Admission rate-pressure product as an early predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage

Zhao, Jingwei; Zhang, Shaolan; Ma, Jiawei; Shi, Guangzhi; Zhou, Jianxin

doi:10.1007/s10143-022-01795-3

Cited by 4 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 35 Also, a study in the Chinese population has shown that the admission DP was an early predictor for in‐hospital mortality in patients with aneurysmal subarachnoid hemorrhage. 36 These studies indicated that DP was associated with poor prognosis in CVD. Due to the limited sample size and insufficient follow‐up time, associations between DP and cardiovascular or cerebrovascular disease were not further discriminated.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Nighttime Double Product in Nondialysis Chronic Kidney Disease With Hypertension

Jiang,

Li,

Peng

et al. 2023

JAHA

View full text Add to dashboard Cite

Background Both nighttime systolic blood pressure and pulse rate are associated with adverse outcomes in patients with chronic kidney disease (CKD). However, nighttime double product (DP), which is the product of nighttime systolic blood pressure and pulse rate, has not yet been investigated in this context. The present study aimed to explore the prognostic value of nighttime DP for adverse outcomes in patients with CKD and hypertension. Methods and Results This retrospective cohort study included a total of 1434 patients with nondialysis CKD complicated by hypertension. The patients were enrolled in Zhuhai and Guangzhou, China, with a median follow‐up of 23.8 months. Patient enrollment for the high or low nighttime DP group was performed on the basis of the cutoff value determined by time‐dependent receiver operator characteristic curve analysis. The primary end point was a composite of major cardiovascular and cerebrovascular events, and the secondary end point was all‐cause death and composite renal end point. The 24‐hour circadian DP rhythm was established via multiple‐component cosinor analysis. Cox regression was used to explore the association between nighttime DP and adverse outcomes. The DP of nondialysis patients with CKD and hypertension showed a diurnal rhythm, which varied with renal function. After adjustment, high nighttime DP was associated with a higher risk for major cardiovascular and cerebrovascular events (hazard ratio [HR], 5.823 [95% CI, 2.382–14.233]), all‐cause death (HR, 4.978 [95% CI, 2.205–11.240]), and composite renal event (HR, 1.661 [95% CI, 1.128–2.447]), compared with low nighttime DP. These associations were independent of nighttime systolic blood pressure and PR. Conclusions The present cohort study demonstrated that DP had diurnal fluctuations and nighttime DP was an important prognostic factor in nondialysis patients with CKD and hypertension, outperforming traditional risk factors, including systolic blood pressure and pulse rate.

show abstract

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Nighttime Double Product in Nondialysis Chronic Kidney Disease With Hypertension

Jiang,

Li,

Peng

et al. 2023

JAHA

View full text Add to dashboard Cite

show abstract

“…Elevated RPP values are often indicative of increased cardiac load and heightened susceptibility to cardiovascular disease. One literature supposed that RPP on admission to be independently associated with in-hospital mortality after aSAH ( 12 ). Individuals with severe traumatic brain injury demonstrate diverse myocardial workload patterns that are closely associated with mortality ( 13 ).…”

Section: Discussionmentioning

confidence: 99%

The rate-pressure product combined model within 24 h on admission predicts the 30-day mortality rate in conservatively treated patients with intracerebral hemorrhage

Zheng,

Tang,

Zhou

et al. 2024

Front. Neurol.

View full text Add to dashboard Cite

Background and objectivesRecently, some literature has proposed new indicators such as rate-pressure product, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, etc. However, there has been no literature that has utilized these new indicators to establish a predictive model for assessing the risk of mortality in patients within 24 h on admission. Therefore, this study aims to build a predictive model that can rapidly assess the likelihood of mortality in patients within 24 h of admission.MethodsThe datasets used in this study are available from the corresponding author upon reasonable request. Patients were randomly assigned to the training or validation cohort based on a ratio of 7:3, which was implemented as internal validations for the final predictive models. In the training set, least absolute shrinkage and selection operator (LASSO) regression was employed to select predictive factors, followed by both univariate and subsequent multivariate analysis. The predictive ability was assessed by the area under the receiver operating characteristic (ROC) curve.ResultsA total of 428 patients were included in our research. The final model included 4 independent predictors (Glasgow Coma Scale, hematoma volume, rate-pressure product, c-reactive protein) and was developed as a simple-to-use nomogram. The training set and internal validation set model’s C-index are 0.933 and 0.954, demonstrating moderate predictive ability with regard to risks of mortality. Compared to ICH score (AUC: 0.910 and 0.925), the net reclassification index (NRI) is 0.298 (CI = −0.105 to 0.701, p: 0.147) and integrated discrimination improvement (IDI) is 0.089 (CI = −0.049 to 0.228, p: 0.209). Our model is equally excellent as the classic ICH score model.ConclusionWe developed a model with four independent risk factors to predict the mortality of ICH patients. Our predictive model is effective in assessing the risk of mortality in patients within 24 h on admission, which might be worth considering in clinical settings after further external validation.

show abstract

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

Gu,

Zhu,

Huang

2024

Journal of Clinical Neuroscience

View full text Add to dashboard Cite

Admission rate-pressure product as an early predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage

Cited by 4 publications

References 36 publications

Prognostic Value of Nighttime Double Product in Nondialysis Chronic Kidney Disease With Hypertension

Prognostic Value of Nighttime Double Product in Nondialysis Chronic Kidney Disease With Hypertension

The rate-pressure product combined model within 24 h on admission predicts the 30-day mortality rate in conservatively treated patients with intracerebral hemorrhage

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

Contact Info

Product

Resources

About