[Signs and symptoms in patients with decompensated heart failure: inference of priority nursing diagnoses].

Rev Gaucha Enferm

Programa de Pós-Graduação em Ciências da Saúde, Cardiologia e Ciências Cardiovasculares da Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brasil.

Published: September 2011

The aim of this study is to identify the signs and symptoms of patients admitted for decompensated heart failure (HF) in order to infer the priority nursing diagnoses (ND). This is a cross-sectional study undertaken in a university hospital. The data were collected by nurses trained to deal with HF and registered in a file containing identification items, and demographic and clinical variables. We included 303 patients. Most patients were in emergency departments (95.7%) with functional class III (65.7%). The signs and symptoms identified at the time of admission were dyspnea (91.4%), paroxysmal nocturnal dyspnea (87.5%), fatigue (67.3%), edema (63.7%), orthopnea (55.4 %) and jugular vein distention (28.7%). From the signs and symptoms raised, that became the set of relevant clues and consistent as an indicator for ND, we conclude that Decreased Cardiac Output and Fluid Volume Excess diagnoses were the priorities for this population.

Download full-text PDF

Source
http://dx.doi.org/10.1590/s1983-14472011000300022DOI Listing

Publication Analysis

Top Keywords

signs symptoms
12
symptoms patients
8
decompensated heart
8
heart failure
8
priority nursing
8
[signs symptoms
4
patients
4
patients decompensated
4
failure inference
4
inference priority
4

Similar Publications

Comprehensive histopathological analysis of gastric cancer in European and Latin America populations reveals differences in PDL1, HER2, p53 and MUC6 expression.

Gastric Cancer

January 2025

Department of Medical Oncology, Hospital Clinico Universitario, INCLIVA, Biomedical Research Institute, University of Valencia, Avenida Menendez Pelayo nro 4 accesorio, Valencia, Spain.

Introduction: Gastric cancer (GC) burden is currently evolving with regional differences associated with complex behavioural, environmental, and genetic risk factors. The LEGACy study is a Horizon 2020-funded multi-institutional research project conducted prospectively to provide comprehensive data on the tumour biological characteristics of gastroesophageal cancer from European and LATAM countries.

Material And Methods: Treatment-naïve advanced gastroesophageal adenocarcinoma patients were prospectively recruited in seven European and LATAM countries.

View Article and Find Full Text PDF

Background/purpose: Although metabolic dysfunction-associated steatotic liver disease (MASLD) has been proposed to replace the diagnosis of non-alcoholic fatty liver disease (NAFLD) with new diagnostic criteria since 2023, the genetic predisposition of MASLD remains to be explored.

Methods: Participants with data of genome-wide association studies (GWAS) in the Taiwan Biobank database were collected. Patients with missing data, positive for HBsAg, anti-HCV, and alcohol drinking history were excluded.

View Article and Find Full Text PDF

We sought to evaluate the intracardiac morphology and associated cardiovascular anomalies in patients with double inlet right ventricle (DIRV) on multidetector CT angiography. A retrospective search of our departmental database was conducted from January 2014 to January 2023 to identify patients with a diagnosis of DIRV on CT angiography. The intracardiac anatomy and associated cardiovascular abnormalities were systematically evaluated.

View Article and Find Full Text PDF

Purpose: There is an increasing incidence of young breast cancer (YBC) patients with uncertainty surrounding the factors and patterns that are contributing.

Methods: We obtained characteristics and survival data from 206,156 YBC patients (≤ 40 years of age) diagnosed between 2005 and 2019 from the National Cancer Database (NCDB). Patients were subdivided into two comparison groups based on year of diagnosis (2005-2009, Old vs.

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!