From past to present: Exploring COVID-19 in Qatar's hemodialysis population across Omicron dominant and pre-Omicron periods.

COVID-19 carries a high risk of morbidity and mortality in dialysis patients. Multiple SARS-CoV-2 variants have been identified since the start of the COVID-19 pandemic. The current study aimed to compare the incidence and outcomes of the COVID-19 Omicron dominant period versus other pre-Omicron period in hemodialysis patients. In this observational, analytical, retrospective, nationwide study, we reviewed adult chronic hemodialysis patients between March 1, 2020, and January 31, 2022. Four hundred twenty-one patients had COVID-19 during the study period. The incidence of COVID-19 due to the Omicron dominant period was significantly higher than other pre-Omicron period (30.3% vs. 18.7%, P<0.001). In contrast, the admission rate to ICU was significantly lower in the Omicron dominant period than in the pre-Omicron period (2.8% vs. 25%, P<0001) but with no significant difference in ICU length of stay. The mortality rate was lower in the Omicron dominant period compared to the pre-Omicron period (2.4% vs. 15.5%, P<0.001). Using multivariate analysis, older age [OR 1.093 (95% CI 1.044-1.145); P<0.0001] and need for mechanical ventilation [OR 70.4 (95% CI 20.39-243.1); P<0.0001] were identified as two independent risk factors for death in hemodialysis patients with COVID-19. In Conclusion, the COVID-19 Omicron variant had a higher incidence and lower morbidity and mortality than pre-Omicron period in our hemodialysis population.

Mortality and associated risk factors of COVID-19 infection in dialysis patients in Qatar: A nationwide cohort study.

CONTEXT: Patients on maintenance dialysis are more susceptible to COVID-19 and its severe form. We studied the mortality and associated risks of COVID-19 infection in dialysis patients in the state of Qatar. METHODS: This was an observational, analytical, retrospective, nationwide study. We included all adult patients on maintenance dialysis therapy who tested positive for COVID-19 (PCR assay of the nasopharyngeal swab) during the period from February 1, 2020, to July 19, 2020. Our primary outcome was to study the mortality of COVID-19 in dialysis patients in Qatar and risk factors associated with it. Our secondary objectives were to study incidence and severity of COVID-19 in dialysis patients and comparing outcomes between hemodialysis and peritoneal dialysis patients. Patient demographics and clinical features were collected from a national electronic medical record. Univariate Cox regression analysis was performed to evaluate potential risk factors for mortality in our cohort. RESULTS: 76 out of 1064 dialysis patients were diagnosed with COVID-19 (age 56±13.6, 56 hemodialysis and 20 peritoneal dialysis, 56 males). During the study period, 7.1% of all dialysis patients contracted COVID-19. Male dialysis patients had double the incidence of COVID-19 than females (9% versus 4.5% respectively; p<0.01). The most common symptoms on presentation were fever (57.9%), cough (56.6%), and shortness of breath (25%). Pneumonia was diagnosed in 72% of dialysis patients with COVID-19. High severity manifested as 25% of patients requiring admission to the intensive care unit, 18.4% had ARDS, 17.1% required mechanical ventilation, and 14.5% required inotropes. The mean length of hospital stay was 19.2 ± -12 days. Mortality due to COVID-19 among our dialysis cohort was 15%. Univariate Cox regression analysis for risk factors associated with COVID-19-related death in dialysis patients showed significant increases in risks with age (OR 1.077, CI 95%(1.018-1.139), p = 0.01), CHF and COPD (both same OR 8.974, CI 95% (1.039-77.5), p = 0.046), history of DVT (OR 5.762, CI 95% (1.227-27.057), p = 0.026), Atrial fibrillation (OR 7.285, CI 95%(2.029-26.150), p = 0.002), hypoxia (OR: 16.6; CI 95%(3.574-77.715), p = <0.001), ICU admission (HR30.8, CI 95% (3.9-241.2), p = 0.001), Mechanical ventilation (HR 50.07 CI 95% (6.4-391.2)), p<0.001) and using inotropes(HR 19.17, CI 95% (11.57-718.5), p<0.001). In a multivariate analysis, only ICU admission was found to be significantly associated with death [OR = 32.8 (3.5-305.4), p = 0.002)]. CONCLUSION: This is the first study to be conducted at a national level in Qatar exploring COVID-19 in a dialysis population. Dialysis patients had a high incidence of COVID-19 infection and related mortality compared to previous reports of the general population in the state of Qatar (7.1% versus 4% and 15% versus 0.15% respectively). We also observed a strong association between death related to COVID-19 infection in dialysis patients and admission to ICU.

The National Early Warning Score and its subcomponents recorded within ±24 h of emergency medical admission are poor predictors of hospital-acquired acute kidney injury.

Hospital-acquired acute kidney injury (H-AKI) is a common cause of avoidable morbidity and mortality. Therefore, in the current study, we investigated whether vital signs data from patients, as defined by a National Early Warning Score (NEWS), can predict H-AKI following emergency admission to hospital. We analysed all emergency admissions (n=33,608) to York Hospital with NEWS data over a 24-month period. Here, we report the area under the curve (AUC) for logistic regression models that used the index NEWS (model A0), plus age and sex (A1), plus subcomponents of NEWS (A2) and two-way interactions (A3), and similarly for maximum NEWS (models B0,B1,B2,B3). Of the total emergency admissions, 4.05% (1,361/33,608) had H-AKI. Models using the index NEWS had lower AUCs (0.59-0.68) than models using the maximum NEWS AUCs (0.75-0.77). The maximum NEWS model (B3) was more sensitive than the index NEWS model (A0) (67.60% vs 19.84%) but identified twice as many cases as being at risk of H-AKI (9581 vs 4099) at a NEWS of 5. Based on these results, we suggest that the index NEWS is a poor predictor of H-AKI. The maximum NEWS is a better predictor but appears to be unfeasible because it is only knowable in retrospect and is associated with a substantial increase in workload, albeit with improved sensitivity.

The Use of Automated Electronic Alerts in Studying Short-Term Outcomes Associated with Community-Acquired Acute Kidney Injury.

BACKGROUND/AIMS: The use of electronic alerts (e-alerts) may increase the detection rate of acute kidney injury (AKI) since they are sensitive to small changes in serum creatinine. Our aim was to follow-up a cohort of patients presenting to hospital from the community with AKI (community-acquired AKI [c-AKI]), detected through the use of e-alerts, and describe their short-term outcomes regardless of whether they were subsequently admitted to hospital. METHODS: Blood samples for all hospital attenders from the community either to the Accidents and Emergency department or one of the acute care areas of the hospital during a 6-month period (November 1, 2013-April 30, 2014) were screened for presence of c-AKI using a locally developed e-alerts system based on Kidney Disease: Improving Global Outcomes criteria. Follow-up data were obtained for a period of 3 months. RESULTS: A total of 1,277 c-AKI episodes were identified in 1,185 patients (incidence 579 per 100,000 persons). Episodes that lead to hospitalization (n = 1,096 [86%]) were associated with a median length of hospital stay of 6.6 days; a graded increase in duration of stay was noted with increasing severity of AKI. Acute dialysis was needed during 21 (1.6%) episodes. For mortality rates, only the first AKI episode was considered. There were 298 deaths within 30 days of diagnosis irrespective of admissions status (30-day mortality rate: 25%). CONCLUSIONS: Using e-alerts in acute care settings to detect c-AKI is novel and may be used to stage and follow-up AKI using existing diagnostic criteria. c-AKI is relatively common and leads to significant mortality.