scholarly journals External Validation of the Prognostic Prediction Model for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study

2021 ◽  
Vol Volume 14 ◽  
pp. 3027-3034
Author(s):  
Hui Zhang ◽  
Dandan Chen ◽  
Jin Shao ◽  
Ping Zou ◽  
Nianqi Cui ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Prediction Model ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
External Validation ◽  
Prognostic Prediction

scholarly journals Abdominal Obesity and Short-term Mortality in Critically Ill Patients with Sepsis: A Retrospective Cohort Study Based on the MIMIC-IV Database

2021 ◽  
Author(s):  
Zhou Lv ◽  
Minglu Gu ◽  
Miao Zhou ◽  
Yanfei Mao ◽  
Lai Jiang
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Intensive Care ◽  
Abdominal Obesity ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Obese Patients ◽  
Short Term ◽  
Icu Admission ◽  
Short Term Mortality

Abstract Purpose: Multiple studies have demonstrated an obesity paradox such that obese septic patients have a lower mortality rate and a relatively favorable prognosis. However, less is known on the association between abdominal obesity and short-term mortality in patients with sepsis. We conducted this study to determine whether the obesity-related survival benefit remains among abdominal obese patients.Methods: A retrospective cohort study was conducted using data derived from the Medical Information Mart for Intensive Care IV database. Septic patients (≥18 years) with or without abdominal obesity of first intensive care units (ICU) admission in the database were enrolled. The primary outcome was mortality within 28 days of ICU admission and multivariable logistic regression analyses were employed to assess any association between abdominal obesity and the outcome variable.Results: A total of 21534 patients were enrolled finally, the crude 28-day mortality benefit after ICU admission was not observed in patients with abdominal obesity (15.8% vs. 15.3%, p=0.32). In the extended multivariable logistic models, the odds ratio (OR) of abdominal obesity was significantly inversed after incorporating metabolic variables into the logistic model (OR range 1.094-2.872, p = 0.02). The subgroup analysis showed interaction effects in impaired fasting blood glucose/diabetes and metabolic syndrome subgroups (P = 0.001 and <0.001, respectively). In the subgroups of blood pressure, high-density lipoprotein cholesterol, and triglyceride level, no interaction was detected in the association between abdominal obesity and mortality. After propensity score matching, 6523 pairs of patients were selected. The mortality significantly higher in the abdominal obesity group (17.0% vs. 14.8%, p = 0.015). Notably, the non-abdominal obese patients were weaned off vasopressors and mechanical ventilation more quickly than those in the abdominal obesity group (vasopressor‑free days on day 28 of 27.0 vs. 26.8, p < 0.001; ventilation-free days on day 28 of 26.7 vs. 25.6, p < 0.001).Conclusion: Abdominal obesity was associated with increased risk of adjusted sepsis-related mortality within 28 days after ICU admission and was partially mediated through metabolic syndrome components.

scholarly journals Prediction Model for Hospital-Acquired Pressure Ulcer Development: Retrospective Cohort Study

10.2196/13785 ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. e13785 ◽  
Author(s):  
Sookyung Hyun ◽  
Susan Moffatt-Bruce ◽  
Cheryl Cooper ◽  
Brenda Hixon ◽  
Pacharmon Kaewprag
Keyword(s):  
Cohort Study ◽  
Prediction Model ◽  
Pressure Ulcer ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Pressure Ulcer Development ◽  
Hospital Acquired

scholarly journals Association of metabolic syndrome with glioblastoma: a retrospective cohort study and review

2020 ◽  
Vol 7 (5) ◽  
pp. 541-548
Author(s):  
Lisa R Rogers ◽  
Quinn T Ostrom ◽  
Julia Schroer ◽  
Jaime Vengoechea ◽  
Li Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Overall Survival ◽  
Risk Factor ◽  
Cohort Study ◽  
General Population ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Laboratory Data ◽  
The Metabolic Syndrome ◽  
Clinical Records

Abstract Background Metabolic syndrome is identified as a risk factor for the development of several systemic cancers, but its frequency among patients with glioblastoma and its association with clinical outcomes have yet to be determined. The aim of this study was to investigate metabolic syndrome as a risk factor for and affecting survival in glioblastoma patients. Methods A retrospective cohort study, consisting of patients with diagnoses at a single institution between 2007 and 2013, was conducted. Clinical records were reviewed, and clinical and laboratory data pertaining to 5 metabolic criteria were extrapolated. Overall survival was determined by time from initial surgical diagnosis to date of death or last follow-up. Results The frequency of metabolic syndrome among patients diagnosed with glioblastoma was slightly greater than the frequency of metabolic syndrome among the general population. Within a subset of patients (n = 91) receiving the full schedule of concurrent radiation and temozolomide and adjuvant temozolomide, median overall survival was significantly shorter for patients with metabolic syndrome compared with those without. In addition, the presence of all 5 elements of the metabolic syndrome resulted in significantly decreased median survival in these patients. Conclusions We identified the metabolic syndrome at a slightly higher frequency in patients with diagnosed glioblastoma compared with the general population. In addition, metabolic syndrome with each of its individual components is associated with an overall worse prognosis in patients receiving the standard schedule of radiation and temozolomide after adjustment for age.

scholarly journals External validation of the detection of indicators and vulnerabilities for emergency room trips (DIVERT) scale: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fabrice I. Mowbray ◽  
Aaron Jones ◽  
Connie Schumacher ◽  
John Hirdes ◽  
Andrew P. Costa
Keyword(s):  
Cohort Study ◽  
Home Care ◽  
Emergency Room ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Reporting System ◽  
Predictive Accuracy ◽  
External Validation ◽  
Discriminative Ability ◽  
Geographical Regions

Abstract Background The Detection of Indicators and Vulnerabilities of Emergency Room Trips (DIVERT) scale was developed to classify and estimate the risk of emergency department (ED) use among home care clients. The objective of this study was to externally validate the DIVERT scale in a secondary population of home care clients. Methods We conducted a retrospective cohort study, linking data from the Home Care Reporting System and the National Ambulatory Care Reporting System. Data were collected on older long-stay home care clients who received a RAI Home Care (RAI-HC) assessment. Data were collected for home care clients in the Canadian provinces of Ontario and Alberta, as well as in the cities of Winnipeg, Manitoba and Whitehorse, Yukon Territories between April 1, 2011 and September 30, 2014. The DIVERT scale was originally derived from the items of the RAI-HC through the use of recursive partitioning informed by a multinational clinical panel. This scale is currently implemented alongside the RAI-HC in provinces across Canada. The primary outcome of this study was ED visitation within 6 months of a RAI-HC assessment. Results The cohort contained 1,001,133 home care clients. The vast majority of cases received services in Ontario (88%), followed by Alberta (8%), Winnipeg (4%), and Whitehorse (< 1%). Across the four cohorts, the DIVERT scale demonstrated similar discriminative ability to the original validation work for all outcomes during the six-month follow-up: ED visitation (AUC = 0.617–0.647), two or more ED visits (AUC = 0.628–0.634) and hospital admission (AUC = 0.617–0.664). Conclusions The findings of this study support the external validity of the DIVERT scale. More specifically, the predictive accuracy of the DIVERT scale from the original work was similar to the accuracy demonstrated within a new cohort, created from different geographical regions and time periods.

A risk prediction model for xerostomia: a retrospective cohort study

Gerodontology ◽  
2015 ◽  
Vol 33 (4) ◽  
pp. 562-568 ◽  
Author(s):  
Alessandro Villa ◽  
Francesco Nordio ◽  
Anita Gohel
Keyword(s):  
Cohort Study ◽  
Prediction Model ◽  
Risk Prediction ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Risk Prediction Model
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