to investigate if the sensor-based longitudinal changes can complement patients’ changes captured by therapist assessments over the course of rehabilitation in the skilled nursing facility.

METHODS: From June 2016 to November 2017, patients were recruited after admission to a subacute rehabilitation center in Los Angeles, CA. Longitudinal cohort study of patients at a skilled nursing facility was followed over the course of 21 days. At the time of discharge from the skilled nursing facility, the patients were either readmitted to the hospital for continued care or discharged to a community setting. A longitudinal study of the physical therapy, occupational therapy, and sensor-based data assessments was performed. A generalized linear mixed model was used to find associations between functional measures with sensor-based features. Occupational therapy and physical therapy assessments were performed at the time of admission and once a week during the skilled nursing facility admission.

RESULTS: Of the 110 individuals in the analytic sample with mean age of 79.4 (SD 5.9) years, 79 (72%) were female and 31 (28%) were male participants. The energy intensity of an individual while in the therapy area was positively associated with transfer activities (β=.22; SE 0.08; P=.02). Sitting energy intensity showed positive association with transfer activities (β=.16; SE 0.07; P=.02). Lying down energy intensity was negatively associated with hygiene activities (β=-.27; SE 0.14; P=.04). The interaction of sitting energy intensity with time (β=-.13; SE 0.06; P=.04) was associated with toileting activities.

CONCLUSIONS: This study demonstrates that a combination of indoor localization and physical activity tracking produces a series of features, a subset of which can provide crucial information to the story line of daily and longitudinal activity patterns of patients receiving rehabilitation at a skilled nursing facility. The findings suggest that detecting physical activity changes within locations may offer some insight into better characterizing patients’ progress or decline.

PMID:35604762 | DOI:10.2196/23887

Categories
Nevin Manimala Statistics

How to model and interpret cross-lagged effects in psychotherapy mechanisms of change research: A comparison of multilevel and structural equation models

J Consult Clin Psychol. 2022 May;90(5):446-458. doi: 10.1037/ccp0000727.

ABSTRACT

OBJECTIVE: Modeling cross-lagged effects in psychotherapy mechanisms of change studies is complex and requires careful attention to model selection and interpretation. However, there is a lack of field-specific guidelines. We aimed to (a) describe the estimation and interpretation of cross lagged effects using multilevel models (MLM) and random-intercept cross lagged panel model (RI-CLPM); (b) compare these models’ performance and risk of bias using simulations and an applied research example to formulate recommendations for practice.

METHOD: Part 1 is a tutorial focused on introducing/describing dynamic effects in the form of autoregression and bidirectionality. In Part 2, we compare the estimation of cross-lagged effects in RI-CLPM, which takes dynamic effects into account, with three commonly used MLMs that cannot accommodate dynamics. In Part 3, we describe a Monte Carlo simulation study testing model performance of RI-CLPM and MLM under realistic conditions for psychotherapy mechanisms of change studies.

RESULTS: Our findings suggested that all three MLMs resulted in severely biased estimates of cross-lagged effects when dynamic effects were present in the data, with some experimental conditions generating statistically significant estimates in the wrong direction. MLMs performed comparably well only in conditions which are conceptually unrealistic for psychotherapy mechanisms of change research (i.e., no inertia in variables and no bidirectional effects).

DISCUSSION: Based on conceptual fit and our simulation results, we strongly recommend using fully dynamic structural equation modeling models, such as the RI-CLPM, rather than static, unidirectional regression models (e.g., MLM) to study cross-lagged effects in mechanisms of change research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

PMID:35604748 | DOI:10.1037/ccp0000727