scholarly journals Estimated plasma volume status (ePVS) is a predictor for acute myocardial infarction in-hospital mortality: analysis based on MIMIC-III database

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jun Chen ◽  
Jiayi Shen ◽  
Dongsheng Cai ◽  
Tiemin Wei ◽  
Renyi Qian ◽  
...  

Abstract Background Estimated plasma volume status (ePVS) has been reported that associated with poor prognosis in heart failure patients. However, no researchinvestigated the association of ePVS and prognosis in patients with acute myocardial infarction (AMI). Therefore, we aimed to determine the association between ePVS and in-hospital mortality in AMI patients. Methods and results We extracted AMI patients data from MIMIC-III database. A generalized additive model and logistic regression model were used to demonstrate the association between ePVS levels and in-hospital mortality in AMI patients. Kaplan–Meier survival analysis was used to pooled the in-hospital mortality between the various group. ROC curve analysis were used to assessed the discrimination of ePVS for predicting in-hospital mortality. 1534 eligible subjects (1004 males and 530 females) with an average age of 67.36 ± 0.36 years old were included in our study finally. 136 patients (73 males and 63 females) died in hospital, with the prevalence of in-hospital mortality was 8.9%. The result of the Kaplan–Meier analysis showed that the high-ePVS group (ePVS ≥ 5.28 mL/g) had significant lower survival possibility in-hospital admission compared with the low-ePVS group (ePVS < 5.28 mL/g). In the unadjusted model, high-level of ePVS was associated with higher OR (1.09; 95% CI 1.06–1.12; P < 0.001) compared with low-level of ePVS. After adjusted the vital signs data, laboratory data, and treatment, high-level of ePVS were also associated with increased OR of in-hospital mortality, 1.06 (95% CI 1.03–1.09; P < 0.001), 1.05 (95% CI 1.01–1.08; P = 0.009), 1.04 (95% CI 1.01–1.07; P = 0.023), respectively. The ROC curve indicated that ePVS has acceptable discrimination for predicting in-hospital mortality. The AUC value was found to be 0.667 (95% CI 0.653–0.681). Conclusion Higher ePVS values, calculated simply from Duarte’s formula (based on hemoglobin/hematocrit) was associated with poor prognosis in AMI patients. EPVS is a predictor for predicting in-hospital mortality of AMI, and could help refine risk stratification.

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Kawai ◽  
D Nakatani ◽  
T Yamada ◽  
T Watanabe ◽  
T Morita ◽  
...  

Abstract Background Diuretics has been reported to have a potential for an activation of the renin-angiotensin-aldosterone system and the sympathetic nervous system, leading to a possibility of poor clinical outcome in patients with cardiovascular disease. However, few data are available on clinical impact of diuretics on long-term outcome in patients with acute myocardial infarction (AMI) based on plasma volume status. Methods To address the issue, a total of 3,416 survived patients with AMI who were registered to a large database of the Osaka Acute Coronary Insufficiency Study (OACIS) were studied. Plasma volume status was assessed with the estimated plasma volume status (ePVS) that was calculated at discharge as follows: actual PV = (1 − hematocrit) × [a + (b × body weight)] (a=1530 in males and a=864 in females, b=41.0 in males and b=47.9 in females); ideal PV = c × body weight (c=39 in males and c=40 in females), and ePVS = [(actual PV − ideal PV)/ideal PV] × 100 (%). Multivariable Cox regression analysis and propensity score matching were performed to account for imbalances in covariates. The endpoint was all-cause of death (ACD) within 5 years. Results During a median follow-up period of 855±656 days, 193 patients had ACD. In whole population, there was no significant difference in long-term mortality risk between patients with and without diuretics in both multivariate cox regression model and propensity score matching population. When patients were divided into 2 groups according to ePVS with a median value of 4.2%, 46 and 147 patients had ACD in groups with low ePVS and high ePVS, respectively. Multivariate Cox analysis showed that use of diuretics was independently associated with an increased risk of ACD in low ePVS group, (HR: 2.63, 95% confidence interval [CI]: 1.22–5.63, p=0.01), but not in high ePVS group (HR: 0.70, 95% CI: 0.44–1.10, p=0.12). These observations were consistent in the propensity-score matched cohorts; the 5-year mortality rate was significantly higher in patients with diuretics than those without among low ePVS group (4.7% vs 1.7%, p=0.041), but not among high ePVS group (8.0% vs 10.3%, p=0.247). Conclusion Prescription of diuretics at discharge was associated with increased risk of 5-year mortality in patients with AMI without PV expansion, but not with PV expansion. The role of diuretics on long-term mortality may differ in plasma volume status. Therefore, prescription of diuretics after AMI may be considered based on plasma volume status. Funding Acknowledgement Type of funding source: None


2018 ◽  
Vol 59 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Yu Horiuchi ◽  
Jiro Aoki ◽  
Kengo Tanabe ◽  
Koichi Nakao ◽  
Yukio Ozaki ◽  
...  

2022 ◽  
Author(s):  
Xingbo Gu ◽  
dandan liu ◽  
ning Hao ◽  
xinyong Sun ◽  
xiaoxu Duan ◽  
...  

Abstract Epidemiological studies have suggested that cold is an important contributor to acute cardiovascular events and mortality. However, little is known about the Diurnal Temperature Range(DTR)impact on mortality of the patients with myocardial infarction.Calcium ions(Ca2+)play a vital role in the human body, such as cardiac electrophysiology and contraction.To investigate whether DTR on admission moderates the association between serum calcium and in-hospital mortality in patients with acute myocardial infarction(AMI). This retrospective study enrolled consecutive adult patients with AMI at a single center in China (2003–2012). Patients were divided into four groups (Ca-Q1–4) according to serum calcium concentration quartiles. Multivariate logistic regression modeling was used to assess whether DTR moderated the association between serum calcium and in-hospital mortality. The predictive value of serum calcium was evaluated by receiver operating characteristic (ROC) curve and net reclassification improvement (NRI) analyses.The study included 3780 patients.In-hospital mortality was 4.97%(188/3780).DTR moderated the association between serum calcium and in-hospital mortality(P-interaction=0.020).Patients with low serum calcium in the highest DTR quartile exhibited an increased risk of in-hospital mortality(odds ratio for Ca-Q4 vs.Ca-Q1, 0.03;95%confidence interval[95%CI], 0.01–0.20;P for trend<0.001).In the highest DTR quartile, adding serum calcium concentration to the risk factor model increased the area under the ROC curve(0.81 vs.0.76;P<0.001)and increased NRI by 20.2%(95%CI 7.5–32.9;P=0.001).Low serum calcium was an independent risk factor for in-hospital mortality in patients with AMI, and this association was moderated by DTR.Careful attention should be paid to patients with low serum calcium who experience a higher DTR on admission.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Kawai ◽  
D Nakatani ◽  
T Yamada ◽  
T Morita ◽  
Y Furukawa ◽  
...  

Abstract Background Plasma volume status (PVS) has been shown to be a well-validated prognostic indicator which relate to morbidity and mortality in heart failure. However, it remains unclear whether PVS would have the prognostic significance in patients with acute myocardial infarction (AMI). Global Registry of Acute Coronary Events (GRACE) risk score is a powerful predictor of prognosis after acute coronary event, but there is no information available on the additional prognostic value of PVS to GRACE in AMI patients. Methods We retrospectively studied 3930 AMI patients. GRACE score and PVS was obtained on the admission. PVS was calculated as follows: actual PV = (1 - hematocrit) × [a + (b × body weight)] (a=1530 in males and a=864 in females, b=41.0 in males and b=47.9 in females); ideal PV = c × body weight (c=39 in males and c=40 in females); and PVS = [(actual PV - ideal PV)/ideal PV] × 100 (%). The endpoint was All cause of death (ACD) within 5 years. Results During a mean follow-up period of 2.4±1.9 years, 406 patients had ACD. PVS was significantly greater in patients with ACD than without ACD (8.1±14.9% vs −1.7±13.3%, p<0.001). Each 5% increase in PVS was linked to a 27% estimated risk of 5-year mortality (p<0.001, HR: 1.05 [1.03–1.08]). PVS was still independently associated with ACD, after adjustment with GRACE score as a potential confounding factor. Kaplan-Meier analysis revealed that patients with PV expansion (PVS>0%) were significantly higher risk of ACD than those without PV expansion in patients both with high risk in GRACE score (>140) (28% (225/803) vs 19% (78/412), p=0.01, HR: 7.5) and with low risk in GRACE score (≤140) (6% (52/894) vs 3% (51/1821), p=0.009, HR: 6.2). Survival rate curves Conclusion PVS, which represents intravascular compartment and congestion, could identify poor prognosis in patients with AMI. In addition, PVS would provide additional prognostic information to GRACE score.


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