Nursing Care Dependency as Measured with the INICIARE Scale as a Predictor of In-Hospital Mortality: A Prospective Observational Study

2020 ◽  
Author(s):  
Sergio Barrientos-Trigo ◽  
Ana Maria Porcel-Gálvez ◽  
Elena Fernandez-Garcia ◽  
Olivia Aguilera-Castillo ◽  
Antonio Juan Perez-Fernandez ◽  
...  
2020 ◽  
Vol 33 (5) ◽  
pp. 653-659
Author(s):  
Jia Song ◽  
Yun Cui ◽  
Chunxia Wang ◽  
Jiaying Dou ◽  
Huijie Miao ◽  
...  

AbstractBackgroundThyroid hormone plays an important role in the adaptation of metabolic function to critically ill. The relationship between thyroid hormone levels and the outcomes of septic shock is still unclear. The aim of this study was to assess the predictive value of thyroid hormone for prognosis in pediatric septic shock.MethodsWe performed a prospective observational study in a pediatric intensive care unit (PICU). Patients with septic shock were enrolled from August 2017 to July 2019. Clinical and laboratory indexes were collected, and thyroid hormone levels were measured on PICU admission.ResultsNinety-three patients who fulfilled the inclusion criteria were enrolled in this study. The incidence of nonthyroidal illness syndrome (NTIS) was 87.09% (81/93) in patients with septic shock. Multivariate logistic regression analysis showed that T4 level was independently associated with in-hospital mortality in patients with septic shock (OR: 0.965, 95% CI: 0.937–0.993, p = 0.017). The area under receiver operating characteristic (ROC) curve (AUC) for T4 was 0.762 (95% CI: 0.655–0.869). The cutoff threshold value of 58.71 nmol/L for T4 offered a sensitivity of 61.54% and a specificity of 85.07%, and patients with T4 < 58.71 nmol/L showed high mortality (60.0%). Moreover, T4 levels were negatively associated with the pediatric risk of mortality III scores (PRISM III), lactate (Lac) level in septic shock children.ConclusionsNonthyroidal illness syndrome is common in pediatric septic shock. T4 is an independent predictor for in-hospital mortality, and patients with T4 < 58.71 nmol/L on PICU admission could be with a risk of hospital mortality.


Critical Care ◽  
2014 ◽  
Vol 18 (3) ◽  
pp. R92 ◽  
Author(s):  
Nara Costa ◽  
Ana Gut ◽  
José Alexandre Pimentel ◽  
Silvia Maria Cozzolino ◽  
Paula Azevedo ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0239902
Author(s):  
Stefan M. Herzog ◽  
Mirjam A. Jenny ◽  
Christian H. Nickel ◽  
Ricardo Nieves Ortega ◽  
Roland Bingisser

Background Generalized weakness and fatigue are underexplored symptoms in emergency medicine. Triage tools often underestimate patients presenting to the emergency department (ED) with these nonspecific symptoms (Nemec et al., 2010). At the same time, physicians’ disease severity rating (DSR) on a scale from 0 (not sick at all) to 10 (extremely sick) predicts key outcomes in ED patients (Beglinger et al., 2015; Rohacek et al., 2015). Our goals were (1) to characterize ED patients with weakness and/or fatigue (W|F); to explore (2) to what extent physicians’ DSR at triage can predict five key outcomes in ED patients with W|F; (3) how well DSR performs relative to two commonly used benchmark methods, the Emergency Severity Index (ESI) and the Charlson Comorbidity Index (CCI); (4) to what extent DSR provides predictive information beyond ESI, CCI, or their linear combination, i.e., whether ESI and CCI should be used alone or in combination with DSR; and (5) to what extent ESI, CCI, or their linear combination provide predictive information beyond DSR alone, i.e., whether DSR should be used alone or in combination with ESI and / or CCI. Methods Prospective observational study between 2013–2015 (analysis in 2018–2020, study team blinded to hypothesis) conducted at a single center. We study an all-comer cohort of 3,960 patients (48% female patients, median age = 51 years, 94% completed 1-year follow-up). We looked at two primary outcomes (acute morbidity (Bingisser et al., 2017; Weigel et al., 2017) and all-cause 1- year mortality) and three secondary outcomes (in-hospital mortality, hospitalization and transfer to ICU). We assessed the predictive power (i.e., resolution, measured as the Area under the ROC Curve, AUC) of the scores and, using logistic regression, their linear combinations. Findings Compared to patients without W|F (n = 3,227), patients with W|F (n = 733) showed higher prevalences for all five outcomes, reported more symptoms across both genders, and received higher DSRs (median = 4; interquartile range (IQR) = 3–6 vs. median = 3; IQR = 2–5). DSR predicted all five outcomes well above chance (i.e., AUCs > ~0.70), similarly well for both patients with and without W|F, and as good as or better than ESI and CCI in patients with and without W|F (except for 1-year mortality where CCI performs better). For acute morbidity, hospitalization, and transfer to ICU there is clear evidence that adding DSR to ESI and/or CCI improves predictions for both patient groups; for 1-year mortality and in-hospital mortality this holds for most, but not all comparisons. Adding ESI and/or CCI to DSR generally did not improve performance or even decreased it. Conclusions The use of physicians’ disease severity rating has never been investigated in patients with generalized weakness and fatigue. We show that physicians’ prediction of acute morbidity, mortality, hospitalization, and transfer to ICU through their DSR is also accurate in these patients. Across all patients, DSR is less predictive of acute morbidity for female than male patients, however. Future research should investigate how emergency physicians judge their patients’ clinical state at triage and how this can be improved and used in simple decision aids.


2021 ◽  
Vol 8 (41) ◽  
pp. 3528-3533
Author(s):  
Uday Subhash Bande ◽  
Kalinga Bommanakatte Eranaik ◽  
Basawantrao Kailash Patil ◽  
Manjunath Shivalingappa Hiremani ◽  
Sushma Shankaragouda Biradar

BACKGROUND Cardiovascular disease is a significant health problem in India with an estimate 3.7 million deaths each year. Mechanisms of myocardial ischemia include inflammation, endothelial dysfunction, platelet aggregation and coagulation. Acute coronary syndrome occurs due to rupture of atherosclerotic plaque. Platelets play a role in both development and rupture of the atherosclerotic plaque. Lymphocytes play a role in chronic inflammation of atherosclerosis. Lower lymphocyte count has increased mortality after acute myocardial infarction. METHODS The study was conducted in Department of General Medicine, Karnataka Institute of Medical Sciences, Hubli from February 2019 to December 2020. It is a prospective observational study. Patients aged ≥ 18 years with ST-elevated myocardial infarction (STEMI) were included in the study. Total 156 cases were selected based on inclusion and exclusion criteria. Cardiovascular events during the in-hospital period were noted. The study population was divided into tertiles based on the platelet-lymphocyte ratio (PLR) values. The low PLR group (n = 104) was defined as having values in the lower 2 tertiles (PLR ≤ 148.4) and the high PLR group (n = 52) was defined as having values in the highest tertile (PLR > 148.4). A ‘P’ value < 0.05 was considered statistically significant. RESULTS Out of 156 patients, 103 (66 %) were males and 53 (34 %) cases were female. Mean age group was 59 ± 10 years. Percentage of patients who underwent thrombolysis was higher in high PLR group (65.38 % vs. 48.07 %, P = 0.041). Death rate was higher in high PLR group (28.84 % vs. 8.65 %, P = 0.001). PLR > 148.4 was found to be an independent predictor of in-hospital cardiovascular mortality in multivariate analyses (hazard ratio: 13.222 (2.113-21.749) P = 0.006 with 95 % confidence interval). Receiver operating curve (ROC) analyses, a PLR value of 148.4 for in-hospital mortality rate had sensitivity of 62.5 % and a specificity of 72 % (area under the curve = 0.627, 95% confidence interval 0.485 – 0.769). CONCLUSIONS In our study, higher PLR had significant association with in-hospital mortality in patients with STEMI. KEYWORDS ST Elevation Myocardial Infarction (STEMI), Platelet/Lymphocyte Ratio (PLR), Ischemic Heart Disease (IHD)


Author(s):  
Ana María Porcel-Gálvez ◽  
Sergio Barrientos-Trigo ◽  
Eugenia Gil-García ◽  
Olivia Aguilera-Castillo ◽  
Antonio Juan Pérez-Fernández ◽  
...  

Background: In-hospital mortality is a key indicator of the quality of care. Studies so far have demonstrated the influence of patient and hospital-related factors on in-hospital mortality. Currently, new variables, such as nursing workload or the level of dependency, are being incorporated. We aimed to identify which individual, clinical and hospital characteristics are related to hospital mortality. Methods: A multicentre prospective observational study design was used. Sampling was conducted between February 2015 and October 2017. Patients over 16 years, admitted to medical or surgical units at 11 public hospitals in Andalusia (Spain), with a foreseeable stay of at least 48 h were included. Multivariate regression analyses were performed to analyse the data. Results: The sample consisted of 3821 assessments conducted in 1004 patients. The mean profile was that of a male (52%), mean age of 64.5 years old, admitted to a medical unit (56.5%), with an informal caregiver (60%). In-hospital mortality was 4%. The INICIARE (Inventario del Nivel de Cuidados Mediante Indicadores de Clasificación de Resultados de Enfermería) scale yielded an adjusted odds ratio [AOR] of 0.987 (95% confidence interval [CI]: 0.97–0.99) and the nurse staffing level (NSL) yielded an AOR of 1.197 (95% CI: 1.02–1.4). Conclusion: Nursing care dependency measured by INICIARE and nurse staffing level was associated with in-hospital mortality.


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