Effects of body habitus on contrast-induced acute kidney injury after percutaneous coronary intervention

Obesity is associated with acute kidney injury in ST-segment-elevation myocardial infarction undergoing percutaneous coronary intervention: A national representative cohort study

BACKGROUND

Acute kidney injury (AKI) is a frequent and potentially life-threatening complication after percutaneous coronary intervention (PCI) in patients with ST-segment-elevation myocardial infarction (STEMI). However, the relationship between obesity and the risk of AKI in this specific patient population has not been previously examined.

METHODS

We queried the National Inpatient Sample (2016-2019) using ICD-10 codes to obtain a sample of adults with STEMI undergoing PCI. All patients were further subcategorized into obese and nonobese cohorts. The primary outcome was the incidence of AKI. Multivariate regression analysis was performed to assess the impact of obesity on AKI. The consistency of this correlation between subgroups was investigated using subgroup analysis and interaction testing.

RESULTS

A total of 62,599 (weighted national estimate of 529,016) patients were identified, of which 9.80% (n = 6137) had AKI. Obesity comprised 19.78% (n = 1214) of the AKI cohort. Obese patients were on average younger, male, white, and had more comorbidities. Additionally, there was a significant positive association between obesity and AKI incidence (adjusted odds ratio [aOR]: 1.24, 95% confidence interval [CI]: 1.15-1.34), which was more pronounced in female patients (aOR: 1.56, 95% CI: 1.33-1.82, p < 0.001, p-interaction = 0.008). The AKI incidence in these patients increased steadily during the 4-year study period, and it was consistently higher in obese patients than in nonobese patients (p-trend < 0.001 for all).

CONCLUSIONS

Obesity was independently associated with a greater risk of AKI among adults with STEMI undergoing PCI, particularly in female patients.

Long-term outcomes of periprocedural coronary dissection and perforation for patients undergoing percutaneous coronary intervention in a Japanese multicenter registry

Long-term outcomes of iatrogenic coronary dissection and perforation in patients undergoing percutaneous coronary intervention (PCI) remains under-investigated. We analyzed 8,721 consecutive patients discharged after PCI between 2008 and 2019 from Keio Cardiovascular (KiCS) PCI multicenter prospective registry in the Tokyo metropolitan area. Significant coronary dissection was defined as persistent contrast medium extravasation or spiral or persistent filling defects with complete distal and impaired flow. The primary outcome was a composite of all-cause death, acute coronary syndrome, heart failure, bleeding, stroke requiring admission, and coronary artery bypass grafting two years after discharge. We used a multivariable Cox hazard regression model to assess the effects of these complications. Among the patients, 68 (0.78%) had significant coronary dissections, and 61 (0.70%) had coronary perforations at the index PCI. Patients with significant coronary dissection had higher rates of the primary endpoint and heart failure than those without (25.0% versus 14.3%, P = 0.02; 10.3% versus 4.2%, P = 0.03); there were no significant differences in the primary outcomes between the patients with and without coronary perforation (i.e., primary outcome: 8.2% versus 14.5%, P = 0.23) at the two-year follow-up. After adjustments, patients with coronary dissection had a significantly higher rate of the primary endpoint than those without (HR 1.70, 95% CI 1.02-2.84; P = 0.04), but there was no significant difference in the primary endpoint between the patients with and without coronary perforation (HR 0.51, 95% CI 0.21-1.23; P = 0.13). For patients undergoing PCI, significant coronary dissection was associated with poor long-term outcomes, including heart failure readmission.

Gender Differences in Long-Term Outcomes of Young Patients Who Underwent Percutaneous Coronary Intervention: Long-Term Outcome Analysis from a Multicenter Registry in Japan

Young patients who underwent percutaneous coronary intervention (PCI) have shown worse long-term outcomes but remain inadequately investigated. We analyzed 1,186 consecutive young patients (aged ≤55 years) from the Keio Cardiovascular PCI registry who were successfully discharged after PCI (2008 to 2019) and compared them to 5,048 older patients (aged 55 to 75 years). The primary outcome was a composite of all-cause death, acute coronary syndrome, heart failure, bleeding, stroke requiring admission, and coronary artery bypass grafting within 2 years after discharge. In the young patients, the mean age was 48.4 ± 5.4 years, acute coronary syndrome cases accounted for 69.6%, and 92 (7.8%) were female. Body mass index; hemoglobin levels; and proportions of smoking, hyperlipidemia, and ST-elevation myocardial infarction were lower and dialysis or active cancer proportions were higher in young female patients than male patients. A higher number of young female than male patients reached the primary end point and all-cause death (15.2% vs 7.1%, p = 0.01; 4.3% vs 1.0%, p = 0.023), mainly because of noncardiac death (4.3% versus 0.5%, p = 0.001). After covariate adjustment, the primary end point rates were higher among young women than men (hazard ratio 2.00, 95% confidence interval 1.03 to 3.89, p = 0.042). Gender did not predict the primary end point among older patients (vs men; hazard ratio 0.84, 95% confidence interval 0.67 to 1.06, p = 0.14). In conclusion, young women showed worse outcomes during the 2-year post-PCI follow-up, but this gender difference was absent in patients aged 55 to 75 years.

Contrast Media Volume to Creatinine Clearance Ratio in Predicting Nephropathy in Patients Undergoing Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis

The studies investigated the predictive value of the contrast media volume to creatinine clearance ratio (V/CrCl) for contrast-induced nephropathy (CIN) after a percutaneous coronary intervention (PCI) showed conflicting results and different cut-off values. The objective is to evaluate V/CrCl in the prediction of CIN after PCI. PubMed, Embase, and the Cochrane library were searched for eligible studies published from inception to November 2020. The optimal cut-off points of V/CrCl for predicting CIN were examined using odds ratios (ORs) and 95% confidence intervals (CIs). The random-effect model was used for analyses. Six studies (8 datasets, 16 899 patients) were included. V/CrCl was associated with CIN (OR = 2.67, 95% CI: 1.88-3.78, P < .001; I² = 79.3%, P_{heterogeneity} < .001). V/CrCl was associated with CIN in Asians (OR = 2.13, 95% CI: 1.52-2.98, P = .022; I² = 68.8%, P_{heterogeneity} < .001) and Europeans (OR = 3.87, 95% CI: 1.77-8.45, P < .001; I² = 85.1%, P_{heterogeneity} = .001). The association between V/CrCl and CIN was observed in the prospective cohort studies (OR = 2.16, 95% CI: 1.42-3.29, P = .009; I² = 78.9%, P_{heterogeneity} < .001) and retrospective cohort studies (OR = 3.31, 95% CI: 1.82-6.02, P < .001; I² = 80.6%, P_{heterogeneity} < .001). The sensitivity analysis showed the results were robust. V/CrCl is independently associated with an increased risk of CIN. V/CrCl could be considered a reliable predictor for the development of CIN in patients undergoing PCI.

Machine learning prediction model of acute kidney injury after percutaneous coronary intervention

Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predicting the preprocedural risk of AKI, although the scoring system requires a number of clinical contents. We sought to examine whether machine learning (ML) techniques could predict AKI with fewer NCDR-AKI risk model variables within a comparable PCI database in Japan. We evaluated 19,222 consecutive patients undergoing PCI between 2008 and 2019 in a Japanese multicenter registry. AKI was defined as an absolute or a relative increase in serum creatinine of 0.3 mg/dL or 50%. The data were split into training (N = 16,644; 2008-2017) and testing datasets (N = 2578; 2017-2019). The area under the curve (AUC) was calculated using the light gradient boosting model (GBM) with selected variables by Lasso and SHapley Additive exPlanations (SHAP) methods among 12 traditional variables, excluding the use of an intra-aortic balloon pump, since its use was considered operator-dependent. The incidence of AKI was 9.4% in the cohort. Lasso and SHAP methods demonstrated that seven variables (age, eGFR, preprocedural hemoglobin, ST-elevation myocardial infarction, non-ST-elevation myocardial infarction/unstable angina, heart failure symptoms, and cardiogenic shock) were pertinent. AUC calculated by the light GBM with seven variables had a performance similar to that of the conventional logistic regression prediction model that included 12 variables (light GBM, AUC [training/testing datasets]: 0.779/0.772; logistic regression, AUC [training/testing datasets]: 0.797/0.755). The AKI risk model after PCI using ML enabled adequate risk quantification with fewer variables. ML techniques may aid in enhancing the international use of validated risk models.

Association between Diabetes Mellitus and Contrast-Associated Acute Kidney Injury: A Systematic Review and Meta-Analysis of 1.1 Million Contrast Exposure Patients

BACKGROUND

Although diabetes mellitus (DM) has been a common risk factor of contrast-associated acute kidney injury (CA-AKI) for a long time, several current studies showed that DM is not an independent risk factor. Due to this diverse finding, we aim to conduct a systematic review assessing the effect of DM on CA-AKI.

METHODS

We searched Ovid Medline, Embase, and Cochrane Database of Systematic Reviews (to June 1, 2020) for studies assessing the association between DM and CA-AKI. Random meta-analysis was performed to derive the pooled estimates of the adjusted odds ratio (OR) and corresponding 95% confidence intervals (CIs).

RESULTS

A total of 84 studies involving 1,136,827 participants were included in this meta-analysis. The presence of DM was associated with an higher risk of CA-AKI (pooled OR: 1.58, 95% CI: 1.48-1.70, I2 = 64%). Furthermore, the predictive effect of elevated CA-AKI for was stronger in the subgroup of DM patients with chronic kidney disease (CKD) (OR: 2.33, 95% CI: 1.21-4.51), while the relationship between DM and CA-AKI was not significant in subgroup patients without CKD (OR: 1.12, 95% CI: 0.73-1.72).

CONCLUSION

This is the first meta-analysis to prove that DM is an independent risk factor of CA-AKI in patients. While the predictive value of DM for CA-AKI in patients with normal kidney function was weakened, more protective treatments are needed in diabetic patients with kidney dysfunction to avoid the occurrence of CA-AKI.

Association of decreasing hemoglobin levels with the incidence of acute kidney injury after percutaneous coronary intervention: a prospective multi-center study

Acute kidney injury (AKI) is common in patients undergoing percutaneous coronary intervention (PCI). One risk factor for AKI is periprocedural hemoglobin drop level (> 3 g/dL); however, whether the relationship between hemoglobin drop and AKI is linear or nonlinear remains unknown. We aimed to investigate the relationship between periprocedural hemoglobin drop and AKI after PCI. We evaluated 14,273 consecutive patients undergoing PCI between September 2008 and March 2019. AKI was defined as an absolute or a relative increase in serum creatinine level of 0.3 mg/dL or 50%, respectively. Restricted cubic spline was constructed to assess the association between hemoglobin drop and AKI by logistic regression and machine learning (ML) models, which were used to predict the risk of AKI. The patients' mean age was 68.4 ± 11.6 years; the AKI incidence was 10.5% (N = 1499). An absolute > 3 g/dL or 20% relative decrease in hemoglobin level was an independent predictor of AKI incidence (odds ratio, OR [95% confidence interval, CI]: 2.24 [1.92-2.61], P < 0.001; 2.35 [2.04-2.71], P < 0.001, respectively). An adjusted restricted cubic spline demonstrated that absolute/relative decrease in hemoglobin was linearly associated with AKI. Logistic and ML models with absolute/relative hemoglobin changes were comparable while estimating the risk of AKI (absolute area under the curve [AUC] (logistic):0.826, AUC (ML): 0.820; relative AUC (logistic): 0.818, AUC (ML): 0.816). An absolute/relative decrease in periprocedural hemoglobin after PCI was linearly associated with AKI. Detection of a relative/absolute decrease in hemoglobin may help clinicians identify individuals as high risk for AKI after PCI.

Impact of Geriatric Nutritional Index in Contrast-Induced Nephropathy Developed in Patients with Non-ST Segment Elevation Myocardial Infarction who Underwent Percutaneous Coronary Intervention

Objective:

Geriatric nutritional risk index (GNRI) is a useful tool to determine the nutritional status of patients. Any study has not evaluated the impact of GNRI in development of contrast- induced nephropathy (CIN) after percutaneous coronary intervention (PCI). We aimed to evaluate whether GNRI could predict CIN after PCI.

Method:

A total of 1116 patients with non-ST elevation myocardial infarction (non-STEMI) that underwent PCI were enrolled to the present study. The GNRI was calculated using a previously reported formula: GNRI=14.89 × albumin (g/dL) + 41.7 × body weight (kg)/ideal body weight (kg). CIN was defined as an increase in serum creatinine level of ≥0.5 mg/dL or ≥25% above baseline within 72 hours after the PCI procedure. The patients were categorized into two groups as CIN (+) and CIN (-).

Results:

The mean age of the CIN (+) group was significantly higher than the CIN (–) group (64.8±10.67 vs. 60.5±10.61 years; p<0.001). The mean values of height, weight, and body mass index were significanlty lower in CIN (+) group than CIN (-) group (p<0.001, for all). The mean of GNRI was significantly lower in the CIN (+) group than the CIN (-) group (101.4±8.7 vs. 112.1±12.9; p<0.001). Serum albumin level was significantly lower in the CIN (+) group (3.71±0.52 g/dL vs. 3.94±0.53 g/dL; p<0.001). Left ventricular ejection fraction (LVEF) was significantly lower in the CIN (+) group (50.7%±9.07 vs. 54.3%±7.20; p<0.001).

Conclusion:

In this study, GNRI, serum albumin level, BMI, and LVEF were independent predictors of CIN. Moreover, GNRI was better than both serum albumin level and BMI in predicting development of CIN.