Low, rather than High, Body Mass Index Is a Risk Factor for Acute Kidney Injury in Multiethnic Asian Patients: A Retrospective Observational Study

Prevalence of kidney disease in patients with different types of cancer or hematological malignancies: a cross-sectional study

PURPOSE

This study investigated the prevalence and risk factors of acute kidney injury (AKI) and chronic kidney disease (CKD) in cancer patients with the aim of providing guidance for clinical treatment of cancer patients.

METHODS

A retrospective study was conducted on all cancer and hematological malignancy patients admitted to Xuanwu Hospital, Capital Medical University, from January 2018 to July 2023. The study population included patients aged 18-80 years with a confirmed cancer or malignancy diagnosis. Chi-square tests, Spearman's correlation, and logistic regression were used to evaluate the relationships between demographic factors, comorbidities, cancer types, antitumor drugs and the prevalence of AKI/CKD.

RESULTS

Among the 2438 participants, the prevalence rates of AKI and CKD were 3.69% and 7.88%, respectively. Patients with diabetes had higher prevalence of AKI/CKD than those without diabetes (OR = 1.66, 95% CI 1.01-2.68, p = 0.040; OR = 1.60, 95% CI 1.10-2.31, p = 0.012, respectively). In addition, a higher prevalence of CKD was observed in patients with hypertension (OR = 3.49, 95% CI 2.43-5.06, p < 0.001). Underweight patients were more likely to develop AKI (OR = 2.66, 95% CI 1.03-6.08, p = 0.029). Anthracyclines may contribute to a higher risk of AKI, and antimetabolites and immunomodulators may be associated with the development of CKD. Overall, patients with hematological malignancies had significantly higher rates of AKI/CKD than those with solid tumors. Among solid tumor patients, the prevalence of AKI/CKD was low in patients with lung and breast cancer.

CONCLUSIONS

AKI and CKD prevalence varies across cancer types, influenced by factors, such as diabetes, hypertension, body weight, and antitumor drugs. Tailored treatment plans are essential for improving cancer patient outcomes.

Acute Kidney Injury after Bone Marrow Transplantation in Patients with Lymphomas and Leukemias

Introduction: Hematologic malignancies, including lymphomas and leukemias, may be treated with autologous or allogeneic bone marrow transplantation. However, these approaches can increase the risk of infection, sepsis, graft-versus-host disease, and nephrotoxicity, possibly resulting in acute kidney injury (AKI). Objective: To evaluate AKI in patients with lymphomas or leukemia submitted to bone marrow transplantation (BMT). Method: Retrospective, observational cohort study of cases from a database of 256 patients (53.9% males) hospitalized for BMT between 2012 and 2014 at a cancer hospital in Sao Paulo, Brazil. Of these, 79 were selected randomly for analysis. Demographic data, length of hospitalization, and associated morbidities were recorded. AKI was identified according to Kidney Diseases Improving Global Outcomes (KDIGO) criteria. Results: The most frequent diagnoses for the 79 cases were non-Hodgkin’s lymphoma (30.4%), acute myeloid leukemia (26.6%), and Hodgkin’s lymphoma (24.1%). The probability of 100 days-survival after BMT was 81%, and three years after BMT was 61%. In-hospital mortality was significantly higher among patients who presented AKI during hospitalization (p<0.001). However, there was no difference in overall life expectancy (p=0.770). Conclusion: A significant prevalence of AKI was found in patients with leukemia or lymphoma while they were hospitalized for BMT, resulting in significantly increased rates of in-hospital mortality. The presence of AKI during hospitalization was not associated with a subsequent reduction in life expectancy.

Association of Body Mass Index and Acute Kidney Injury Incidence and Outcome: A Systematic Review and Meta-Analysis

This study aims to provide pooled estimates for the incidence of acute kidney injury (AKI) in overweight, obese, and normal body mass index (BMI) patients, and to assess impact of BMI on mortality and chronic kidney disease (CKD) rates. We conducted literature search using online databases to analyze outcomes of BMI. This meta-analysis included 22 studies. Compared to normal BMI, underweight, overweight, or obese patients had higher risk of having AKI. Underweight individuals had 17% lower CKD risk (relative risk [RR]: 0.83, 95% confidence interval [CI]: 0.75, 0.90) while patients that were overweight (RR: 1.15, 95% CI: 1.08, 1.22) and obese (RR: 1.21, 95% CI: 1.10, 1.33) had higher risk of having CKD. Lower than normal BMI was associated with higher mortality risk (RR: 1.58, 95% CI: 1.35, 1.85), while being overweight or obese correlated with the decreased risk of mortality. An increased risk of AKI combined with an increased risk of mortality calls for renal protective strategies in subjects who are underweight at the time of hospital admission.

Risk factors for acute kidney injury after Stanford type A aortic dissection repair surgery: a systematic review and meta-analysis

Background: Risk factors for acute kidney injury (AKI) after Stanford type A aortic dissection (TAAD) repair are inconsistent in different studies. This meta-analysis systematically analyzed the risk factors so as to early identify the therapeutic targets for preventing AKI.

Methods: Studies exploring risk factors for AKI after TAAD repair were searched from four databases from inception to June 2022. The synthesized incidence and risk factors of AKI and its impact on mortality were calculated.

Results: Twenty studies comprising 8223 patients were included. The synthesized incidence of postoperative AKI was 50.7%. Risk factors for AKI included cardiopulmonary bypass (CPB) time >180 min [odds ratio (OR), 4.89, 95% confidence interval (CI), 2.06–11.61, I² = 0%], prolonged operative time (>7 h) (OR, 2.73, 95% CI, 1.95–3.82, I² = 0), advanced age (per 10 years) (OR, 1.34, 95% CI, 1.21–1.49, I² = 0], increased packed red blood cells (pRBCs) transfusion perioperatively (OR, 1.09, 95% CI, 1.07–1.11, I² = 42%), elevated body mass index (per 5 kg/m²) (OR, 1.23, 95% CI, 1.18–1.28, I² = 42%) and preoperative kidney injury (OR, 3.61, 95% CI, 2.48–5.28, I² = 45%). All results were meta-analyzed using fixed-effects model finally (p < 0.01). The in-hospital or 30-day mortality was higher in patients with postoperative AKI than in that without AKI [risk ratio (RR), 3.12, 95% CI, 2.54–3.85, p < 0.01].

Conclusions: AKI after TAAD repair increased the in-hospital or 30-day mortality. Reducing CPB time and pRBCs transfusion, especially in elderly or heavier weight patients, or patients with preoperative kidney injury were important to prevent AKI after TAAD repair surgery.

Risk Scoring System for Vancomycin-Associated Acute Kidney Injury

Vancomycin-associated acute kidney injury (AKI) remains a major challenge for patients and clinicians. This study aimed to construct a risk scoring system for vancomycin-associated AKI. We retrospectively reviewed medical records of patients who underwent therapeutic drug monitoring for vancomycin from June 2018 to July 2019. We selected possible risk factors for AKI by univariate and multivariable logistic regression analyses and developed a scoring system for vancomycin-associated AKI. Machine learning methods were utilized to predict risk factors for the occurrence of AKI. The incidence of vancomycin-associated AKI was 31.7% among 104 patients included in this study. A bodyweight ≤60 kg (two points), a Charlson comorbidity index ≥3 (two points), a vancomycin trough serum level >15 μg/ml (one point), and concomitant use of ≥6 nephrotoxic agents (two points) were included to construct a risk scoring system based on the coefficient from the logistic regression model. The area under the receiver operating characteristic curve (AUROC) (mean, 95% confidence interval (CI)) across 10 random iterations using five-fold cross-validated multivariate logistic regression, elastic net, random forest, support vector machine (SVM)-linear kernel, and SVM-radial kernel models was 0.735 (0.638–0.833), 0.737 (0.638–0.835), 0.721 (0.610–0.833), 0.739 (0.648–0.829), and 0.733 (0.640–0.826), respectively. For total scores of 0–1, 2–3, 4–5, 6–7, the risk of vancomycin-associated AKI was 5, 25, 45, and 65%, respectively. Our scoring system can be applied to clinical settings in which several nephrotoxic agents are used along with vancomycin therapy.

Acute kidney injury detection using refined and physiological-feature augmented urine output

Acute kidney injury (AKI) is common in the intensive care unit, where it is associated with increased mortality. AKI is often defined using creatinine and urine output criteria. The creatinine-based definition is more reliable but less expedient, whereas the urine output based definition is rapid but less reliable. Our goal is to examine the urine output criterion and augment it with physiological features for better agreement with creatinine-based definitions of AKI. The objectives are threefold: (1) to characterize the baseline agreement of urine output and creatinine definitions of AKI; (2) to refine the urine output criteria to identify the thresholds that best agree with the creatinine-based definition; and (3) to build generalized estimating equation (GEE) and generalized linear mixed-effects (GLME) models with static and time-varying features to improve the accuracy of a near-real-time marker for AKI. We performed a retrospective observational study using data from two independent critical care databases, MIMIC-III and eICU, for critically ill patients who developed AKI in intensive care units. We found that the conventional urine output criterion (6 hr, 0.5 ml/kg/h) has specificity and sensitivity of 0.49 and 0.54 for MIMIC-III database; and specificity and sensitivity of 0.38 and 0.56 for eICU. Secondly, urine output thresholds of 12 hours and 0.6 ml/kg/h have specificity and sensitivity of 0.58 and 0.48 for MIMIC-III; and urine output thresholds of 10 hours and 0.6 ml/kg/h have specificity and sensitivity of 0.49 and 0.48 for eICU. Thirdly, the GEE model of four hours duration augmented with static and time-varying features can achieve a specificity and sensitivity of 0.66 and 0.61 for MIMIC-III; and specificity and sensitivity of 0.66 and 0.64 for eICU. The GLME model of four hours duration augmented with static and time-varying features can achieve a specificity and sensitivity of 0.71 and 0.55 for MIMIC-III; and specificity and sensitivity of 0.66 and 0.60 for eICU. The GEE model has greater performance than the GLME model, however, the GLME model is more reflective of the variables as fixed effects or random effects. The significant improvement in performance, relative to current definitions, when augmenting with patient features, suggest the need of incorporating these features when detecting disease onset and modeling at window-level rather than patient-level.

Nutritional Risk Screening 2002 was associated with acute kidney injury and mortality in patients with acute coronary syndrome: Insight from the REACP study

BACKGROUND AND AIMS

Acute kidney injury (AKI) is a common complication of acute coronary syndrome (ACS), and is associated with increased risk of morbidity and mortality. We aimed to evaluate the impact of malnutrition risk at admission assessed using Nutritional Risk Screening 2002 (NRS-2002) on AKI and mortality in patients with ACS.

METHODS AND RESULTS

We enrolled 3185 ACS patients from the retrospective multi-centre study. AKI was defined as criteria of the 2012 Kidney Disease Improving Global Outcomes. Risk of malnutrition was defined as NRS-2002 score ≥3. The end points were AKI and all-cause mortality. There were 926 (29.1%) patients with risk of malnutrition and 481 (15.1%) patients complicated with AKI during hospitalisation, and 378 (12.0%) patients died during the 13.1 (8.5-20.4) months of follow-up. Patients with NRS-2002 score ≥3 had a higher incidence of AKI and all-cause mortality (P < 0.001). Multivariate logistic and Cox regression analysis showed that the adjusted odd ratios and hazard ratios of categorised NRS-2002 (<3 vs. ≥3) for AKI and mortality were 1.643 (95% confidence interval: 1.242-2.172, P < 0.001) and 2.026 (95% confidence interval: 1.491-2.753, P < 0.001), respectively. In structural equation modelling, the indirect effects of NRS-2002 on mortality via AKI were 54.1% (P < 0.001).

CONCLUSION

The risk of malnutrition assessed using NRS-2002 was useful in identifying high-risk patients with AKI and mortality, and patients with ACS may benefit from further nutritional intervention and prevention of AKI.

REGISTRATION NUMBER

ChiCTR1900024657.

Nomogram for contrast-induced acute kidney injury in patients with chronic kidney disease undergoing coronary angiography in China: a cohort study

OBJECTIVES

To establish a nomogram for contrast-induced acute kidney injury (CI-AKI) risk assessment among patients with chronic kidney disease (CKD) undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI).

DESIGN

Prospective observational cohort study.

SETTING

Southern China.

INTERVENTIONS

None.

PARTICIPANTS

643 consecutive patients with CKD (defined as estimated glomerular filtration rate calculated by Modification of Diet in Renal Disease formula <60 mL/min/1.73 mm²) were enrolled.

OUTCOME MEASURES

The end point was CI-AKI defined as serum creatinine elevation ≥0.5 mg/dL or 25% from baseline within the first 48-72 hours following contrast exposure.Predictors of CI-AKI were selected by multivariable logistic regression and stepwise approach. A nomogram based on these predictors was constructed and compared with the classic Mehran Score. For validation, a bootstrap method (1000 times) was performed.

RESULTS

The nomogram including age, weight, heart rate, hypotension, PCI and β-blocker demonstrated a better predictive value than the classic Mehran Score (area under the curve: 0.78 vs 0.71, p=0.024), as well as a well-fitted calibration curve (χ²=12.146, p=0.145). Validation through the bootstrap method (1000 times) also indicated a good discriminative power (adjusted C-statistic: 0.76).

CONCLUSIONS

With fewer predictors and higher discriminative power, the present nomogram may be a simple and reliable tool to identify patients with CKD at risk of CI-AKI, whereas further external validations are needed.

Meal Frequency and Skipping Breakfast Are Associated with Chronic Kidney Disease

Chronic underhydration and malnutrition can be associated with irreversible renal damage. This study investigated the association of meal frequency and breakfast skipping with chronic kidney disease (CKD) in South Korea. Participants (4370 participants from the Korean National Health and Nutrition Examination Survey VI 2013-2014) were divided into two groups based on meal frequency: ≥ 15 or < 15 meals/week. They were further divided into four groups based on the frequency of breakfast, lunch, and dinner consumed in the previous year. The data were analyzed with complex samples logistic regression. We found that 9.6% of the participants (n = 412) had CKD, which was associated with gender, body mass index, serum fasting glucose, daily calorie intake, hypertension, diabetes, and cerebrovascular accident. Participants consuming <15 meals/week had a higher risk of CKD than those who consumed ≥15 meals/week (adjusted odds ratio [OR] 1.531, 95% confidence interval [CI] 1.209-1.938). Participants who rarely had breakfast showed a higher risk of CKD than those who had breakfast 5-7 times/week (adjusted OR 1.572, 95% CI 1.108-2.231). Our findings suggest that <15 meals/week or skipping breakfast is associated with a higher risk of CKD in the general South Korean population, especially for men or persons aged 42-64 years.