ICU Patients Requiring Renal Replacement Therapy Initiation: Fewer Survivors and More Dialysis Dependents From 80 Years Old

Efficacy and Safety of Dupilumab in Older Patients (Aged 80 Years and Above) with Atopic Dermatitis: A Prospective Study

BACKGROUND

Atopic dermatitis presents unique challenges in the older population owing to age-related changes in skin barrier function and immune regulation. However, there is limited evidence on the efficacy and safety of dupilumab, an anti-interleukin-4Rα monoclonal antibody, in patients with atopic dermatitis aged 80 years and above.

OBJECTIVE

We aimed to assess the clinical efficacy and safety of dupilumab treatment in patients with atopic dermatitis aged 80 years and above.

METHODS

Twenty-eight older patients received dupilumab and were evaluated based on several clinical parameters, including the Eczema Area and Severity Index (EASI), Numeric Rating Scale (NRS), Dermatology Life Quality Index (DELI), and AD Control Tool (ACT). Safety assessments and monitoring of concomitant medication use were conducted.

RESULTS

Twenty-six patients completed 16 weeks of treatment, 13 completed 28 weeks, and two completed more than 36 weeks. Dupilumab treatment resulted in a significant improvement in atopic dermatitis symptoms after 16 weeks as demonstrated by reduced EASI, NRS, DLQI, and ADCT scores. Dupilumab had no significant impact on underlying diseases or medication use. No common adverse reactions, such as conjunctivitis and erythema of the face and neck, were identified. Among the 26 patients receiving dupilumab treatment during the COVID-19 pandemic, 17 remained uninfected or experienced milder COVID-19 symptoms than experienced in the general population.

CONCLUSIONS

Dupilumab treatment showed significant efficacy in improving atopic dermatitis symptoms in patients aged 80 years and above with a high level of safety. Larger long-term clinical trials are needed to validate these results and provide further evidence for the use of dupilumab in older patients with atopic dermatitis.

A nomogram for reduced cardiac function in postoperative acute type A aortic dissection patients with acute kidney injury undergoing continuous renal replacement therapy

Background

This study aimed to develop a nomogram to predict reduced cardiac function for acute kidney injury (AKI) patients who received continuous renal replacement therapy (CRRT) after acute type A aortic dissection (ATAAD) surgery.

Methods

This study was a retrospective analysis. ATAAD patients with preoperative normal ejection fraction (EF) and postoperative AKI with CRRT admitted between January 2014 and November 2021 were included. The reduced cardiac function was defined as EF <50%. The data were analyzed by the univariate and multivariate logistic regression analyses. A diagnostic model was established by a nomogram, and its discriminative performance was validated by the received operating characteristic (ROC) curve and concordance (C) statistic. The calibration of the diagnostic model was tested by calibration curves and the HosmerLemeshow test. The clinical utility was evaluated by the decision curve analysis (DCA).

Result

In total, 208 patients were eligible for analysis, of which 98 patients with reduced cardiac function. The logistic regression analyses showed age ≥60 years old, history of coronary atherosclerotic disease, preoperative pericardial tamponade, and cardiopulmonary bypass time were risk factors for reduced cardiac function, which were further employed in the nomogram. As results, nomogram revealed a high predictive power (C statistic = 0.723, 0.654–0.792; the bootstrap-corrected concordance C statistic = 0.711, the area under the ROC curve = 0.723). The calibration curves showed good consistency between the predicted and the actual probabilities (calibration curve: Brier points = 0.208, Emax = 0.103, Eavg = 0.021; Hosmer-Lemeshow test, P = 0.476). DCA showed that the nomogram could augment net benefits and exhibited a wide range of threshold probabilities in the prediction of EF reduction.

Conclusion

This nomogram is an effective diagnostic model for predicting the reduced cardiac function in postoperative ATAAD patients with AKI undergoing CRRT and can be used to protect postoperative renal functions and facilitate patient-specific care after ATAAD surgery.

Development and Validation of a Prognostic Model to Predict the Risk of In-hospital Death in Patients With Acute Kidney Injury Undergoing Continuous Renal Replacement Therapy After Acute Type a Aortic Dissection

Background

This study aimed to construct a model to predict the risk of in-hospital death in patients with acute renal injury (AKI) receiving continuous renal replacement therapy (CRRT) after acute type A aortic dissection (ATAAD) surgery.

Methods

We reviewed the data of patients with AKI undergoing CRRT after ATAAD surgery. The patients were divided into survival and nonsurvival groups based on their vital status at hospital discharge. The data were analyzed using univariate and multivariate logistic regression analyses. Establish a risk prediction model using a nomogram and its discriminative ability was validated using C statistic and the receiver operating characteristic (ROC) curve. Its calibration ability was tested using a calibration curve, 10-fold cross-validation and Hosmer–Lemeshow test.

Results

Among 175 patients, in-hospital death occurred in 61 (34.9%) patients. The following variables were incorporated in predicting in-hospital death: age > 65 years, lactic acid 12 h after CRRT, liver dysfunction, and permanent neurological dysfunction. The risk model revealed good discrimination (C statistic = 0.868, 95% CI: 0.806–0.930; a bootstrap-corrected C statistic of 0.859, the area under the ROC = 0.868). The calibration curve showed good consistency between predicted and actual probabilities (via 1,000 bootstrap samples, mean absolute error = 2.2%; Hosmer–Lemeshow test, P = 0.846). The 10-fold cross validation of the nomogram showed that the average misdiagnosis rate was 16.64%.

Conclusion

The proposed model could be used to predict the probability of in-hospital death in patients undergoing CRRT for AKI after ATAAD surgery. It had the potential to assist doctors to identify the gravity of the situation and make the targeted therapeutic measures.

Predictors for mortality and recovery in patients with acute renal injury receiving continuous renal replacement therapy

OBJECTIVE

Despite continuous renal replacement therapy (CRRT) has been widely used in critically ill patients with acute kidney injury (AKI), the prognosis and recovery of renal function in these patients are still poor. Therefore, we aimed to identify the prognostic factors for the mortality and recovery of renal function in patients with AKI receiving CRRT.

METHODS

A total of 125 patients with AKI, treated with CRRT in the emergency intensive care unit (EICU) in an academic teaching hospital from January 2014 to December 2018 were enrolled in this retrospective study. The clinical data of these patients were collected. Univariate regression analysis and multivariate regression analysis were conducted to identify the predictors for the mortality and recovery of renal function.

RESULTS

The median age was 68.0 (56.5-79.0) years old, and from which 69.6% were males. Sixty-four patients (51.2%) survived and 50 patients (40%) recovered their renal function. Multivariate regression analysis showed that the independent risk factors for mortality were male (odds ratio [OR]:3.771, 95% confidence interval [CI]:1.063-13.372, p = 0.04), Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR: 1.187, 95% CI: 1.050-1.341, p = 0.006), mechanical ventilation (OR: 6.266, 95% CI: 1.771-22.167, p = 0.004) and vasopressor use (OR: 5.224, 95% CI: 1.546-17.657, p = 0.008). Moreover, the independent predictors for not recovering of renal function were male (OR: 3.440, 95% CI: 1.271-9.311, p = 0.015), pre-existing comorbidity of hypertension (OR: 4.207, 95% CI: 1.609-11.000, p = 0.003) and vasopressor use (OR: 5.280, 95% CI: 2.018-13.811, p = 0.001).

CONCLUSIONS

Male, high APACHE II score, mechanical ventilation and vasopressor use were closely associated with the increased mortality, while male, pre-existing history of hypertension, and vasopressor use were the independent predictors for non-recovery of renal function.

Global epidemiology and outcomes of acute kidney injury

Acute kidney injury (AKI) is a commonly encountered syndrome associated with various aetiologies and pathophysiological processes leading to decreased kidney function. In addition to retention of waste products, impaired electrolyte homeostasis and altered drug concentrations, AKI induces a generalized inflammatory response that affects distant organs. Full recovery of kidney function is uncommon, which leaves these patients at risk of long-term morbidity and death. Estimates of AKI prevalence range from <1% to 66%. These variations can be explained by not only population differences but also inconsistent use of standardized AKI classification criteria. The aetiology and incidence of AKI also differ between high-income and low-to-middle-income countries. High-income countries show a lower incidence of AKI than do low-to-middle-income countries, where contaminated water and endemic diseases such as malaria contribute to a high burden of AKI. Outcomes of AKI are similar to or more severe than those of patients in high-income countries. In all resource settings, suboptimal early recognition and care of patients with AKI impede their recovery and lead to high mortality, which highlights unmet needs for improved detection and diagnosis of AKI and for efforts to improve care for these patients.