Falls from Height. Analysis of Predictors of Death in a Single-Center Retrospective Study.

J Clin Med

General Surgery and Trauma Team, ASST Niguarda, Milano, Piazza Ospedale Maggiore 3, 20162 Milan, Italy.

Published: September 2020

Falls from height (FFH) represent a distinct form of blunt trauma in urban areas. This study aimed to identify independent predictors of in-hospital mortality after accidental or intentional falls in different age groups. We conducted a retrospective study of all patients consecutively admitted after a fall in eight years, recording mechanism, intentionality, height of fall, age, site, classification of injuries, and outcome. We built multivariate regression models to identify independent predictors of mortality. A total of 948 patients with 82 deaths were observed. Among the accidental falls, mortality was 5.2%, whereas intentional jumpers showed a mortality of 20.4%. The death rate was higher for increasing heights, age >65, suicidal attempts, and injuries with AIS ≥3 (Abbreviated Injury Scale). Older patients reported a higher in-hospital mortality rate. Multivariate analysis identified height of fall, dynamic and severe head and chest injuries as independent predictors of mortality in the young adults' group (18-65 years). For patients aged more than 65 years, the only risk factor independently related to death was severe head injuries. Our data demonstrate that in people older than 65, the height of fall may not represent a predictor of death.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601239PMC
http://dx.doi.org/10.3390/jcm9103175DOI Listing

Publication Analysis

Top Keywords

independent predictors
12
height fall
12
falls height
8
retrospective study
8
identify independent
8
in-hospital mortality
8
predictors mortality
8
severe head
8
mortality
6
falls
4

Similar Publications

Objective: The aim of this study was to evaluate the association of neighborhood-level and individual-level measures of socioeconomic status with readmission, complication rates, and postoperative length of stay of patients with cervical spondylotic myelopathy (CSM) in the Deep South.

Methods: The authors identified all patients undergoing surgical intervention for the treatment of CSM from November 2010 to February 2022 using Current Procedural Terminology and ICD-9/ICD-10 codes. Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record.

View Article and Find Full Text PDF

Objective: There is no evidence to suggest that an association exists between the remnant cholesterol (RC) to high-density lipoprotein cholesterol (HDL-C) ratio and gestational diabetes mellitus (GDM). In this study, the RC/HDL-C ratio during the first trimester was examined as a potential indicator of the onset of GDM during the second trimester.

Methods: This was a secondary analysis of data from a Korea-based prospective cohort study.

View Article and Find Full Text PDF

Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.

Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.

View Article and Find Full Text PDF

Background: Non-response to cardiac resynchronization therapy (CRT) is an important issue in the treatment of heart failure with reduced ejection fraction (HFrEF) and non-left bundle branch block (LBBB). Electrocardiogram-gated myocardial perfusion single-photon emission computed tomography imaging (G-MPI SPECT) is typically used to assess left ventricular (LV) dyssynchrony. This study aimed to determine whether G-MPI parameters are associated with non-responsiveness to CRT.

View Article and Find Full Text PDF

Background: Many studies have developed or validated predictive models to estimate the risk of sarcopenia in dialysis patients, but the quality of model development and the applicability of the models remain unclear.

Objective: To systematically review and critically evaluate currently available predictive models for sarcopenia in dialysis patients.

Methods: We systematically searched five databases until March 2024.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!