Age, Prognostic Nutritional Index, and Charlson Comorbidity Index Were Independent Risk Factors for Postoperative Long-Term Mortality in Chinese Geriatric Patients Who Sustain Hip Fracture

Author(s):  
Long Feng ◽  
Shihui Fu ◽  
Yao Yao ◽  
Weixiu Yuan ◽  
Yali Zhao
Author(s):  
Göksel Çinier ◽  
Mert İlker Hayıroğlu ◽  
Levent Pay ◽  
Ahmet Çağdaş Yumurtaş ◽  
Ozan Tezen ◽  
...  

Critical Care ◽  
2015 ◽  
Vol 19 (Suppl 1) ◽  
pp. P16
Author(s):  
J Francisco ◽  
I Aragão ◽  
T Cardoso

2021 ◽  
Author(s):  
Miao He ◽  
Qinghong Fan ◽  
Yuhang Zhu ◽  
Dexing Liu ◽  
Xingxing Liu ◽  
...  

Abstract Background: Surgery is usually the best treatment for patients with femoral fractures. However, the incidence of perioperative adverse outcomes in such cases is quite high. Nutrition has a major influence on fracture healing, and malnutrition is associated with higher complication rates, higher mortality rates, and longer hospitalisation periods. In this study, we aimed to identify independent risk factors and assess the predictive value of the prognostic nutritional index (PNI) for perioperative adverse outcomes in patients with femoral fractures. Methods: This retrospective observational study included 343 patients who underwent surgery for a single femur fracture at the Affiliated Hospital of Zunyi Medical University in 2018. Binary logistic regression analysis was applied to identify significant independent risk factors. The discriminatory ability of independent predictors was assessed using the receiver operating characteristic curve analysis, and DeLong's test was used to compare the area under the curve (AUC). Results: In total, 159 patients (46.4%) had perioperative adverse outcomes. PNI (OR: 0.819, 95% CI: 0.754–0.889, P < 0.001), age (OR: 1.042, 95% CI: 1.020–1.066, P < 0.001), time to admission (OR: 1.404, 95% CI: 1.117–1.765, P = 0.004), hypertension (OR: 1.912, 95% CI: 1.049–3.488, P = 0.034), combined injures (OR: 2.739, 95% CI: 1.338–5.607, P = 0.006), and operation types (OR: 3.696, 95% CI: 1.913–7.138, P < 0.001) were independent factors for perioperative adverse outcomes. Based on the AUC (PNI: 0.772, 95% CI: 0.723–0.821, P < 0.001; age: 0.678, 95% CI: 0.622–0.734, P < 0.001; time to admission: 0.585, 95% CI: 0.525–0.646, P = 0.006), the PNI had the optimal discrimination ability, indicating its superiority over other independent predictors (age vs. PNI, P = 0.002; time to admission vs. PNI, P < 0.001). Conclusions: This study showed that the PNI was a better and effective independent predictor of perioperative adverse outcomes in patients with femoral fractures. Our findings suggest that nutritional assessment at admission and appropriate intervention strategies are necessary for patients with femoral fractures.


2021 ◽  
Author(s):  
Yunxu Tian ◽  
Yanbin Zhu ◽  
Kexin Zhang ◽  
Miao Tian ◽  
Shuhui Qin ◽  
...  

Abstract Objective: Large sample investigations for risk factors for pneumonia in elderly patients after hip fracture surgeries are lacking. The purpose of this study is to determine the incidence and risk factors for postoperative pneumonia in geriatric patients following hip fracture operations.Methods: A retrospective study of incidence and risk factors in a tertiary referral center between 2016 and 2020 was conducted. Geriatric patients who developed postoperative pneumonia after surgeries of hip fracture during hospitalization stay were defined as cases and those without as controls. Multivariate logistic regression model was used to evaluate risk factors for postoperative pneumonia.Results: This study included 3147 patients, and 182 developed postoperative pneumonia, denoting the rate of 5.7%. In the multivariate analyses, age (OR, 1.04; 95% CI, 1.02–1.06), sex (males) (OR, 2.27; 95% CI, 1.64-3.13), respiratory disease (OR, 3.74; 95% CI, 2.32–6.04), heart disease (OR, 1.68; 95% CI, 1.14–2.47), cerebrovascular disease (OR, 1.58; 95% CI, 1.11–2.27), liver disease (OR, 2.61; 95% CI, 1.33–5.15), preoperative stay (OR, 1.08; 95% CI, 1.05–1.11) and general anesthesia (OR, 1.61; 95% CI, 1.15-2.27) were identified as independent risk factors for postoperative pneumonia.Conclusions: This study identified several risk factors for pneumonia in geriatric patients after hip fracture operations, providing a viable preventive strategy for optimizing clinical conditions for reductionof postoperative pneumonia.


2009 ◽  
Vol 38 (6) ◽  
pp. 734-740 ◽  
Author(s):  
G. Testa ◽  
F. Cacciatore ◽  
G. Galizia ◽  
D. Della-Morte ◽  
F. Mazzella ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yu-Hang Chen ◽  
Ching-Hsin Chou ◽  
Hsin-Hsien Su ◽  
Yu-Ting Tsai ◽  
Ming-Hsiu Chiang ◽  
...  

Abstract Introduction The neutrophil-to-lymphocyte ratio (NLR) is a crucial prognosis predictor following several major operations. However, the association between NLR and the outcome after hip fracture surgery is unclear. In this meta-analysis, we investigated the correlation between NLR and postoperative mortality in geriatric patients following hip surgery. Method PubMed, Embase, Cochrane library, and Google Scholar were searched for studies up to June 2021 reporting the correlation between NLR and postoperative mortality in elderly patients undergoing surgery for hip fracture. Data from studies reporting the mean of NLR and its 95% confidence interval (CI) were pooled. Both long-term (≥ 1 year) and short-term (≤ 30 days) mortality rates were included for analysis. Result Eight retrospective studies comprising a total of 1563 patients were included. Both preoperative and postoperative NLRs (mean difference [MD]: 2.75, 95% CI: 0.23–5.27; P = 0.03 and MD: 2.36, 95% CI: 0.51–4.21; P = 0.01, respectively) were significantly higher in the long-term mortality group than in the long-term survival group. However, no significant differences in NLR were noted between the short-term mortality and survival groups (MD: − 1.02, 95% CI: − 3.98 to 1.93; P = 0.5). Conclusion Higher preoperative and postoperative NLRs were correlated with a higher risk of long-term mortality following surgery for hip fracture in the geriatric population, suggesting the prognostic value of NLR for long-term survival. Further studies with well-controlled confounders are warranted to clarify the predictive value of NLR in clinical practice in geriatric patients with hip fracture.


EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
G Cinier ◽  
MI Hayiroglu ◽  
L Pay ◽  
AC Yumurtas ◽  
O Tezen ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background The benefit of implantable cardiac defibrillator (ICD) in patients with heart failure and reduced ejection fraction (HFrEF) could be limited in a particular group of patients. Low prognostic nutritional index (PNI) indicates malnutrition and pro-inflammatory condition. We sought to investigate the value of PNI in predicting long-term mortality among HFrEF patients with ICD. Methods Electronic database was searched for identifying patients with HFrEF who were implanted ICD in our institution between 2009 and 2019. Demographic and clinical characteristics of included patients were recorded. PNI was calculated according to the formula: 10 x serum albumin (g/dL) + 0.005 x total lymphocyte count (per mm3). Patients were divided into the quartiles according to PNI values. Differences between the groups were analysed by the log-rank test. A forward Cox proportional regression model was used for multivariable analysis. Results One thousand and hundred patients were included to the study. The underlying heart failure etiology was ischemic and non-ischemic in 77.3% and 22.7% of patients respectively. Mortality rate in Q1 (5.1%) was considered as the reference. In the unadjusted model the mortality rate was 9.5% [hazard ratio (HR) 1.76, 95% confidence interval (95% CI) (0.92 – 3.38)] in Q2, 10.2% (HR 1.88, 95% CI 0.99 – 3.58) in Q3 and 39.6% (HR 8.12, 95% CI 4.65 – 14.17) in Q4. The same trend was consistent in the age- and sex-adjusted, comorbidities-adjusted and covariates-adjusted models. Conclusion Among patients who were implanted ICD secondary to HFrEF, lower PNI value predicted all-cause mortality during long-term follow up. This is the first study demonstrating the value of PNI in this population. Table 1Admission Prognostic Nutritional Index (n = 1100)Q1 (n = 275)Q2 (n = 275)Q3 (n = 275)Q4 (n = 275)Long-term mortalityNumber of deaths142628109Mortality, %5.19.510.239.6Mortality, HR (%95 CI)Model 1: unadjusted1[Reference]1.76 (0.92 - 3.38)1.88 (0.99 - 3.58)8.12 (4.65 - 14.17)Model 2: adjusted for age, sex1[Reference]1.70 (0.90 - 3.48)1.79 (0.94 - 3.42)7.76 (4.42 - 13.61)Model 3: adjusted for comorbiditesa1[Reference]1.85 (0.96 - 3.55)1.89 (0.99 - 3.60)9.02 (4.34 - 14.12)Model 4: adjusted for covariatesb1[Reference]1.66 (0.88 - 3.21)1.60 (0.80 - 3.05)6.45 (3.61 - 12.5)Cox proportional analysis and logistic regression models for the long-term mortality by the prognostic nutritional indexAbstract Figure 1


2009 ◽  
Vol 20 ◽  
pp. S13
Author(s):  
Mario Fernández-Ruiz ◽  
Cilia Rodríguez ◽  
Juan Manuel Guerra-Vales ◽  
Rocío Trincado ◽  
Félix Bermejo-Pareja

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