Risk factors for pulmonary infection in elderly patients with acute stroke: A meta-analysis

You, Qi; Bai, Dingxi; Wu, Chenxi; Wang, Hao; Chen, Xinyu; Gao, Jing; Hou, Chaoming

doi:10.1016/j.heliyon.2022.e11664

Cited by 5 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The baseline NIHSS score is also an important indicator of stroke severity, prediction of neurological deterioration and prognosis, while optimizing the stroke management process and trying to shorten the time to revascularization may save more nerve cells and reduce the occurrence of END [23] . Elderly stroke patients are more likely to have infectious events [24] , which may cause a series of complications that can seriously threaten patients' life. Therefore, clinics should identify and predict the occurrence of infectious events as early as possible, and early warning and focused intervention may reduce the incidence of END.…”

Section: Discussionmentioning

confidence: 99%

Clinical application of HALP score to predict early neurological deterioration in elderly acute cerebral infarction patients

Xie

Liang

et al. 2023

Preprint

View full text Add to dashboard Cite

Background: Early neurological deterioration (END) may be associated with poor prognosis in elderly AIS patients. The objective of this study was to examine the relationship between a composite biomarker HALP score and END, to identify patients at risk for poor neurological function. METHODS: This study retrospectively examined elderly patients with AIS admitted to Nanjing Drum Tower Hospital from January 2016 to December 2021. NIHSS were collected within 7 days of admission. END was defined as a 2 point increase in NIHSS within 7 days.. the formula for HALP score was lymphocytes (/L) ×hemoglobin (g/L) ×albumin (g/L) / platelets (/L). Multivariate logistic regression was used to construct a prediction model for HALP score, ROC curves and calibration graphs were computed. Results: A total of 431 elderly AIS patients were included, with END accounting for 34.34%. Univariate analysis showed that age, baseline NIHSS score, white blood cell count, lymphocyte count, hemoglobin, triglycerides, HALP score, CRP, Hcy, Lp-PLA2, infectious events and death events differed between the two groups (P < 0.05). Multifactorial logistic regression analysis revealed that HALP score (OR 0.965, 95% CI 0.943 to 0.988, P=0.003) and baseline NIHSS score (OR 1.169, 95% CI 1.119 to 1.220, P<0.001) were good at predicting END. The area under the ROC curve for HALP score <27.69 and NIHSS score >5.5 was 0.727 (95CI: 0.676-0.778); 0.868 (95CI: 0.834-0.903), respectively, and the combined AUC was 0.883 (95%CI: 0.850-0.916). Additionally, HALP score was significantly negatively correlated with baseline NIHSS (r=-0.411, P<0.001) and admission day 7 NIHSS (r=-0.348, P<0.001), respectively. More often the lower HALP score, the higher END percentage and the worse 90-day functional outcomes. Conclusion: A low HALP score at admission is associated with the occurrence of END within one week in elderly AIS patients, which may help clinicians to identify high-risk END patients early.

show abstract

Section: Discussionmentioning

confidence: 99%

Clinical application of HALP score to predict early neurological deterioration in elderly acute cerebral infarction patients

Xie

Liang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…CRP and PCT levels, and OASIS were identified as the main risk factors for patients with ischemic stroke complicated by SAP, thus indicating that the onset of SAP is significantly affected by the patient's age, body temperature at admission, CRP and PCT levels, and OASIS. As age increases, organ function and immunity decline, thus making the body vulnerable to invasion by exogenous substances; this could increase the risk of pulmonary infection ( 17 ). However, stroke is often accompanied by an inflammatory response that could lead to an imbalance in the system that regulates body temperature; this may increase body temperature, reduce immunity, and increase the risk of pathogenic infection and invasion of the lungs, thus aggravating the inflammatory response and immune response disorders.…”

Section: Discussionmentioning

confidence: 99%

Predictive value of the Oxford Acute Severity of Illness Score in acute stroke patients with stroke-associated pneumonia

Wang,

Xia,

Shan

et al. 2023

Front. Neurol.

View full text Add to dashboard Cite

BackgroundStroke-associated pneumonia (SAP) is associated with a poor prognosis and a high mortality rate in stroke patients. However, the accuracy of early prediction of SAP is insufficient, and there is a lack of effective prognostic evaluation methods. Therefore, in this study, we investigated the predictive value of the Oxford Acute Severity of Illness Score (OASIS) in SAP to provide a potential reference index for the incidence and prognosis of SAP.MethodsWe recruited a total of 280 patients with acute ischemic stroke who had been diagnosed and treated in the Zhumadian Central Hospital between January 2021 and January 2023. These patients were divided into an SAP group (86 cases) and a non-SAP group (194 cases) according to SAP diagnostic criteria by expert consensus on the diagnosis and treatment of SAP. We collated general and clinical data from all patients, including the survival of SAP patients during the follow-up period. Multivariate logistic regression was used to analyze the risk factors for SAP. Kaplan–Meier and multivariate COX regression analyses were used to investigate the relationship between OASIS and the prognosis of SAP, and a receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of OASIS for SAP.ResultsOur analyses identified body temperature, C-reactive protein, procalcitonin, OASIS, and a prolonged length of intensive care unit (ICU) stay as the main risk factors for SAP (all Ps < 0.05). Advanced age and an elevated OASIS were identified as the main risk factors for death in SAP patients (all Ps < 0.05). The risk of death in patients with OASIS of 31–42 points was significantly higher than that in patients with OASIS of 12–20 points (HR = 5.588, 95% CI = 1.531–20.401, P = 0.009). ROC curve analysis further showed that OASIS had a high predictive value for morbidity and the incidence of death in SAP patients.ConclusionOASIS can effectively predict the onset and death of SAP patients and provides a potential reference index for early diagnosis and the prediction of prognosis in patients with SAP. Our findings should be considered in clinical practice.

show abstract

Risk Factors for Post-Operative Pulmonary Infection in Patients With Brain Tumors: A Systematic Review and Meta-Analysis

Lan,

Wei,

Zhu

et al. 2023

Surgical Infections

View full text Add to dashboard Cite

Risk factors for pulmonary infection in elderly patients with acute stroke: A meta-analysis

Cited by 5 publications

References 17 publications

Clinical application of HALP score to predict early neurological deterioration in elderly acute cerebral infarction patients

Clinical application of HALP score to predict early neurological deterioration in elderly acute cerebral infarction patients

Predictive value of the Oxford Acute Severity of Illness Score in acute stroke patients with stroke-associated pneumonia

Risk Factors for Post-Operative Pulmonary Infection in Patients With Brain Tumors: A Systematic Review and Meta-Analysis

Contact Info

Product

Resources

About