Prognostic value of pre-dialysis blood pressure and risk threshold on clinical outcomes in hemodialysis patients: The Q-Cohort Study

Hemodialysis Procedures for Stable Incident and Prevalent Patients Optimize Hemodynamic Stability, Dialysis Dose, Electrolytes, and Fluid Balance

The demographic profile of patients transitioning from chronic kidney disease to kidney replacement therapy is changing, with a higher prevalence of aging patients with multiple comorbidities such as diabetes mellitus and heart failure. Cardiovascular disease remains the leading cause of mortality in this population, exacerbated by the cardiovascular stress imposed by the HD procedure. The first year after transitioning to hemodialysis is associated with increased risks of hospitalization and mortality, particularly within the first 90-120 days, with greater vulnerability observed among the elderly. Based on data from clinics in Fresenius Medical Care Europe, Middle East, and Africa NephroCare, this review aims to optimize hemodialysis procedures to reduce mortality risk in stable incident and prevalent patients. It addresses critical aspects such as treatment duration, frequency, choice of dialysis membrane, dialysate composition, blood and dialysate flow rates, electrolyte composition, temperature control, target weight management, dialysis adequacy, and additional protocols, with a focus on mitigating prevalent intradialytic complications, particularly intradialytic hypotension prevention.

Different time points, different blood pressures: complexity of blood pressure measurement in hemodialysis patients

OBJECTIVE

We used our established database to investigate predialysis blood pressure (BP) measurements at different time points.

METHODS

Our study period spanned from 1 January 2019 to 31 December 2019. The different time points included: the long interdialytic interval versus the short interdialytic interval; different hemodialysis shifts. Multiple linear regression was used to explore the association between BP measurements and different time points.

RESULTS

A total of 37 081 cases of hemodialysis therapies were included. After a long interdialytic interval, predialysis SBP and DBP were significantly elevated. Predialysis BP was 147.72/86.73 mmHg on Monday and 148.26/86.52 mmHg on Tuesday, respectively. Both predialysis SBP and DBP were higher in the a.m. shift. The mean BP in the a.m. and p.m. shifts were 147.56/87 mmHg and 144.83/84.64 mmHg, respectively. In both diabetic nephropathy and non-diabetic nephropathy patients, higher SBP measurements after a long interdialytic interval were observed; however, in diabetic nephropathy patients, we did not find significant differences in DBP among different dates. In diabetic nephropathy and non-diabetic nephropathy patients, we observed that the effect of different shifts on BP was similar. In Monday, Wednesday and Friday subgroups, the long interdialytic interval was also associated with BP; however, in Tuesday, Thursday and Saturday subgroups, different shifts but not the long interdialytic interval was associated with BP.

CONCLUSION

The long interdialytic interval and different hemodialysis shifts have a significant effect on predialysis BP in patients with hemodialysis. When interpreting BP in patients with hemodialysis, different time points is a confounder.

Construction of an Early Alert System for Intradialytic Hypotension before Initiating Hemodialysis Based on Machine Learning

Introduction

Intradialytic hypotension (IDH) is prevalent and associated with high hospitalization and mortality rates. The purpose of this study was to explore the risk factors for IDH and use artificial intelligence to establish an early alert system before hemodialysis sessions to identify patients at high risk of IDH.

Materials and Methods

We obtained data on 314,534 hemodialysis sessions conducted at Sichuan Provincial People's Hospital from the renal disease treatment information system. IDH was defined as a systolic blood pressure drop ≥20 mm Hg, a mean arterial pressure drop ≥10 mm Hg during dialysis, or the occurrence of clinical hypotensive events requiring nursing intervention. After pre-processing, the data were randomly divided into training (80%) and testing (20%) sets. Four interpolation methods, three feature selection methods, and 18 machine learning algorithms were used to construct predictive models. The area under the receiver operating characteristic curve (AUC) was the main indicator for evaluating the performance of the models, while Shapley Additive ExPlanation was used to explain the contribution of each variable to the best predictive model.

Results

A total of 3,906 patients and 314,534 dialysis sessions were included, of which 142,237 cases showed IDH (incidence rate, 45.2%). Nineteen parameters were identified through artificial intelligence feature screening. They included age, pre-dialysis weight, dry weight, pre-dialysis blood pressure, heart rate, prescribed ultrafiltration, blood cell counts (neutrophil, lymphocyte, monocyte, eosinophil, lymphocyte, and platelet counts), hematocrit, serum calcium, creatinine, urea, glucose, and uric acid. Random forest, gradient boosting, and logistic regression were the three best models, and the AUCs were 0.812 (95% confidence interval [CI], 0.811-0.813), 0.748 (95% CI, 0.747-0.749), and 0.743 (95% CI, 0.742-0.744), respectively.

Conclusion

Our dialysis software-based artificial intelligence alert system can be used to predict IDH occurrence, enabling the initiation of relevant interventions.

Associations of systolic blood pressure and in-hospital mortality in critically ill patients with acute kidney injury

PURPOSE

Although systolic blood pressure (SBP) is associated with acute renal injury (AKI), the relationship between baseline SBP and prognosis in critically ill patients with AKI is unclear. We aimed to assess the linearity and profile of the relationship between SBP at intensive care unit (ICU) admission and in-hospital mortality in these patients.

METHODS

Data of AKI patients in the ICU settings were extracted from the Medical Information Mart for Intensive Care III database. The association between seven SBP categories (< 100, 100-109, 110-119, 120-129, 130-139, 140-149, and ≥ 150 mmHg) and all-cause in-hospital mortality was assessed by Cox proportional hazard models. Restricted cubic spline analysis for the multivariate Cox model was performed to explore the shape of the relationship between SBP and mortality.

RESULTS

A total of 24,202 patients with AKI were included in this study. A typically U-shaped relationship was found between SBP at admission and in-hospital mortality. Among all SBP categories, the lowest risk of death was observed in patients with SBP around 110-119 mmHg, whereas the highest was noted in patients with extremely low SBP (< 100 mmHg), followed by those with extremely high SBP (≥ 150 mmHg). SBP showed a significant interaction with vasopressor use and AKI stage in relation to the risk of in-hospital mortality.

CONCLUSIONS

SBP upon admission showed a non-linear association with all-cause in-hospital mortality in critically ill patients with AKI. Patients with low or high SBP show an increased risk of mortality compared to patients with normal SBP.

Intradialytic systolic blood pressure variation can predict long-term mortality in patients on maintenance hemodialysis

PURPOSE

It is unclear which time-points of intradialytic blood pressure (BP) best predict prognosis. Thus, it is important to assess the association between different time-points of intradialytic BP and prognosis in clinical practice.

METHODS

We recruited patients who underwent hemodialysis from January 2014 to June 2014. Data about dialysis were collected, including intradialytic BP. Cox regression analysis was performed to examine the association between different time-points of intradialytic BP and clinical events, with a follow-up through December 31, 2019. The primary endpoint was all-cause mortality.

RESULTS

A total of 216 patients were recruited and 62 (30.7%) patients died (6.1 per 100-person year) during the follow-up. Intradialytic SBP varied greatly in fatalities. Univariate and multivariate Cox regression models indicated that the adjusted hazard ratio for death was 1.80 and 5.06 when intradialytic systolic blood pressure (SBP) variation was analyzed in increments of 20 mmHg. Furthermore, we divided intradialytic SBP variation into three categories: < 15 mmHg, 15 ~ 30 mmHg,  ≥ 30 mmHg. Kaplan-Meier analysis indicated that both all-cause mortality and cardiovascular mortality increased significantly for patients with intradialytic SBP variation over 30 mmHg (P = 0.006 and 0.021). Univariate and multivariate Cox regression models indicated that the adjusted hazard ratio for death was 3.78 and 12.62 as intradialytic SBP variation ≥ 30 mmHg vs. intradialytic SBP variation < 15 mmHg.

CONCLUSION

Intradialytic SBP variation, rather than BP of specific intradialytic time-points, has the potential to predict long-term mortality in hemodialysis patients. BP stability is crucial for patients' prognosis.

Higher hypertension prevalence, lower incidence, and aggressive treatment with decreasing mortality, cardiovascular, and cerebrovascular incidence in Taiwan from 2005 to 2010: A 2 population-based cohorts study

Hypertension continues to be an important public health concern because of its associated morbidity, mortality, and economic impact on society. The aims of this study are to compare the secular changes in age-stratified hypertension prevalence, incidence, co-morbidity, and 3 years of cardiovascular outcome in Taiwan in the years 2005 and 2010.We enrolled hypertensive individuals from the datasets of the Longitudinal Health Insurance Database (LHID) in 2005 and 2010 in Taiwan separately. We analyzed the hypertension prevalence, incidence, medication treatment, and associated morbidities. The risks of cardiovascular and cerebrovascular events and all-causes mortalities among the hypertensive individuals were evaluated in 3 years of follow-up.There was an increased prevalence of hypertension but decreased incidence of hypertension in those over 65 from 2005 to 2010. Dyslipidemia was the highest rate of co-morbidity in 2005 and 2010. The most frequent categories of anti-hypertensive agents prescribed was 1 or 2 for both 2005 and 2010. Calcium channel blockers were the most common anti-hypertensive agents prescribed, followed by Angiotensin converting enzyme inhibitors/Angiotensin receptor blockers. After 3 years of follow-up, the risks of coronary artery disease (CAD), cerebrovascular diseases (CVD) as well as death were less in 2010 than in 2005 in Taiwan.Our study showed that hypertension individuals had an increased prevalence, younger age, decreased incidence, increased medication treatment associated with decreased the CAD, CVD, and mortalities in 2010 compared to 2005 in Taiwan.

Impact of Multivascular Disease on Cardiovascular Mortality and Morbidity in Patients Receiving Hemodialysis: Ten-Year Outcomes of the Q-Cohort Study

AIM

Multivascular disease, indicating concurrent arteriosclerotic lesions in a number of different vascular beds, is an independent risk factor for recurrent ischemic events in the general population. However, the impact of multivascular disease on the risk of developing cardiovascular disease has not been fully evaluated in patients receiving hemodialysis.

METHODS

A total of 3,504 hemodialysis patients were prospectively followed for 10 years. In this study, multivascular disease was defined as the coexistence of coronary artery disease and stroke. We examined the relationship between multivascular disease and the occurrence of composite cardiovascular endpoint, consisting of cardiovascular death, nonfatal coronary artery disease, nonfatal stroke, and peripheral artery disease.

RESULTS

The proportion of participants with multivascular disease was 5.7% (n=200) at baseline. During follow-up (median, 106.6 months; interquartile range, 50.1-121.8 months), 1,311 patients experienced the composite endpoint, which was defined as at least one of the following: cardiovascular death (n=620), nonfatal coronary artery disease (n=318), nonfatal stroke (n=340), and peripheral artery disease (n=257). Compared with the group with no history of cardiovascular disease, the risk of experiencing the composite endpoint increased significantly with higher numbers of injured vascular beds in patients with single vascular disease (hazard ratio, 1.68; 95% confidence interval, 1.49-1.89) and in those with multivascular disease (hazard ratio, 2.11; 95% confidence interval, 1.71-2.60). In a multivariable analysis, multivascular disease was an independent predictor of cardiovascular events, in addition to diabetes, aging, and hypertension.

CONCLUSIONS

This study clearly demonstrated that multivascular disease was a powerful predictor for cardiovascular mortality and morbidity in patients receiving hemodialysis.