Factors that predict development of chronic kidney disease in patients with rheumatoid arthritis receiving biologic DMARDs and mortality rates.

OBJECTIVES: We aimed to determine the choice of biologic/targeted synthetic disease-modifying anti-rheumatic drugs (b/ts-DMARDs), factors associated with the development of chronic kidney disease (CKD), and mortality in RA patients with CKD receiving b/ts-DMARDs. METHODS: Two thousand one hundred forty-one RA (79.4% female) patients were included in the analysis from the HUR-BIO prospective registry. Patients were divided into the CKD group and the non-CKD group. Age and gender-matched patients were selected from the non-CKD group, and then three main groups were determined. CKD was staged according to the glomerular filtration rate criteria. The clinical characteristics of the patients, disease activities, treatment choices, drug retention rate, and mortality rates were compared between the groups. RESULTS: CKD was detected in 90/2141 (4.2%) RA patients on b/ts-DMARDs. Forty patients (2.3%) developed CKD during follow-up after the initiation of b/ts-DMARDs. In the CKD group, anti-TNF agents were chosen as the first-line b/ts-DMARDs therapy in 64.4% of patients, with etanercept leading in 31 (34.4%) patients. In multivariate analysis, age at the start of treatment, DAS-28-ESR at last visit, amyloidosis, hypertension, and history of smoking were the factors associated with the development of CKD in RA patients receiving b/ts-DMARDs. The mortality rate in RA-CKD patients until the onset of the pandemic was 15.41 per 1000 patient years, whereas it was 85.9 per 1000 patient years after the pandemic. CONCLUSION: Comorbidities and control of disease activity are critical in the development of CKD in RA patients receiving b/ts-DMARDs. While there was no significant difference in mortality rate between CKD and non-CKD patients, the overall mortality rate increased after the COVID-19 pandemic duration in both groups.

Predictors of drug retention and treatment response in axial spondyloarthritis patients treated with certolizumab: real-life results from the HURBIO registry.

OBJECTIVES: To assess the real-life retention rate of certolizumab and factors related to retention of certolizumab. METHODS: We analysed all patients who received at least 1 dose of certolizumab and were registered in the HURBIO database. Patients with at least 1 control visit were included in efficacy analysis. Drug retention rates were calculated using the Kaplan-Meier method and predictors of drug retention was determined by Cox proportional hazard model. Factors predicting BASDAI50 response at first visit were analysed by the logistic regression analysis. Reasons of switching and discontinuation were also determined. RESULTS: A total of 325 (AS (76%), female 55%) patients were recruited. Median follow-up while receiving certolizumab was 13 (4.7-22.7) months. At 1 year, overall certolizumab retention rate was 72.5%. Predictors of poor certolizumab retention were: Current or ex-smoker [HR 1.11 (0.70-1.76), p=0.65], high CRP levels [HR 0.72 (0.45-1.16), p=0.18], biologic-naïve [HR 0.81 (0.49-1.32), p=0.39] and good BASDAI50 response at first control visit [HR 0.54 (0.30-0.96), p=0.04]. Mean duration from starting certolizumab to the first control visit was 3 (3-6) months. Predictors of poor BASDAI50 response: Presence of nr-axSpa [RR 2.12 (1.01-4.51), p=0.05], female gender [RR 2.14 (1.20-3.82), p=0.01] and history of biologic therapy [RR 3.52 (1.95-6.33), p<0.001]. The most common causes of drug switch were primary failure and drug side-effects. CONCLUSIONS: In this study, good BASDAI50 response at first visit seems to be a strong predictor of higher retention of certolizumab in patients with axial spondyloarthritis.

Emergence of colistin and carbapenem-resistant Acinetobacter calcoaceticus-Acinetobacter baumannii (CCR-Acb) complex in a neurological intensive care unit followed by successful control of the outbreak.

BACKGROUND: Colistin and carbapenem-resistant Acinetobacter calcoaceticus- Acinetobacter baumannii complex (CCR-Acb complex) was isolated from two consecutive patients in the neurological intensive care unit (NICU). An urgent reaction to this desperate situation was required. PATIENTS AND METHODS: Screening cultures were taken from the other patients sharing the NICU with index patients and repeated periodically. NICU was closed for new admissions. Infection control precautions (ICP) such as hand hygiene, cohorting patients colonized with CCR-Acb complex, cohorting the staff caring for these patients, daily bathing with chlorhexidine gluconate impregnated clothes, using gowns when contacting with patients and patient care area, and sodium hypochlorite tablets for environmental cleaning were enforced. RESULTS: Screening cultures revealed carbapenem-resistant Acb complex in 12 out of 32 patients and 8 of them were colonized with CCR-Acb complex. NICU was opened for new admissions one month later. No further new cases with CCR-Acb complex were detected by screening cultures after 6 weeks with enforcement of ICP. Moreover, the rate of nosocomial infections caused by other multi-drug resistant Gram-negative bacilli (MDR-GNB) decreased significantly when rates before and after closing the NICU were compared. CONCLUSION: ICP were effective not only to limit the spread of CCR-Acb complex but also decreased the incidence of other MDR-GNB infections when applied adequately.