Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

10.21203/rs.2.17408/v6 ◽

2020 ◽

Author(s):

Kai-Yang Lin ◽

Han-Chuan Chen ◽

Hui Jiang ◽

Sun-Ying Wang ◽

Hong-mei Chen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Creatinine ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Increased Risk ◽

Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

10.21203/rs.2.17408/v7 ◽

2020 ◽

Author(s):

Kai-Yang Lin ◽

Han-Chuan Chen ◽

Hui Jiang ◽

Sun-Ying Wang ◽

Hong-mei Chen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Creatinine ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Increased Risk ◽

Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

10.21203/rs.2.17408/v2 ◽

2019 ◽

Author(s):

Kai-Yang Lin ◽

Han-Chuan Chen ◽

Hui Jiang ◽

Sun-Ying Wang ◽

Hong-mei Chen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Creatinine ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Increased Risk ◽

Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI.Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure.Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005).Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

10.21203/rs.2.17408/v3 ◽

2020 ◽

Author(s):

Kai-Yang Lin ◽

Han-Chuan Chen ◽

Hui Jiang ◽

Sun-Ying Wang ◽

Hong-mei Chen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Creatinine ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Increased Risk ◽

Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI.Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure.Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005).Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

10.21203/rs.2.17408/v4 ◽

2020 ◽

Author(s):

Kai-Yang Lin ◽

Han-Chuan Chen ◽

Hui Jiang ◽

Sun-Ying Wang ◽

Hong-mei Chen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Creatinine ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Increased Risk ◽

Long Term Mortality

Abstract Introduction: DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods: We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results: Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUCDD=0.729 vs AUCMehran=0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95％CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion: Admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

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Association between Serum Ferritin and Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

BioMed Research International ◽

10.1155/2016/5420345 ◽

2016 ◽

Vol 2016 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

Boqian Zhu ◽

Jiantong Hou ◽

Yaoyao Gong ◽

Gaoliang Yan ◽

Qingjie Wang ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Serum Ferritin ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Ferritin Level ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Coronary Syndrome ◽

Increased Risk

Background and Aims. CIN is a major and serious complication following PCI in patients with ACS. It is unclear whether a higher serum ferritin level is associated with an increased risk of CIN in high-risk patients. Thus, we conducted this study to assess the predictive value of SF for the risk of CIN after PCI.Methods. We prospectively examined SF levels in 548 patients with ACS before undergoing PCI. Multivariate logistic regression analysis was used to analyze the independent risk factors for CIN. The ROC analysis was performed to evaluate the predictive value of SF for CIN.Results. CIN occurred in 96 patients. Baseline SF was higher in patients who developed CIN compared to those who did not (257.05±93.98versus211.67±106.65;P<0.001). Multivariate logistic regression analysis showed that SF was an independent predictor of CIN (OR, 1.008; 95% CI, 1.003–1.013;P=0.002). The area under ROC curve for SF was 0.629, and SF > 180.9 μg/L predicted CIN with sensitivity of 80.2% and specificity of 41.4%.Conclusion. Our data show that a higher SF level was significantly associated with an increased risk of CIN after PCI.

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Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

Clinical and Applied Thrombosis/Hemostasis ◽

10.1177/1076029619866909 ◽

2019 ◽

Vol 25 ◽

pp. 107602961986690 ◽

Cited By ~ 1

Author(s):

Yuqing Deng ◽

Zhiqing Chen ◽

Lili Hu ◽

Zhenyan Xu ◽

Jinzhu Hu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Dilated Cardiomyopathy ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Analysis Model ◽

Multivariate Logistic Regression ◽

Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

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Predictive value of serum procalcitonin for both initial and repeated immunoglobulin resistance in Kawasaki disease: a prospective cohort study

Pediatric Rheumatology ◽

10.1186/s12969-019-0379-5 ◽

2019 ◽

Vol 17 (1) ◽

Cited By ~ 2

Author(s):

Shuran Shao ◽

Chunyan Luo ◽

Kaiyu Zhou ◽

Yimin Hua ◽

Mei Wu ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Kawasaki Disease ◽

Logistic Regression Analysis ◽

Predictive Value ◽

Laboratory Data ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Ivig Resistance ◽

Resistance Prediction

Abstract Background Intravenous immunoglobulin (IVIG) resistance prediction is one pivotal topic of interests in Kawasaki disease (KD) since those patients with KD resistant to IVIG might improve of an early-intensified therapy. Data regarding predictive value of procalcitonin (PCT) for IVIG resistance, particularly for repeated IVIG resistance in KD was limited. This study aimed to testify the predictive validity of PCT for both initial and repeated IVIG resistance in KD. Methods A total of 530 KD patients were prospectively recruited between January 2015 and March 2019. The clinical and laboratory data were compared between IVIG-responsive and IVIG-resistant groups. Multivariate logistic regression analysis was applied to determine the association between PCT and IVIG resistance. Receiver operating characteristic (ROC) curves analysis was further performed to assess the validity of PCT in predicting both initial and repeated IVIG resistance. Results The serum PCT level was significantly higher in initial IVIG-resistance group compared with IVIG-response group (p = 0.009), as well as between repeated IVIG responders and nonresponders (p = 0.017). The best PCT cutoff value for initial and repeated IVIG resistance prediction was 1.48 ng/ml and 2.88 ng/ml, respectively. The corresponding sensitivity was 53.9 and 51.4%, while the specificity were 71.8 and 73.2%, respectively. Multivariate logistic regression analysis failed to identify serum PCT level as an independent predictive factor for both initial and repeated IVIG resistance in KD. Conclusions Serum PCT levels were significantly higher in IVIG nonresponders, but PCT may not be suitable as a single marker to accurately predict both initial and repeated IVIG resistance in KD.

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Association of Mannose Binding Lectin (MBL-2) Deficiency with Pulmonary Infection after Allogeneic Hematopoietic Stem Cell Transplantation (HSCT).

Blood ◽

10.1182/blood.v112.11.2209.2209 ◽

2008 ◽

Vol 112 (11) ◽

pp. 2209-2209

Author(s):

Dick Chung ◽

Lily Ding ◽

Isabelle Amigues ◽

Katuna Kadeishvili ◽

Theresa Lo ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Stem Cell ◽

Logistic Regression Analysis ◽

Pulmonary Infection ◽

Multivariate Logistic Regression Analysis ◽

Wild Type ◽

Multivariate Logistic Regression ◽

Increased Risk ◽

The Relationship

Abstract Background: Low MBL2 concentration and MBL2 genotype variants have been associated with an increased risk of infection in various clinical settings. Pulmonary infection is a major complication of HSCT. We examined the relationship of MBL genotypes with post-engraftment bacterial (B-PNA) and fungal (F-PNA) pneumonia Methods: Retrospective review of 236 non-consecutive, non-selected patients who underwent HSCT at MSKCC from 1/1/2000–4/30/2007. Microbiologically confirmed infections and pneumonias were recorded. Antifungal prophylaxis consisted of fluconazole 400 mg daily. Patients at high risk for mold infection received mold-active prophylaxis. After 1/1/2006 voriconazole was the first line anti-mold prophylaxis. Genotype was determined by PR-Melting Curve Analysis on blood or buccal swab specimens. MBL genotype was classified as wild-type: A/A (MBL-sufficient, MBL-S) or variant-type: A/O, O/O (MBL deficient, MBL-D). Patients were followed for up to 2 years. Statistical analysis: Fisher’s Exact test was used to compare the incidence rate between MBL-S and MBL-D patients. Multivariate logistical regression models were used to investigate the relationship between bacterial or fungal pneumonia and MBL genotype, matched related donor (MRD), myeloablative conditioning (MC) peripheral blood as stem cell source (PBSC), acute GVHD grade 2–4 (aGVHD). The results from Maximum Likelihood Estimates were summarized. Results: Transplant characteristics: 80% MC, 76% PBSC, 48.6% MRD. Incidence of aGVHD: 22.4%. MBL genotypes: One-hundred and forty-two (60%) patients were homozygous for wild-type MBL2 (AA), 85(36%) were heterozygous (A/0) and 9 (3.8%) were homozygous for variant genotypes (OO). Transplant characteristics, rates of GVHD, relapse-free and overall survival were similar between MBL-D and MBL-S. There was higher incidence of overall bacterial infections in MBL-D compared to MBL-S pts (47.87% vs 36.62%, p=0.1049). MBL-D had a higher incidence of B-PNA (12.7% vs 4.9%, p=0.048). In multivariate logistic regression analysis, MBL-D(p=0.04) and aGVHD(p=0.06) were likely associated with B-PNA. Rates of overall fungal infections and F-PNA were similar [among MBL-D and MBL-S pts (12.77% vs 9.86%, p=0.5277) and (8.51% vs 7.75%, p=0.1049) respectively]. In multivariate logistic regression analysis only aGVHD was statistically significantly associated with F-PNA p=0.0002. Conclusions: 1) MBL-D genotype was likely associated with increased risk of bacterial pneumonia. 2) MBL-D and aGVHD were risk factors for B-PNA. 3) Further analyses are in progress to evaluate the effect of MBL-D on fungal pneumonia in patients who received mold prophylaxis versus patients who did not receive mold prophylaxis. 4) Prospective studies are needed to assess the relative contribution of MBL-D genotype on the risk of pulmonary infection in HSCT.

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