An updated systematic review of the risk factors for unplanned dialysis initiation.

Background: Previously, a comprehensive review of the risk factors for unplanned dialysis initiation (UDI) was conducted by Hassan (2019), based on studies published up to the end of 2017. They demonstrated that high-quality data and well-designed studies on the subject are lacking. Thus we updated their review to establish the modifiable factors associated with UDI.

Impact of 5 waves of COVID-19 on pediatric ophthalmology.

Objective: To characterize the impact of multiple waves of COVID-19 on pediatric ophthalmology at a tertiary care hospital.

Methods: Medical records were reviewed from pediatric patients seen for ophthalmic emergencies at the Montreal Children's Hospital (Montreal, Canada) from 5 COVID-19 periods: March 13 to May 31, 2020; September 20, 2020, to February 21, 2021; March 21 to May 31, 2021; August 17 to November 5, 2021; and December 19, 2021, to January 25, 2022, as well as 2 pre-COVID time periods: March 13 to May 31, in 2018 and 2019).

Results: There was a significant reduction in ophthalmic consultations when comparing pre-COVID to all 5 COVID waves (p < 0.

Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry.

Objective: To validate primary and secondary care codes in electronic health records to identify people receiving chronic kidney replacement therapy based on gold standard registry data.

Design: Validation study using data from OpenSAFELY and the UK Renal Registry, with the approval of NHS England.

Setting: Primary and secondary care electronic health records from people registered at 45% of general practices in England on 1 January 2020, linked to data from the UK Renal Registry (UKRR) within the OpenSAFELY-TPP platform, part of the NHS England OpenSAFELY covid-19 service.

Patient stratification using plasma cytokines and their regulators in sepsis: relationship to outcomes, treatment effect and leucocyte transcriptomic subphenotypes.

Rationale: Heterogeneity of the host response within sepsis, acute respiratory distress syndrome (ARDS) and more widely critical illness, limits discovery and targeting of immunomodulatory therapies. Clustering approaches using clinical and circulating biomarkers have defined hyper-inflammatory and hypo-inflammatory subphenotypes in ARDS associated with differential treatment response. It is unknown if similar subphenotypes exist in sepsis populations where leucocyte transcriptomic-defined subphenotypes have been reported.