scholarly journals Neutrophil Percentage to Albumin Ratio Was Associated with Clinical Outcomes in Coronary Care Unit Patients

2021 ◽  
Author(s):  
Chenghui Cai ◽  
Tienan Sun ◽  
Fang Zhao ◽  
Jun Ma ◽  
Xin Pei ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Roc Curves ◽  
Albumin Ratio ◽  
Cumulative Survival ◽  
Kaplan Meier ◽  
Neutrophil Percentage ◽  
Coronary Care

Abstract Background: Neutrophil percentage to albumin ratio (NPAR) was proved to be correlated with the prognosis of a variety of diseases. The purpose of this study was to explore the effect of NPAR on the prognosis of coronary care unit (CCU) dpatients.Method: All data of this study was extracted from Medical Information Mart for Intensive Care III (MIMIC-III, version1.4) database. All patients were divided into four groups according to NPAR quartiles. Primary outcome was in-hospital mortality and secondary outcomes were 30-day mortality, 365-day mortality, length of CCU stay, length of hospital stay, acute kidney injury, renal replacement therapy. Multivariable binary logistic regression analysis was performed to confirm the independent effect of NPAR. Subgroup analysis was used to determine the effect of NPAR on in-hospital mortality in different subgroups. Receiver-operating characteristic (ROC) curves were applied to evaluate the ability of NPAR to predict in-hospital mortality. Kaplan–Meier curves were built to compare cumulative survival of different groups.Result: 2364 CCU patients were enrolled in this study. In-hospital mortality rate increased significantly as NPAR quartiles increased (P < 0.001). In multivariable logistic regression, NPAR was proved to be independently associated with in-hospital mortality (Quartile 4 vs Quartile 1: OR, 95% CI: 1.80, 1.19-2.72, P=0.005, P for trend = 0.001). Moderate ability of NPAR to predict in-hospital mortality was demonstrated through ROC curves, the AUC of NPAR was 0.653 (P<0.001), which is better than PLR (P<0.001), neutrophil (P<0.001) but lower than SOFA(P=0.046) and SAPS II (P<0.001). Subgroup analysis did not find obvious interaction in most subgroups. Moreover, Kaplan-Meier curves showed that as NPAR quartiles increased, 30-day (Log rank, P<0.001) and 365-day (Log rank, P<0.001) cumulative survival decreased significantly. NPAR was also proved to be independently associated with acute kidney injury (Quartile 4 vs Quartile 1: OR, 95% CI: 1.57, 1.19-2.07, P=0.002, P for trend = 0.001). Length of CCU and hospital stay were prolonged significantly in higher NPAR quartiles.Conclusion: NPAR was an independent risk factor of in-hospital mortality in CCU patients and had a moderate ability to predict in-hospital mortality.

scholarly journals Anion Gap Was Associated with Inhospital Mortality and Adverse Clinical Outcomes of Coronary Care Unit Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Tienan Sun ◽  
Chenghui Cai ◽  
Hua Shen ◽  
Jiaqi Yang ◽  
Qianyun Guo ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Clinical Outcomes ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Anion Gap ◽  
Independent Effect ◽  
Binary Logistic Regression Analysis ◽  
Inhospital Mortality ◽  
All Cause Mortality ◽  
Coronary Care

Background. Anion gap (AG) has been proved to be associated with prognosis of many cardiovascular diseases. This study is aimed at exploring the association of AG with inhospital all-cause mortality and adverse clinical outcomes in coronary care unit (CCU) patients. Method. All data of this study was extracted from Medical Information Mart for Intensive Care III (MIMIC-III, version 1.4) database. All patients were divided into four groups according to AG quartiles. Primary outcome was inhospital all-cause mortality. Lowess smoothing curve was drawn to describe the overall trend of inhospital mortality. Binary logistic regression analysis was performed to determine the independent effect of AG on inhospital mortality. Result. A total of 3593 patients were enrolled in this study. In unadjusted model, as AG quartiles increased, inhospital mortality increased significantly, OR increased stepwise from quartile 2 (OR, 95% CI: 1.01, 0.74-1.38, P=0.958) to quartile 4 (OR, 95% CI: 2.72, 2.08-3.55, P<0.001). After adjusting for possible confounding variables, this association was attenuated, but still remained statistically significant (quartile 1 vs. quartile 4: OR, 95% CI: 1.02, 0.72-1.45 vs. 1.49, 1.07-2.09, P=0.019). Moreover, CCU mortality (P<0.001) and rate of acute kidney injury (P<0.001) were proved to be higher in the highest AG quartiles. Length of CCU (P<0.001) and hospital stay (P<0.001) prolonged significantly in higher AG quartiles. Maximum sequential organ failure assessment score (SOFA) (P<0.001) and simplified acute physiology score II (SAPSII) (P<0.001) increased significantly as AG quartiles increased. Moderate predictive ability of AG on inhospital (AUC: 0.6291), CCU mortality (AUC: 0.6355), and acute kidney injury (AUC: 0.6096) was confirmed. The interactions were proved to be significant in hypercholesterolemia, congestive heart failure, chronic lung disease, respiratory failure, oral anticoagulants, Beta-blocks, angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB), and vasopressin treatment subgroups. Conclusion. AG was an independent risk factor of inhospital all-cause mortality and was associated with adverse clinical outcomes in CCU patients.

scholarly journals Acute Kidney Injury Biomarkers for Patients in a Coronary Care Unit: A Prospective Cohort Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e32328 ◽  
Author(s):  
Tien-Hsing Chen ◽  
Chih-Hsiang Chang ◽  
Chan-Yu Lin ◽  
Chang-Chyi Jenq ◽  
Ming-Yang Chang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Coronary Care

Procalcitonin and N-Terminal Pro-B-Type Natriuretic Peptide for Prognosis in Septic Acute Kidney Injury Patients Receiving Renal Replacement Therapy

2019 ◽  
Vol 48 (3) ◽  
pp. 262-271 ◽  
Author(s):  
Xiaohua Sheng ◽  
Jingye Yang ◽  
Gang Yu ◽  
Yang Fei ◽  
Hongda Bao ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Hospital Mortality ◽  
Replacement Therapy ◽  
Natriuretic Peptide ◽  
Kidney Injury ◽  
University Hospital ◽  
Kaplan Meier ◽  
Septic Acute Kidney Injury ◽  
Significant Difference

Background: Sepsis is a complex clinical syndrome leading to severe sepsis and septic shock. It is very common in the intensive care unit with high mortality. Thus, judging its prognosis is extremely important. Procalcitonin (PCT) and ­N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels are commonly elevated in sepsis patients, but only a few are discussed in the septic acute kidney injury patients (AKI) who received renal replacement therapy (RRT). Our study is aimed at investigating the prognostic value of PCT and NT-proBNP in septic AKI patients who received RRT. Methods: This was a retrospective study of septic AKI patients who underwent RRT in a Chinese university hospital. All enrolled patients tested PCT and NT-proBNP at RRT initiation. PCT and NT-proBNP levels were compared between the survivors and non-survivors. Receiver operating characteristic (ROC) curves of the 2 biomarkers were performed for predicting in-hospital mortality. According to the median value of PCT (16.2 ng/mL) and NT-proBNP (10,271 pg/mL), patients were divided into 4 groups (low PCT and low NT-proBNP; high PCT and low NT-proBNP; low PCT and high NT-proBNP; high PCT and high NT-proBNP). The Kaplan-Meier survival curves were used to analyze the 28-day survival rate in the 4 groups. Results: A total of 81 patients were enrolled in the study. Of which, 48 (59.3%) patients died during hospitalization. The median of NT-proBNP in non-survivors was significantly higher than in survivors (p = 0.001), while PCT had no significant difference (p = 0.412). The area under the ROC curve of PCT and NT-proBNP for predicting in-hospital mortality was 0.561 (95% CI 0.426–0.695) and 0.729 (95% CI 0.604–0.854). Kaplan-Meier survival curve analysis showed that increased NT-proBNP level was associated with 28-day mortality while combined with PCT there was no statistical difference in 4 different level groups. Conclusion: NT-proBNP has a certain predictive value for the prognosis in septic AKI patients who received RRT. It seems that the initial PCT value for prognosis is limited. The combination of PCT and ­NT-proBNP to evaluate the prognosis in these critically ill patients is currently unclear.

scholarly journals Duration of Acute Kidney Injury and in-hospital Mortality in Elder Patients With Severe COVID-19: a Retrospective Cohort Study

2021 ◽  
Author(s):  
Yue Cai ◽  
Qinglin Li ◽  
Shanshan Guo ◽  
Yanyan Chen ◽  
Fang Wang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Kidney Injury ◽  
Final Analysis ◽  
Prognostic Impact ◽  
Cox Regression Analysis ◽  
Elder Patients ◽  
Kaplan Meier ◽  
Transient Aki

Abstract Background Patients with severe coronavirus disease 2019 (COVID-19) who develop acute kidney injury (AKI) in the intensive care unit (ICU) have extremely high rates of mortality. This study evaluated the prognostic impact of AKI duration on in-hospital mortality in elder patients.Methods We performed a retrospective study of 126 patients with confirmed COVID-19 with severe or critical disease who treated in the ICU from February 4, 2020, to April 16, 2020. AKI was defined according to the Kidney Disease Improving Global Outcomes serum creatinine (Scr) criteria. AKI patients were divided into transient AKI and persistent AKI groups based on whether Scr level returned to baseline within 48 h post-AKI.Results In total, 107 patients were included in the final analysis. The mean age was 70 (64–78) years, and 69 (64.5%) patients were men. AKI occurred in 48 (44.9%) during their ICU stay. Of these, 11 (22.9%) had transient AKI, 37 (77.9%) had persistent AKI. In-hospital mortality was 18.6% (n =11) for patients without AKI, 72.7% (n=8) for patients with transient AKI, and 86.5% (n=32) for patients with persistent AKI (P<0.001). Kaplan–Meier curve analysis revealed that patients with both transient AKI and persistent AKI had significantly higher death rates than those without AKI (log-rank P<0.001). Multivariate Cox regression analysis revealed that transient and persistent AKI were an important risk factor for in-hospital mortality in older patients with severe COVID-19 even after adjustment for variables (hazard ratio [HR]=2.582; 95% CI: 1.025–6.505; P=0.044; and HR=6.974; 95% CI: 3.334–14.588; P<0.001).Conclusions AKI duration is a useful parameter to predict of worse clinical outcomes in elder patients with COVID-19 in the ICU. Among AKI patients, those persistent AKI have a lower in-hospital survival rate than those transient AKI, emphasizing the importance of identifying an appropriate treatment window for early intervention.

scholarly journals 070 ACUTE KIDNEY INJURY IN CORONARY CARE UNIT: PREVALENCE, AETIOLOGIES AND OUTCOMES

2017 ◽  
Vol 2 (4) ◽  
pp. S34
Author(s):  
M.H. Tan ◽  
S.K. Glendon Lau ◽  
W.H. Han ◽  
N.T. Ross ◽  
R. Visvanathan ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Coronary Care

scholarly journals Severe acute kidney injury in COVID-19 patients is associated with in-hospital mortality

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243528
Author(s):  
Jin Hyuk Paek ◽  
Yaerim Kim ◽  
Woo Yeong Park ◽  
Kyubok Jin ◽  
Miri Hyun ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Multivariable Analysis ◽  
Kidney Injury ◽  
Hospital Death ◽  
Kaplan Meier ◽  
Kdigo Guidelines ◽  
Independent Risk Factors ◽  
Elevated Creatinine ◽  
Stage 1

Although the lungs are major targets for COVID-19 invasion, other organs—such as the kidneys—are also affected. However, the renal complications of COVID-19 are not yet well explored. This study aimed to identify the incidence of acute kidney injury (AKI) in patients with COVID-19 and to evaluate its impact on patient outcomes. This retrospective study included 704 patients with COVID-19 who were hospitalized at two hospitals in Daegu, Korea from February 19 to March 31, 2020. AKI was defined according to the serum creatinine criteria in the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. The final date of follow-up was May 1, 2020. Of the 704 patients, 28 (4.0%) developed AKI. Of the 28 patients with AKI, 15 (53.6%) were found to have AKI stage 1, 3 (10.7%) had AKI stage 2, and 10 (35.7%) had AKI stage 3. Among these patients, 12 (42.9%) recovered from AKI. In the patients with AKI, the rates of admission to intensive care unit (ICU), administration of mechanical ventilator (MV), and in-hospital mortality were significantly higher than in patients without AKI. Multivariable analysis revealed that old age (Hazard ratio [HR] = 4.668, 95% confidence interval [CI] = 1.250–17.430, p = 0.022), high neutrophil-to-lymphocyte ratio (HR = 1.167, 95% CI = 1.078–1.264, p < 0.001), elevated creatinine kinase (HR = 1.002, 95% CI = 1.001–1.004, p = 0.007), and severe AKI (HR = 12.199, 95% CI = 4.235–35.141, p < 0.001) were independent risk factors for in-hospital mortality. The Kaplan-Meier curves showed that the cumulative survival rate was lowest in the AKI stage 3 group (p < 0.001). In conclusion, the incidence of AKI in patients with COVID-19 was 4.0%. Severe AKI was associated with in-hospital death.

scholarly journals The Neutrophil Percentage-to-Albumin Ratio Is Associated with All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Benji Wang ◽  
Diwen Li ◽  
Bihuan Cheng ◽  
Binyu Ying ◽  
Yuqiang Gong
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Proportional Hazards ◽  
Kidney Injury ◽  
Cox Proportional Hazards ◽  
Albumin Ratio ◽  
Neutrophil Percentage ◽  
Increased Risk ◽  
All Cause Mortality

Background. There is no evidence to suggest the predictive power of neutrophil percentage-to-albumin ratio (NPAR) in patients with acute kidney injury (AKI). We hypothesized that NPAR would correlate with all-cause mortality in critically ill patients with AKI. Methods. From the MIMIC-III V1.4 database, we extracted demographics, vital signs, comorbidities, laboratory tests, and other clinical data. The clinical endpoints were 30-, 90- and 365-day all-cause mortality in critically ill patients with AKI. Cox proportional hazards models were used to evaluate the prognostic values of NPAR, and subgroup analyses were performed to measure mortality across various subgroups. Results. A total of 7,481 eligible subjects were enrolled. In multivariate analysis, after adjustments for age, ethnicity, gender, and other confounding factors, higher NPARs were associated with an increased risk of 30-, 90- and 365-day all-cause mortality in critically ill patients with AKI (tertile 3 versus tertile 1: adjusted HR, 95% CI: 1.48, 1.30–1.69; 1.47, 1.31–1.66; 1.46, 1.32–1.62, respectively; P trend <0.01). A similar trend was observed in the NPAR group division by quintiles. Subgroup analysis revealed no significant interactions in most strata. Conclusions. Increased NPAR correlates with increased risk of all-cause mortality in critically ill patients with AKI.

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