Risk stratification model for post-stroke pneumonia in patients with acute ischemic stroke

Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke

BACKGROUND

Post-stroke infection is the most common complication of stroke and poses a huge threat to patients. In addition to prolonging the hospitalization time and increasing the medical burden, post-stroke infection also significantly increases the risk of disease and death. Clarifying the risk factors for post-stroke infection in patients with acute ischemic stroke (AIS) is of great significance. It can guide clinical practice to perform corresponding prevention and control work early, minimizing the risk of stroke-related infections and ensuring favorable disease outcomes.

AIM

To explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive model.

METHODS

The clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively collected. Baseline data and post-stroke infection status of all study subjects were assessed, and the risk factors for post-stroke infection in patients with AIS were analyzed.

RESULTS

Totally, 48 patients with AIS developed stroke, with an infection rate of 23.3%. Age, diabetes, disturbance of consciousness, high National Institutes of Health Stroke Scale (NIHSS) score at admission, invasive operation, and chronic obstructive pulmonary disease (COPD) were risk factors for post-stroke infection in patients with AIS (P < 0.05). A nomogram prediction model was constructed with a C-index of 0.891, reflecting the good potential clinical efficacy of the nomogram prediction model. The calibration curve also showed good consistency between the actual observations and nomogram predictions. The area under the receiver operating characteristic curve was 0.891 (95% confidence interval: 0.839-0.942), showing predictive value for post-stroke infection. When the optimal cutoff value was selected, the sensitivity and specificity were 87.5% and 79.7%, respectively.

CONCLUSION

Age, diabetes, disturbance of consciousness, NIHSS score at admission, invasive surgery, and COPD are risk factors for post-stroke infection following AIS. The nomogram prediction model established based on these factors exhibits high discrimination and accuracy.

Effect of comprehensive nursing on the quality of life and swallowing function in individuals diagnosed with ischemic stroke

BACKGROUND

Ischemic stroke (IS) is a widely recognized disease characterized by high prevalence, mortality, morbidity, disability, and recurrence rates. It ranks prominently in terms of mortality, constituting 60%-80% of stroke cases.

AIM

To explore the impact of comprehensive nursing care on the quality of life and swallowing function in individuals diagnosed with IS.

METHODS

This study comprised 172 patients with IS admitted to our hospital between February 2018 to March 2021. The participants were divided into two groups, namely the control group (n = 80) receiving routine care and the research group (n = 92) receiving comprehensive care. Various assessment scales, including the standard swallowing function assessment scale (SSA), National Institutes of Health Stroke scale (NIHSS), European stroke scale (ESS), self-rating anxiety scale (SAS), self-rating depression scale (SDS), Barthel index (BI), and the motor function assessment scale (MAS), were employed to evaluate the improvement in swallowing function, neurological deficits, clinical outcomes, anxiety, depression, daily living activities, and motor function before and after care. Furthermore, the study compared the occurrence of adverse reactions during the nursing period, life quality before and after the intervention, rehabilitation compliance, and nursing satisfaction between the two groups.

RESULTS

After the nursing intervention, the research group exhibited significantly improved SSA and NIHSS scores compared to the control group (P < 0.05). Moreover, both groups demonstrated significant reductions in SAS and SDS scores (P < 0.05), with the research group showing more obvious advantages (P < 0.05). Compared to the control group, the research group displayed significantly better ESS, BI, and MAS scores (P < 0.05), coupled with a lower incidence of adverse reactions (P < 0.05). Additionally, the research group demonstrated markedly higher levels of life quality, rehabilitation compliance, and nursing satisfaction compared to the control group (P < 0.05).

CONCLUSION

Comprehensive nursing effectively improved swallowing function, quality of life, and patient satisfaction, highlighting its clinical significance.

Stroke Phase Is Essential for Pneumonia in Dysphagia Patients After Cerebral Infarction

BACKGROUND

The risk of pneumonia increases after stroke, especially in poststroke dysphagia patients. Propensity score matching (PSM) is a statistical method in SPSS, which can be used to balance the difference between the 2 groups of known factors. Nasogastric tube feeding is an important factor of stroke-associated pneumonia. However, few studies have used PSM to eliminate the effect of confounding factor.

METHODS

Our research was a retrospective case-control study. Retrospective review of the patient database between December 1, 2019, and June 30, 2022, to identify consecutive dysphagia patients after cerebral infarction during hospitalization. An 1:1 PSM in SPSS 25.0 was used to balance nasogastric tube feeding between patients with and without pneumonia. The characteristics of these 2 groups were analyzed. Univariate and binary logistic regression analyses were used to screen the risk factors of dysphagia after cerebral infarction.

RESULTS

After 1:1 PSM, 198 subjects met our criteria and were included in the analysis. Age [odds ratio (OR)=1.047, 95% CI: 1.013-1.081, P =0.006], stroke phase (acute stroke) (OR=5.931, 95% CI: 1.133-31.054, P =0.035), admission National Institutes of Health Stroke Scale score (OR=1.058, 95% CI: 1.004-1.115, P =0.034), and length of hospital stay (OR=1.025, 95% CI: 1.001-1.049, P =0.042) had statistically significant correlation with pneumonia in patients with dysphagia after cerebral infarction.

CONCLUSION

In clinical practice, for the prevention of pneumonia in patients with dysphagia after cerebral infarction, we should pay more attention to admission National Institutes of Health Stroke Scale score, age, and stroke phase, especially in acute cerebral infarction patients.

The application of cluster nursing to prevent bacterial pneumonia in stroke patients in neurology department

The research aims to explore the intervention effect of cluster nursing methods on bacterial pneumonia in stroke patients in neurology. A retrospective analysis is conducted on 120 patients diagnosed with stroke in the hospital from 2020 to 2022, who are diagnosed as stroke patients in the neurology department by doctors. 120 patients are randomly separated into a control group (CG) and a research group (RG) for the experiment, with 60 people in each group. The CG receive normal nursing; The RG adopt cluster nursing methods. Comparison have done in the general information, nursing satisfaction, physical improvement after intervention, and oral hygiene indicators of the 2 groups of patients, and the intervention effect of the 2 nursing methods on patients suffering from bacterial pneumonia is evaluated. When the time reached the 7th day, the nutritional risk screening scores of both groups were (9.53 ± 2.29) and (8.10 ± 2.12), respectively. The serum albumin levels were (36.46 ± 4.80) g/L and (34.16 ± 3.69) g/L, respectively. After simultaneous nursing intervention, there were P < .005 in respiratory rates in the 2nd and 4th months of intervention, as well as after the completion of nursing intervention. The respiratory rates of the RG patients improved toward a larger range of normal respiratory rates, with significant statistical significance (P < .005). As time passed, the number of people with shortness of breath in the CG increased sharply to 46, while those in the RG was only 27, indicating P < .05 between the 2 groups. At the beginning of the 3rd month, the satisfaction rates of the RG and the CG were (92.33 ± 1.17)% and (78.18 ± 1.07)%, respectively, and there was P < .0.05 between the 2 groups of data. The cluster nursing strategy has a significant relieving effect on bacterial pneumonia in stroke patients in the neurology department, which can effectively reduce the probability of pneumonia, improve their physical condition, and enhance their quality of life. It has certain clinical application value.

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

Background

Stroke-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.

Methods

We 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.

Results

Our 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.

Conclusion

OASIS 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.

Procalcitonin as a biomarker of nosocomial pneumonia in aneurysmal subarachnoid hemorrhage patients treated in neuro-ICU

BACKGROUND

Nosocomial pneumonia commonly develops in aneurysmal subarachnoid hemorrhage (aSAH) patients and is associated with poor prognosis of these patients. This study is designed to verify the predictive value of procalcitonin (PCT) on nosocomial pneumonia in aSAH patients.

METHODS

298 aSAH patients received treatments in the neuro-intensive care unit (NICU) of West China hospital were included. Logistic regression was conducted to verify the association between PCT level and nosocomial pneumonia and to construct a model for predicting pneumonia. Area under the receiver operating characteristic curve (AUC) were calculated to evaluate the accuracy of the single PCT and the constructed model.

RESULTS

90 (30.2%) patients developed pneumonia during hospitalizations among included aSAH patients. Pneumonia group had higher procalcitonin level (p < 0.001) than non-pneumonia group. The mortality (p < 0.001), mRS (p < 0.001), length of ICU stay (p < 0.001), length of hospital stay (p < 0.001) were both higher or longer in pneumonia group. Multivariate logistic regression indicated WFNS (p = 0.001), acute hydrocephalus (p = 0.007), WBC (p = 0.021), PCT (p = 0.046) and C-reactive protein (CRP) (p = 0.031) were independently associated with the development of pneumonia in included patients. The AUC value of procalcitonin for predicting nosocomial pneumonia was 0.764. Composed of WFNS, acute hydrocephalus, WBC, PCT and CRP, the predictive model for pneumonia has higher AUC of 0.811.

CONCLUSIONS

PCT is an available and effective predictive marker of nosocomial pneumonia in aSAH patients. Composed of WFNS, acute hydrocephalus, WBC, PCT and CRP, our constructed predictive model is helpful for clinicians to evaluate the risk of nosocomial pneumonia and guide therapeutics in aSAH patients.

Risk factors of mortality and severe disability in the patients with cerebrovascular diseases treated with perioperative mechanical ventilation

BACKGROUND

The prognosis of cerebrovascular diseases treated with mechanical ventilation during perioperative has not been clearly reported.

AIM

To analyze mortality and functional disability and to determine predictors of unfavorable outcome in the patients with cerebrovascular diseases treated with mechanical ventilation.

METHODS

A retrospective follow-up study of 111 cerebrovascular disease patients who underwent mechanical ventilation during the perioperative period in the First Hospital of Jilin University from June 2016 to June 2019 was performed. Main measurements were mortality and functional outcome in-hospital and after 3-month follow-up. According to the modified rankin scale (mRS), the functional outcome was divided into three groups: Good recovery (mRS ≤ 3), severe disability (mRS = 4 or 5) and death (mRS = 6). Univariate analysis was used to compare the differences between three functional outcomes. Multivariate logistic regression analysis was used to for risk factors of mortality and severe disability.

RESULTS

The average age of 111 patients was 56.46 ± 12.53 years, 59 (53.15%) were males. The mortality of in-hospital and 3-month follow-up were 36.9% and 45.0%, respectively. Of 71 discharged patients, 46.47% were seriously disabled and 12.67% died after three months follow-up. Univariate analysis showed that preoperative glasgow coma scale, operation start time and ventilation reasons had statistically significant differences in different functional outcomes. Multiple logistic regression analysis showed that the cause of ventilation was related to the death and poor prognosis of patients with cerebrovascular diseases. Compared with brainstem compression, the risk of death or severe disability of pulmonary disease, status epilepticus, impaired respiratory center function, and shock were 0.096 (95%CI: 0.028-0.328), 0.026 (95%CI: 0.004-0.163), 0.095 (95%CI: 0.013-0.709), 0.095 (95%CI: 0.020-0.444), respectively.

CONCLUSION

The survival rate and prognostic outcomes of patients with cerebrovascular diseases treated with mechanical ventilation during the perioperative period were poor. The reason for mechanical ventilation was a statistically significant predictor for mortality and severe disability.

Dysphagia screening and pneumonia after subarachnoid hemorrhage: Findings from the Chinese stroke center alliance

BACKGROUND AND PURPOSE

Dysphagia is common and is associated with aspiration pneumonia. However, little is known about the prevalence of and factors influencing dysphagia screening (DS) and pneumonia after subarachnoid hemorrhage (SAH).

METHODS

We used data on SAH patients admitted to 1476 hospitals from the China Stroke Center Alliance (CSCA) from August 2015 to July 2019 to analyze the rates of DS and pneumonia. We then conducted univariate and multivariable analyses to examine the relationship between DS and pneumonia.

RESULTS

Among 4877 SAH patients who were eligible for DS and had complete data on pneumonia status, 3527 (72.3%) underwent DS, and 1006 (20.6%) developed pneumonia. Compared with patients without pneumonia, patients with pneumonia were older (mean: 63.4 vs. 57.8 years of age), had lower Glasgow Coma Scale (GCS) scores at admission (mean: 13.5 vs. 14.3), were more likely to have dysphagia (15.2% vs. 3.3%), and were more likely to have undergone aneurysm isolation (19.1% vs. 10.0%). In multivariable analyses, factors independently associated with a higher risk of pneumonia were dysphagia [odds ratio (OR), 3.77; 95% confidence interval (CI), 2.85-4.98], age (OR, 1.50 per 10-year increase; 95% CI, 1.40-1.60), male sex (OR, 1.23; 95% CI, 1.02-1.49), arrival at the hospital by emergency medical services (OR, 1.36; 95% CI, 1.16-1.58), nimodipine treatment (OR, 1.42; 95% CI, 1.11-1.81), endovascular embolization of aneurysms (OR, 1.23; 95% CI, 1.03-1.47), cerebral ventricular shunt placement (OR, 2.24; 95% CI, 1.41-3.54), and treatment at a higher grade hospital (OR, 1.44; 95% CI, 1.21-1.71).

CONCLUSION

More than a quarter of patients with SAH did not have documented DS, while one-fifth developed pneumonia. DS performance was associated with a lower risk of pneumonia. Randomized controlled trials may be needed to determine the effectiveness of DS.

Novel Predictors of Stroke-Associated Pneumonia: A Single Center Analysis

Stroke-associated pneumonia (SAP) is a common cause of disability or death. Although the researches on SAP have been relatively mature, the method that can predict SAP with great accuracy has not yet been determined. It is necessary to discover new predictors to construct a more accurate predictive model for SAP. We continuously collected 2,366 patients with acute ischemic stroke, and then divided them into the SAP group and non-SAP group. Data were recorded at admission. Through univariate analyses and multivariate regression analyses of the data, the new predictive factors and the predictive model of SAP were determined. The receiver operating characteristic (ROC) curve and the corresponding area under the curve (AUC) were used to measure their predictive accuracy. Of the 2,366 patients, 459 were diagnosed with SAP. International normalized ratio (INR) (odds ratio = 37.981; 95% confidence interval, 7.487–192.665; P &lt; 0.001), age and dysphagia were independent risk factors of SAP. However, walking ability within 48 h of admission (WA) (odds ratio = 0.395; 95% confidence interval, 0.287–0.543; P &lt; 0.001) was a protective factor of SAP. Different predictors and the predictive model all could predict SAP (P &lt; 0.001). The predictive power of the model (AUC: 0.851) which included age, homocysteine, INR, history of chronic obstructive pulmonary disease (COPD), dysphagia, and WA was greater than that of age (AUC: 0.738) and INR (AUC: 0.685). Finally, we found that a higher INR and no WA could predict SAP in patients with acute ischemic stroke. In addition, we designed a simple and practical predictive model for SAP, which showed relatively good accuracy. These findings might help identify high-risk patients with SAP and provide a reference for the timely use of preventive antibiotics.

Dysphagia Management and Outcomes in Elderly Stroke Patients with Malnutrition Risk: Results from Chinese Stroke Center Alliance

Purpose

To investigate the effectiveness of dysphagia screening and subsequent swallowing rehabilitation in elderly stroke patients with malnutrition risk.

Patients and Methods

Based on the Chinese Stroke Center Alliance (CSCA) from August 1, 2015 to July 21, 2019, we compared the in-hospital adverse outcomes among stroke patients (including ischemic stroke, intracranial hemorrhage, and subarachnoid hemorrhage) over 70 years old with and without dysphagia screening. The primary outcome was in-hospital all-cause mortality. Secondary outcomes were the composite endpoint of discharge against medical advice (DAMA) or in-hospital death.

Results

Among 365,530 stroke patients ≥ 70 years old with malnutrition risk in the CSCA, documented dysphagia screening was performed for 288,764 (79.0%) participants. Of these, 41,482 (14.37%) patients had dysphagia, and 33,548 (80.87%) patients received swallowing rehabilitation. A total of 1,694 (0.46%) patients experienced in-hospital death. After adjustment for traditional risk factors, dysphagia screening was associated with a low risk of all-cause mortality in stroke patients [adjusted odds ratio (aOR): 0.75, 95% confidence interval (CI):0.65–0.87]. Compared to patients with dysphagia who did not receive swallowing rehabilitation, patients reveiving swallowing rehabilitation had a reduced risk of in-hospital death (aOR:0.39, 95% CI: 0.33–0.46). Additionally, dysphagia screening had a lower risk for the composite endpoint of DAMA or in-hospital death (aOR:0.83,95% CI: 0.80–0.87), as did subsequent swallowing rehabilitation (aOR:0.43,95% CI: 0.40–0.47). Similar results were observed in the sensitivity analysis through inverse probability of treatment weighting, propensity score matching, and excluding patients without National Institutes of Health Stroke Scale scores. A similar association was observed between dysphagia management and adverse clinical outcomes in ischemic stroke and intracranial hemorrhage patients.

Conclusion

Dysphagia screening and swallowing rehabilitation were associated with a reduced risk of in-hospital death and composite outcome of DAMA or in-hospital death for stroke patients with malnutrition risk. Future research should concentrate on improving the quality of medical care for dysphagia management to improve patients’ outcomes.