Using Electronic Medical Records of Nursing Care to Characterize Constipation in Patients with Intracerebral Hemorrhage

Risk factors for gastrointestinal bleeding in patients with intracerebral hemorrhage: A propensity score matching analysis

BACKGROUND

Gastrointestinal bleeding (GIB) is a common complication of intracerebral hemorrhage (ICH). Rate pressure product (RPP) is an objective hemodynamic index that is closely related to the prognosis of cardia-cerebrovascular disease. The purpose of this study was to investigate the relationship between RPP and GIB in ICH patients.

METHODS

We retrospectively analyzed data from ICH patients admitted to the neurosurgery department of Nanchang University affiliated with Ganzhou Hospital from January 2019 to December 2021. The patients were divided into a GIB group and a non-GIB group according to whether they had GIB. Propensity score matching was used to match between the two groups. Univariate analysis was used to select factors affecting GIB, and multivariate conditional logistic regression was used to analyze the independent factors associated with GIB.

RESULTS

There were 1232 patients included in the study, including 182 in the GIB group and 1050 in the non-GIB group, and 182 pairs of patients were successfully matched through propensity score matching. The univariate analysis showed that high RPP, low Glasgow coma score (GCS), fibrinogen, D-dimer and PPIs were factors associated with GIB. Multivariate conditional logistic regression showed that high RPP, low GCS and urokinase were independent risk factors for GIB, and PPIs was a protective factor for GIB.

CONCLUSIONS

High RPP, low GCS and urokinase were independent risk factors for GIB, and PPIs was a protective factor for GIB. Patients with a high risk of developing GIB should be monitored closely. Nevertheless, multicenter prospective studies with more patients are needed to further validate the results.

Influencing Factors of Constipation in Elderly Patients With Intracerebral Hemorrhage: Implication for Clinical Care

Background: Constipation is common in elderly inpatients with intracerebral hemorrhage. This study aimed to construct a model for predicting the risk of constipation in elderly inpatients with intracerebral hemorrhage and to provide reference for formulating targeted intervention measures. Methods: Elderly patients with intracerebral hemorrhage who were treated in the department of Neurosurgery of a third-class hospital in Suzhou from January 2018 to September 2023 were included. Clinical data of patients with and without constipation were compared. Logistic regression analysis was used to explore the influencing factors of constipation in elderly patients with intracerebral hemorrhage, and R software was used to construct a line chart model to verify its predictive effect. Results: A total of 504 elderly patients with intracerebral hemorrhage were included. The incidence of constipation in elderly patients with cerebral hemorrhage was 63.9%. Logistic regression analysis showed that GCS score (OR = 1.094, 95%CI: 1.019∼1.174), hypertension (OR = 2.911, 95%CI: 1.797∼4.715), use of dehydrating agent (OR = 3.794, 95%CI: 2.337∼6.158), surgical treatment (OR = 3.986, 95%CI: 2.339∼6.793), use of sedative drugs (OR = 4.212, 95%CI:2.386-7.435), and limb paralysis (OR = 6.313, 95%CI:3.689∼10.803) were the independent risk factors for constipation in elderly patients with intracerebral hemorrhage. The area under the ROC curve of the prediction model was 0.872 (95%CI: 0.8401∼0.9033), the best critical value was 0.705, the sensitivity was 0.748, and the specificity was 0.857. Conclusion: The constipation risk prediction model of elderly patients with cerebral hemorrhage has good differentiation and calibration, which is helpful for health care providers to identify the risk of constipation in elderly patients with intracerebral hemorrhage.

Neutrophil-to-Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage

Background

Gastrointestinal bleeding (GIB) is a potential contributing factor for poor prognosis of spontaneous basal ganglia hemorrhage (BGH). This study aimed to investigate the predictive value of new inflammatory biomarkers including neutrophil to lymphocytes (NLR) on admission and construct a nomogram for rapidly predicting GIB in acute BGH.

Methods

The retrospective study included all patients with acute BGH admitted from the emergency department in Huashan Hospital from July 2017 to January 2019. Multivariate analysis was conducted to evaluate the correlation between factors within 24 h and the occurrence of GIB within 7 days after BGH. The receiver operating characteristic (ROC) curve was performed to estimate the prediction ability of inflammatory biomarkers. A nomogram based on significant predictors was validated by ROC curve and calibration curve.

Results

A total of 122 patients were enrolled in this study, and the incidence of GIB was 23.0%. Patients with GIB had larger hematoma volume (≥30 ml), lower Glasgow Coma Scale (GCS) score (≤8) and increased inflammatory biomarkers on admission. ROC curve revealed that NLR had a high predictive value to the complication (area under the curve = 0.87). According to multivariate analysis, NLR, GCS score, and hematoma volume were main factors for nomogram, with good calibration and discrimination.

Conclusions

Neutrophil‐to‐lymphocyte ratio and GCS score within 24 h after the onset of acute BGH are the independent risk factors for GIB. The nomogram developed by these predictors may assist surgeons in rapidly assessing and preventing of GIB for BGH patients in earlier stage.