BACKGROUND AND AIMS Acute kidney injury (AKI) is a common complication among patients hospitalized with COVID-19. The incidence of AKI is estimated to be around 5%–80%, according to the series, but data on renal function evolution is limited. Our main objective was to describe the incidence of AKI in patients with SARS-CoV-2 infection; secondarily, we analysed the severity of AKI and medium-term renal function evolution in these patients. METHOD A retrospective observational study that included patients hospitalized a single hospital, diagnosed with SARS-CoV-2 infection, who developed AKI (March-May 2020). We register clinical and demographic characteristics, creatinine upon admission and prior to discharge, as well as creatinine and CKD-EPI glomerular filtration rate (eGFR) after at least 3 months after discharge. CKD was defined according to KDIGO stages based on the eGFR (G3-G5). The KDIGO classification was used to define and classify AKI. Recovery of kidney function was defined as difference in at discharge or post-hospitalization creatinine < 0.3 mg/dL with respect basal creatinine. The clinical follow-up ranged from admission to death or end of study. RESULTS Of 258 patients hospitalized with SARS-CoV-2 infection, AKI occurred in 73 (28.3%). 63% (n = 46) were men; the mean of age was 69 years (57–76). DRA severity: 35 (48%) KDIGO-1, 15 (21%) KDIGO-2 and 23 (31%) KDIGO-3. The mean stay was associated with the severity of AKI: 7 days (3–11) for KDIGO-1, 11 days for KDIGO-2 (5–22) and 12 days (8–35) for KDIGO-3 (P = .02). The stage of CKD established differences in the severity of AKI: 66.6% (n = 6) of the patients with CKD G4–G5 presented AKI-KDIGO 3 versus only 25.0% (n = 4) in the CKD-G3 patients (P = .02). Admission to the ICU was more frequent in KDIGO 2–3 versus KDIGO-1 [39% (n = 15) versus 9% (n = 3); P < .01]. Of the 48 patients discharged, 30 (62.5%) had recovered their baseline renal function upon discharge. Only 2 are still on RRT after 8 months (2.7% of all patients). Of the 25 patients died (34% of patients with AKI) with a median time of 3 days from DRA diagnosis (1–8). Renal function of 35 patients was monitored, which correspond to 19 (54%) KDIGO-1, 8 (23%) KDIGO-2, 8 (23%) KDIGO-3 stages. In these patients, analytical control starting 3 months after hospitalization revealed FG 66 (SD 30; 56–76) mL/min/1.73 m2. We have not found differences in renal function between pre- and post-hospitalization in related test. A total of 77% (n = 37) of discharged patients recovered their baseline renal function in the post-hospitalization control. CONCLUSION The incidence of AKI in the context of COVID-19 in our series was 28.3%, with an associated mortality of 34.2%. Most of the patients presented with AKI KDIGO 1 (47.9%). The severity of AKI is associated with a longer hospital stay, admission to the ICU and the requirement for RRT. The advanced stages of CKD pre-admission showed more severity of AKI. The maintenance in TRS in our series has been 2.7%. Patients who were discharged for recovery/improvement of COVID-19 had normalized kidney function during subsequent follow-up, regardless of the severity of the AKI developed on admission for COVID-19.

BACKGROUND AND AIMS Acute kidney injury (AKI) has been described as a frequent complication in patients with COVID-19. The incidence of AKI is estimated to be around 5%–80% depending on the series; however, data characterizing the type of AKI and the evolution of renal function parameters in the medium-long term are still limited. METHOD Based on the initial AKI-COVID Registry, we developed an extended registry where we registered retrospectively new variables that included clinical and demographic characteristics, infection severity parameters and data related to AKI (ethology, KDIGO classification, need of renal replacement therapy, analytic values: baseline creatinine, maximum creatinine during admission, creatinine at discharge or death, creatinine at 1 month after hospitalization and urinary parameters). Recovery of kidney function was defined as difference in at discharge or posthospitalization creatinine < 0.3 mg/dL with respect basal creatinine. RESULTS Our analysis included 196 patients: 74% male, mean age 66 + 13 years; 65% hypertensive, 33% diabetic and 22% chronic kidney disease. According to the KDIGO classification: 66% AKI KDIGO3, 17% KDIGO2 and 15% KDIGO1. Creatinine values ​​are summarized in Table 1. We found significant differences in the baseline/high creatinine differential; these differences were lost after hospitalization. The main types of AKI were prerenal (35%) and acute tubular necrosis secondary to sepsis (ATN) (53%). 89% of patients with ATN presented AKI KDIGO 3, compared with 57% in the prerenal group (P < .001). Patients with prerenal AKI had greater comorbidity. On the other hand, patients with ATN AKI developed more serious COVID-19 infection: higher percentage of severe pneumonia, admission to the intensive care unit and need for orotracheal intubation. The analytical parameters were more extreme in patients with ATN AKI, except for creatinine and urea upon admission, which were higher in the prerenal AKI group. A total of 89 patients died during the study; 65% of ATN AKI patients versus 31% of prerenal-AKI patients (P < .001). The ATN was a mortality risk factor, whit a hazard ratio 2.74 [95% confidence interval (95% CI )1.29–5.7] (P = .008) compared with the prerenal AKI. CONCLUSION AKI in hospitalized patients with COVID19 presented with two different clinical patterns. Prerenal AKI more frequently affected older, more comorbid patients, and with a mild COVID19 infection. The NTA AKI affected younger patients, with criteria of severity of infection and multiplying mortality almost three times. In analytical control 1-month post-hospitalization, most of the patients recovered their kidney function. Although the implications of AKI associated with COVID-19 in the development of chronic kidney disease are still unclear, our data suggest that most patients will recover kidney function in a medium term.

Background Tunneled catheter-related bacteremia represents one of the major complications in patients on hemodialysis, and is associated with increased morbidity and mortality. This study aimed to evaluate the incidence of tunneled catheter-related bacteremia and, secondly, to identify possible factors involved in the first episode of bacteremia. Methods This is a retrospective study of all tunneled catheters inserted between 1 January, 2005 and 31 December, 2019. Data on patients with a tunneled catheter were analyzed for comorbidities, catheter characteristics, microbiological culture results and variables related to the first episode of bacteremia. Patient outcomes were also assessed. Results In the 14-year period under study, 406 tunneled catheters were implanted in 325 patients. A total of 85 cases of tunneled catheter-related bacteremia were diagnosed, resulting in an incidence of 0.40 per 1000 catheter days (81.1% after 6 months of implantation). The predominant microorganisms isolated were Gram-positive organisms: Staphylococcus epidermidis (48.4%); Staphylococcus aureus (28.0%). We found no significant differences in time to catheter removal for infections or non-infection-related reasons. The jugular vein, the Palindrome® catheter, and being the first vascular access were protective factors for the first episode of bacteremia. The 30-day mortality rate from the first tunneled catheter-related bacteremia was 8.7%. Conclusions The incidence of bacteremia in our study was low and did not seem to have a relevant impact on catheter survival. S. epidermidis was the most frequently isolated microorganism, followed by S. aureus. We identified Palindrome® catheter, jugular vein, and being the first vascular access as significant protective factors against tunneled catheter-related bacteremia. Graphical abstract

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BACKGROUND AND AIMS The incidence of acute renal failure (ARF) is frequent and has an implication in the morbidity and mortality of SARS-CoV-2 infection. METHOD A retrospective descriptive study of patients admitted for SARS-CoV-2 infection during the first (G1) and second (G2) waves who presented with ARF. They correspond to the period from March to May 2020 (G1) and from August to December 2020 (G2). We compare populations, outcomes and treatments. RESULTS A total of 73 patients in the first wave (G1), with a cumulative incidence (CI) of 28.3% (G1), compared with 58 patients in the second wave (G2), with a CI of 8% (G2). The mean age was higher in G2 [65.8 ± 15 years (G1); 75.3 ± 14 (G2); P <.05], with no difference regarding sex [63% (G1); 54% (G2)]. In G2, there was a higher proportion of patients with cardiovascular disease [23% (G1); 57% (G2)], hypertension [56% (G1); 83% (G2)]. The baseline glomerular filtration rate (GFR) being similar for both groups (CKD EPI: 69 mL/min/1.73² (G1); P = .27). In the first wave, the mean days from admission to ARF was 3.1 days ± 4.2, and 42% of the patients were diagnosed at admission (31 patients). In the second, it was 2.9 days ± 5.7, of which 60% at admission (35 patients). The most prevalent cause was prerenal in both. Higher proportion in G1 of KDIGO stage 3 (G1: 30% versus G2: 17%) and renal replacement therapy (RRT) (G1: 9 versusG2: 2 patients). Only 3 patients remained in RRT in G1 and 1 patient in G2. In G1, 64% recovered their GFR [mean time (MT): 7.5 ± 8 days], and the percentage of deaths was 34%. In G2, 72% recovered GFR (MT: 16 ± 25 days), and 19% of patients died. CONCLUSION Despite a lower age and comorbidity of the first wave patients, the severity and lethality was higher. There were no differences in the proportion of patients who recovered their baseline renal function, although the recovery time was longer in the second wave.