Colistin versus polymyxin B for the treatment of carbapenem-resistant Klebsiella pneumoniae bloodstream infections.

BACKGROUND: To assess the effectiveness of colistin (administered as colistimethate sodium-CMS) and polymyxin B (PMB) for the treatment of bloodstream infections (BSIs) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP). MATERIALS AND METHODS: This retrospective cohort included hospitalized adult patients with CRKP BSIs from a single tertiary-care hospital. A univariate analysis comparing CMS and PMB groups was carried out and an inverse-probability propensity score (IPPS) was created. An IPPS-adjusted Cox regression model for 30-day mortality was performed including covariates potentially associated with mortality. RESULTS: A total of 100 patients with CRKP BSI (87 were KPC-producing isolates) were included. The 30-day mortality was 42.0 %:17/46 (38.8 %) and 25/54 (44.6 %) patients of CMS and PMB groups, respectively, P = 0.54 (incidence rate, 18.9 and 21.7/1000 patients-day in CMS and PMB groups, respectively, P = 0.62). No statistically significant difference in 30-day mortality rate was observed in a model adjusted for Pitt bacteremia score, high-risk primary site and IPPS, which included age, intensive care unit admission, minimal inhibitory concentration, previous colonization by CRKP, diabetes mellitus, malignancy, neutropenia, meropenem use before BSI, adjuvant therapy with meropenem and amikacin, and time to start polymyxin. Acute kidney injury (AKI) occurred in 52.0 % of patients, with no significant differences between groups (47.8 % and 57.4 % for CMS and PMB, respectively, P = 0.83). In-hospital mortality was 47,7 % and 50.0 % in CMS and PMB groups, respectively, P = 0.82. CONCLUSION: There was no difference in 30-day mortality and AKI rates among patients with CRKP BSI treated with PMB or CMS.

Diabetes associates with mortality in critically ill patients with SARS-CoV-2 pneumonia: No diabetes paradox in COVID-19.

Background: Diabetes mellitus (DM) is not associated with increased mortality in critically ill patients, a phenomenon known as the "diabetes paradox". However, DM is a risk factor for increased mortality in patients with COVID-19. This study aims to investigate the association of DM and stress-induced hyperglycemia at intensive care unit (ICU) with mortality in this population. Methods: This is a retrospective study. Electronic medical records from patients admitted from March 2020 to September 2020 were reviewed. Primary outcome was mortality. Secondary outcomes were ICU and hospital mortality and stay, and need for mechanical ventilation and renal replacement therapy. Results: 187 patients were included. Overall mortality was 43.2%, higher in patients with DM (55.7% vs. 34%; p = 0.007), even after adjustment for age, hypertension, and disease severity. When patients were separated into groups, named normoglycemia (without DM and glycemia ≤140 mg/dL), stress-induced hyperglycemia (without DM and glycemia >140 mg/dL), and DM (previous diagnosis or HbA1c ≥ 6.5%), the mortality rate was 25.8%, 37.3%, and 55.7%, respectively (p = 0.021). Mortality was higher in patients with higher glycemic variability. No statistical difference related to secondary outcomes was observed. Conclusions: DM, hyperglycemia, and glycemic variability associated with increased mortality in critically ill patients with severe COVID-19, but did not increase the rates of other clinical outcomes. More than stress-induced hyperglycemia, DM was associated with mortality.

Prognosis of critically ill patients with extreme acidosis: A retrospective study.

OBJECTIVE: This study aims to assess the impact of different subtypes of extreme acidosis on the mortality of critically ill patients. METHODS: This retrospective cohort study included critically ill patients who were admitted to the intensive care unit (ICU) with a pH level <7. Clinical data and blood gas analyses were collected from electronic medical records. The primary outcome was in-hospital mortality. The use of vasopressors, mechanical ventilation (MV), and renal replacement therapy (RRT), the duration of MV and RRT, and the length of ICU and hospital stay were secondary outcomes. The simplified Stewart approach to acid-base disorders was used to analyze the causes of acidosis. RESULTS: A total of 231 patients with 371 arterial blood gas analyses with pH < 7 were admitted from January 2012 to December 2021 and 222 were included in the study. Out of the 222 patients analyzed, respiratory acidosis was the primary disorder in 11.3% of patients (n = 25), metabolic acidosis in 33.8% (n = 75), and mixed acidosis in 55% (n = 122). Overall mortality was 42.8% (n = 95). No significant difference was observed in mortality among patients with respiratory, metabolic, or mixed acidosis (28%, 42.7%, and 45.9%, respectively; p = 0.26). The primary disorder affected the use of vasopressors and MV, the duration of MV, and the length of ICU and hospital stay. Patients with extreme acidosis due to unmeasured anions with lactate levels of 4 mmol/L or higher had higher mortality compared with patients with lactate levels <4 mmol/L (55.6% and 27.7%, respectively; p = 0.007). CONCLUSION: Among critically ill patients with extreme acidosis, the primary disorder is not associated with mortality, but it is associated with the use of vasopressors and MV, the duration of MV, and the length of ICU and hospital stay. Additionally, hyperlactatemia is a predictor of poor prognosis in patients with extreme acidosis.

Copeptin and stress-induced hyperglycemia in critically ill patients: A prospective study.

OBJECTIVES: Copeptin, an equimolar indicator of serum antidiuretic hormone levels, has been associated with higher mortality in critically ill patients and with the development of diabetes in the general population. The aim of the present study was to investigate the association of copeptin levels with glycemic parameters in critically ill patients and to compare the time-course of copeptin in survivors and non-survivors. DESIGN: Prospective cohort study. PATIENTS: From June to October 2019, critically ill patients were prospectively enrolled and followed for 90 days. MEASUREMENTS: Plasma copeptin levels were determined at intensive care unit (ICU) admission (copeptin T1), 24 h (copeptin T2), and 48 h (copeptin T3) after study entry. Blood glucose and glycated hemoglobin levels were measured. ICU, in-hospital, and 90-day mortality, and length of stay in the ICU and hospital were evaluated. RESULTS: 104 patients were included. No significant correlation was detected between copeptin levels and blood glucose (r = -0.17, p = 0.09), HbA1c (r = 0.01, p = 0.9), glycemic gap (r = -0.16, p = 0.11), and stress hyperglycemia ratio (r = -0.14, p = 0.16). Copeptin T3 levels were significantly higher in survivors than in non-survivors at hospital discharge (561 [370-856] vs 300 [231-693] pg/mL, p = 0.015) and at 90 days (571 [380-884] vs 300 [232-698] pg/mL, p = 0.03). CONCLUSIONS: No significant correlations were found between copeptin levels and glycemic parameters, suggesting that copeptin is not a relevant factor in the induction of hyperglycemia during critical illness. Copeptin levels at ICU day 3 were higher in survivors than in non-survivors.

Prevalence of Psoriatic Arthritis Patients Achieving Minimal Disease Activity in Real-world Studies and Randomized Clinical Trials: Systematic Review with Metaanalysis.

OBJECTIVE: To estimate the frequency of patients with psoriatic arthritis (PsA) achieving minimal disease activity (MDA) status in real-world studies and randomized controlled trials (RCT). METHODS: A systematic literature search for 2009-2017 was performed in PubMed, Embase, Cochrane Library, and LILACS. Study selection and data extraction were performed by 2 independent researchers. Random-effects single-arm metaanalyses were performed and heterogeneity was assessed using I2. RESULTS: A total of 405 records were identified and 45 studies were analyzed: 39 (86.7%) observational studies and 6 (13.3%) RCT; they included 12,469 patients. The overall prevalence of MDA in cross-sectional studies was 35% (95% CI 30%-41%, I2 = 94%), varying from 17% (95% CI 7%-34%) in patients taking synthetic disease-modifying antirheumatic drugs (DMARD) to 57% (95% CI 41%-71%) in those taking biological DMARD. Prevalence of MDA in cohort studies increased with longer followup time, ranging from 25% (95% CI 15%-40%) with 3- to 4-month followup to 42% (95% CI 38%-45%) with > 24-month followup. Patients with PsA receiving biological DMARD in a real-world context and RCT had similar prevalence of MDA at 6-month followup: 30% (95% CI 21%-41%, I2 = 85%) versus 32% (95% CI 26%-39%, I2 = 79%), respectively. CONCLUSION: Patients with PsA included in real-world studies had similar prevalence of MDA compared to those in controlled clinical trials. This finding suggests that MDA is a useful treatment target for PsA in the real-world setting.

Incidence of tuberculosis infection in spondyloarthritis patients treated with biological and conventional disease-modifying anti-rheumatic drugs in an endemic area

Introduction: Registries of spondyloarthritis (SpA) patients' follow-up provided evidence that tumor necrosis factor inhibitors (TNFi) increase the incidence of active tuberculosis infection (TB). However, most of these registries are from low burden TB areas. Few studies evaluated the safety of biologic agents in TB endemic areas. This study compares the TB incidence rate (TB IR) in anti-TNF-naïve and anti-TNF-experienced subjects with SpA in a high TB incidence setting.Methods: In this retrospective cohort study, medical records from patients attending a SpA clinic during 13 years (2004 to 2016) in a university hospital were reviewed. The TB IR was calculated and expressed as number of events per 105 patients/year; the incidence rate ratio (IRR) associated with the use of TNFi was calculated.Results: A total of 277 patients, 173 anti-TNF-naïve and 104 anti-TNF-experienced subjects, were evaluated; 35.7% (N = 35) of patients who were prescribed an anti-TNF drug were diagnosed with latent tuberculosis infection (LTBI). Total follow-up time (person-years) was 1667.8 for anti-TNF-naïve and 394.9 for anti-TNF-experienced patients. TB IR (95% CI) was 299.8 (37.4-562.2) for anti-TNF naïve and 1012.9 (25.3-2000.5) for anti-TNF experienced subjects. The IRR associated with the use of TNFi was 10.4 (2.3- 47.9).Conclusions: In this high TB incidence setting, SpA patients exposed to anti-TNF therapy had a higher incidence of TB compared to anti-TNF-naïve subjects, although the TB incidence in the control group was significant.(AU)