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The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

ABSTRACT: Acute kidney injury (AKI) is an important risk factor for chronic kidney disease, renal replacement therapy (RRT), and mortality. However, predicting AKI with currently available markers remains problematic. We assessed the predictive value of urinary tissue inhibitor of metalloprotease-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) regarding the need for RRT, and 30-day mortality, in elective cardiac surgery patients. In 344 elective cardiac surgery patients, we measured urinary TIMP-2 and IGFBP7 and serum creatinine at baseline and directly after surgery. Discrimination of both urinary biomarkers was assessed by the C-statistic. Model improvement for each biomarker when added to a basic model containing serum creatinine and duration of surgery was tested by the net-reclassification index (cf-NRI) and integrated discrimination index (IDI). At baseline, mean age was 66 years and 67% were men. Of all patients, 22 required RRT following surgery. IGFBP7 pre- and post-surgery and change in TIMP-2 during surgery predicted RRT with a C-statistic of about 0.80. However, a simple model including baseline serum creatinine and duration of surgery had a C-statistic of 0.92, which was improved to 0.93 upon addition of post-surgery TIMP-2 or IGFBP7, with statistically significant cf-NRIs but non-significant IDIs. Post-surgery TIMP-2 and IGFBP predicted 30-day mortality, with C-statistics of 0.74 and 0.80. In conclusion, in elective cardiac surgery patients, pre- and peri-operative clinical variables were highly discriminating about which patients required RRT after surgery. Nonetheless, in elective cardiac surgery patients, urinary TIMP-2 and IGFBP7 improved prediction of RRT and 30-day mortality post-surgery.

SUBMITTER: Esmeijer K

PROVIDER: S-EPMC7806984 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

Esmeijer Kevin K Schoe Abraham A Ruhaak L Renee LR Hoogeveen Ellen K EK Soonawala Darius D Romijn Fred P H T M FPHTM Shirzada Maryam R MR van Dissel Jaap T JT Cobbaert Christa M CM de Fijter Johan W JW

Scientific reports 20210113 1

Acute kidney injury (AKI) is an important risk factor for chronic kidney disease, renal replacement therapy (RRT), and mortality. However, predicting AKI with currently available markers remains problematic. We assessed the predictive value of urinary tissue inhibitor of metalloprotease-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) regarding the need for RRT, and 30-day mortality, in elective cardiac surgery patients. In 344 elective cardiac surgery patients, we measured u ...[more]

PMID: 33441876

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Project description:Background and Objectives: The prevalence and incidence of heart failure (HF) have been increasing in recent years as the population ages. These patients show a distinct profile of comorbidity, which makes their care more complex. In recent years, the PROFUND index, a specific tool for estimating the mortality rate at one year in pluripathology patients, has been developed. The aim of this study was to evaluate the prognostic value of the PROFUND index and of in-hospital and 30-day mortality after discharge of patients admitted for acute heart failure (AHF). Materials and Methods: A prospective multicenter longitudinal study was performed that included patients admitted with AHF and ≥2 comorbid conditions. Clinical, analytical, and prognostic variables were collected. The PROFUND index was collected in all patients and rates of in-hospital and 30-day mortality after discharge were analyzed. A bivariate analysis was performed with quantitative variables between patients who died and those who survived at the 30-day follow-up. A logistic regression analysis was performed with the variables that obtained statistical significance in the bivariate analysis between deceased and surviving subjects. Results: A total of 128 patients were included. Mean age was 80.5 +/- 9.98 years, and women represented 51.6%. The mean PROFUND index was 5.26 +/- 4.5. The mortality rate was 8.6% in-hospital and 20.3% at 30 days. Preserved left ventricular ejection fraction was found in 60.9%. In the sample studied, there were patients with a PROFUND score < 7 predominated (89 patients (70%) versus 39 patients (31%) with a PROFUND score ≥ 7). Thirteen patients (15%) with a PROFUND score < 7 died versus the 13 (33%) with a PROFUND score ≥ 7, p = 0.03. Twelve patients (15%) with a PROFUND score < 7 required readmission versus 12 patients (35%) with a PROFUND score ≥ 7, p = 0.02. The ROC curve of the PROFUND index for in-hospital mortality and 30-day follow-up in patients with AHF showed AUC 0.63, CI: 95% (0.508-0.764), p <0.033. Conclusions: The PROFUND index is a clinical tool that may be useful for predicting short-term mortality in elderly patients with AHF. Further studies with larger simple sizes are required to validate these results.

Project description:BackgroundEffects of the COVID-19 pandemic on rates of early postoperative follow-up after bariatric surgery are poorly understood. Our study characterizes 30-day follow-up after bariatric surgery prior to COVID-19 (years 2015-2019) and during the pandemic of COVID-19 (year 2020) and evaluates general predictive factors of short-term follow-up.MethodsData was extracted from the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) data registry from 2015 to 2020. Cohorts were divided into pre-pandemic and pandemic years and patients with and without 30-day follow-up. Multivariable logistic regression analysis was used to identify general factors independently predictive of 30-day follow-up. The primary aim was to evaluate the impact of the COVID-19 pandemic on short-term 30-day follow-up adherence. A secondary outcome was to characterize general short-term postoperative 30-day follow-up associated with elective bariatric surgery and identify independent predictors of 30-day follow-up among bariatric surgery patients using multivariable logistic regression analysis.ResultsA total of 834,646 patients were identified. Follow-up rates significantly increased in the COVID era in 2020 (p < 0.0001). Patients who achieved 30-day follow-up were older and had an increased burden of medical comorbidities, including non-insulin and insulin-dependent diabetes mellitus, hypertension, dyslipidemia, as well as increased BMI compared to patients lacking follow-up. The cohort with successful 30-day follow-up was more likely to receive gastric bypass and had increased rates of metabolic comorbidities. After adjusting for comorbidities, the greatest independent predictors of follow-up were the 2020 COVID-19 era year, Asian race, black race, and gastroesophageal reflux disease.ConclusionsAfter adjusting for comorbidities, the 2020 COVID-19 era year was one of the greatest predictors of follow-up after bariatric surgery. Postoperative follow-up rates after elective bariatric surgery are excellent at > 95% and increased during the 2020 COVID-19 era year. Several independent predictors of follow-up were identified which may help in development of strategies aimed to mitigate lack of postoperative follow-up.

Dataset Information

The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

Publications

The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

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