Citations

Background Semiquantitative visual inspection for glomerulosclerosis, interstitial fibrosis, and arteriosclerosis is often used to assess chronic changes in native kidney biopsies. Morphometric evaluation of these and other chronic changes may improve the prognostic assessment. Methods We studied a historical cohort of patients who underwent a native kidney biopsy between 1993 and 2015 and were followed through 2021 for ESKD and for progressive CKD (defined as experiencing 50% eGFR decline, temporary dialysis, or ESKD). Pathologist scores for the percentages of globally sclerosed glomeruli (GSG), interstitial fibrosis and tubular atrophy (IFTA), and arteriosclerosis (luminal stenosis) were available. We scanned biopsy sections into high-resolution images to trace microstructures. Morphometry measures were percentage of GSG; percentage of glomerulosclerosis (percentage of GSG, ischemic-appearing glomeruli, or segmentally sclerosed glomeruli); percentage of IFTA; IFTA foci density; percentage of artery luminal stenosis; arteriolar hyalinosis counts; and measures of nephron size. Models assessed risk of ESKD or progressive CKD with biopsy measures adjusted for age, hypertension, diabetes, body mass index, eGFR, and proteinuria. Results Of 353 patients (followed for a median 7.5 years), 75 developed ESKD and 139 experienced progressive CKD events. Visually estimated scores by pathologists versus morphometry measures for percentages of GSG, IFTA, and luminal stenosis did not substantively differ in predicting outcomes. However, adding percentage of glomerulosclerosis, IFTA foci density, and arteriolar hyalinosis improved outcome prediction. A 10-point score using percentage of glomerulosclerosis, percentage of IFTA, IFTA foci density, and any arteriolar hyalinosis outperformed a 10-point score based on percentages of GSG, IFTA, and luminal stenosis >50% in discriminating risk of ESKD or progressive CKD. Conclusion Morphometric characterization of glomerulosclerosis, IFTA, and arteriolar hyalinosis on kidney biopsy improves prediction of long-term kidney outcomes.

ABSTRACT Background Implementation of checklists has been shown to be effective in improving patient safety. This study aims to evaluate the effectiveness of implementation of a checklist for daily care processes into clinical practice of pediatric intensive care units (PICUs) with limited resources. Methods Prospective before–after study in eight PICUs from China, Congo, Croatia, Fiji, and India after implementation of a daily checklist into the ICU rounds. Results Seven hundred and thirty-five patients from eight centers were enrolled between 2015 and 2017. Baseline stage had 292 patients and post-implementation 443. The ICU length of stay post-implementation decreased significantly [9.4 (4–15.5) vs. 7.3 (3.4–13.4) days, p = 0.01], with a nominal improvement in the hospital length of stay [15.4 (8.4–25) vs. 12.6 (7.5–24.4) days, p = 0.055]. The hospital mortality and ICU mortality between baseline group and post-implementation group did not show a significant difference, 14.4% vs. 11.3%; p = 0.22 for each. There was a variable impact of checklist implementation on adherence to various processes of care recommendations. A decreased exposure in days was noticed for; mechanical ventilation from 42.6% to 33.8%, p < 0.01; central line from 31.3% to 25.3%, p < 0.01; and urinary catheter from 30.6% to 24.4%, p < 0.01. Although there was an increased utilization of antimicrobials (89.9–93.2%, p < 0.01). Conclusions Checklists for the treatment of acute illness and injury in the PICU setting marginally impacted the outcome and processes of care. The intervention led to increasing adherence with guidelines in multiple ICU processes and led to decreased length of stay.

Abstract Background: The Checklist for Early Recognition and Treatment of Acute Illness and Injury (CERTAIN) study is a before-and-after clinical quality improvement study involving 20 countries. Our aim was to describe the challenges and solutions for study implementation across various intensive care units.Methods: After local institutional review board approval, each study center had a setup period before patient data were collected. Each center was required to accomplish 4 stages: baseline data collection, remote simulation training, local implementation, and postimplementation data collection and maintenance of process of care. We measured the time required to complete each study stage and used the Define, Measure, Analyze, Improve, and Control (DMAIC) framework to identify the challenges encountered during each stage and guide improvement strategies to facilitate implementation of CERTAIN.Results: Between June 2012 and December 2017, 55 centers from 20 countries were recruited to participate. The time to complete each stage at different centers varied significantly. The most common domains in which challenges occurred were 1) leadership support and team building, 2) communication, 3) work environment culture, 4) language barriers, 5) infrastructure and technology, and 6) sustainability. Obstacles in these 6 areas delayed reaching major milestones of the study. Different strategies were deployed to overcome these barriers: engaging leadership for support, using native-speaking clinicians during training sessions, using various communication platforms, providing personal computers to local hospitals, making in-person site visits, offering flexible training time, and supporting local centers’ grant applications. Centers that enrolled during the control phase, compared with those that enrolled earlier, had significantly shorter times and less variation in times for each study stage and for the total study time.Conclusions: By using the DMAIC method, we identified the predominant 6 domains in which challenges occurred during implementation of the global CERTAIN study and developed targeted strategies to overcome the challenges and shorten the duration of the study. The DMAIC method would be useful in improving the efficiency of other large-scale multinational quality improvement projects.

Abstract Abstract Background: Pulmonary hypertension (PH) is a significant preoperative risk factor. We aimed to determine predictors of perioperative morbidity and mortality after noncardiac surgery for patients with precapillary PH. Methods: We conducted a retrospective cohort study of adults with pulmonary hypertension having surgery at a single large medical referral center. The PH and surgical databases were reviewed from 2010 to 2017. Patients were excluded if PH was attributable to left-sided heart disease or they had undergone cardiac or transplant operations. To assess whether PH-specific diagnostic or cardiopulmonary testing parameters were predictive of perioperative complications, analyses were performed using generalized estimating equations. Results: Of 196 patients with PH undergoing noncardiac operations, 53 (27%) experienced 1 or more complications, including 5 deaths (3%) within 30 days. After adjustment for age and PH type, there were more complications in those undergoing moderate-to-high vs low-risk procedures (odds ratio [OR], 4.17 [95% CI, 2.07 to 8.40]; P<0.001). After adjustment for age, surgical risk, and PH type, the risk for complications was higher for patients with worse functional status (OR, 2.39 [95% CI, 1.19 to 4.78]; P=0.01 for class 3/4 vs class 1/2) and elevated serum N-terminal fragment of the prohormone brain natriuretic peptide (NT-proBNP) (OR, 2.28 [95% CI, 1.05 to 4.96]; P=0.04 for ≥300 vs. <300 pg/mL). From an analysis that included covariates for age, surgical risk, and functional status, elevated serum NT-proBNP levels remained associated with increased risk (OR, 2.23 [95% CI, 1.05 to 4.76]; P=0.04). Conclusions: Patients with PH undergoing noncardiac surgery with general anesthesia have a high frequency of perioperative complications. Specific clinical (functional status), diagnostic (serum NT-proBNP), and intraoperative factors (higher-risk surgery) are predictive of worse outcomes.

Objectives: To evaluate the epidemiology of hyperammonemia unrelated to liver failure in the critical care setting. Design: Retrospective case series. Setting: Critically ill patients admitted to ICUs at Mayo Clinic, Rochester, MN (medical ICU, two mixed medical-surgical ICUs, coronary care unit, or the cardiosurgical ICU) between July 1, 2004, and October 31, 2015. Patients: Adult critically ill patients with hyperammonemia not related to acute or chronic liver failure. We excluded patients with diagnosis of moderate or severe liver disease, hyperbilirubinemia, and patients who denied the use of their medical records. Interventions: None. Measurements and Main Results: Of 3,908 ICU patients with hyperammonemia, 167 (4.5%) had no evidence of acute or chronic liver failure. One-hundred one patients (60.5%) were male with median age of 65.7 years (interquartile range, 50–74.5 yr) and median serum ammonia level of 68 µg/dL (interquartile range, 58–87 µg/dL). Acute encephalopathy was present in 119 patients (71%). Predisposing conditions included malnutrition 27 (16%), gastric bypass six (3.6%), total parenteral nutrition four (2.4%); exposure to valproic acid 17 (10%); status epilepticus 11 (6.6%), high tumour burden 19 (11.3%), and renal failure 82 (49.1%). Urea cycle defects were diagnosed in seven patients (4.1%). Hospital mortality was high (30%), and median ammonia level was higher among the nonsurvivors (74 vs 67 µg/dL; p = 0.05). Deaths were more likely in hyperammonemic patients who were older (p = 0.016), had greater illness severity (higher Acute Physiology and Chronic Health Evaluation III score, p < 0.01), malignancy (p < 0.01), and solid organ transplantation (p = 0.04), whereas seizure disorder was more common in survivors (p = 0.02). After adjustment, serum ammonia level was not associated with increased mortality. Conclusions: Hyperammonemia occurs in a substantial minority of critically ill patients without liver failure. These patients have a poor prognosis, although ammonia level per se is not independently associated with mortality. Serum ammonia should be measured when risk factors are present, such as nutritional deficiencies and protein refeeding, treatment with valproic acid, high tumour burden, and known or suspected urea cycle abnormalities.