The effect of COVID 19 vaccination on kidney recipients

Health Systems Preparedness for Infectious Disease Outbreaks: Relevance for Nephrology

The coronavirus disease (COVID-19) crisis glaringly highlighted the critical need to develop resilient health care systems that are better prepared for epidemics. Millions of people died from COVID-19 itself, but almost three times as many died from health system disruptions. People living with kidney disease are highly vulnerable during outbreaks and pandemics and their needs must be included in preparedness planning. Health systems preparedness requires not only early identification and containment of outbreaks and maintenance of critical services during crises, but also bolstering population resilience and ensuring the safety of both health personnel and patients. Planning for surge capacity in an outbreak must include provision for both acute and chronic dialysis, and ensure access to medications for people with kidney diseases. Quality of care should not be compromised and must be monitored and improved where necessary. Technology, such as telemedicine, can support quality and continuity of care and minimize infection risks. Communication at all levels is crucial to ensure all stakeholders, including communities, have the necessary information to support cooperation and collaboration in effective outbreak responses. Research is important during and after pandemics to improve knowledge and build resilience at all levels, from outbreak detection to the development of therapeutics and optimizing equity in access to interventions. Only with adequate preparation and more resilient health systems can we hope, as a global community, to build on the harsh lessons learned during COVID-19, and improve the response to the next infectious disease outbreak, epidemic, or even pandemic.

Is there any relationship between red blood cell distribution width and prognosis of brain death?

Background

Accumulating evidence has demonstrated that RDW (red blood cell distribution width) may independently predict clinically important outcomes in many populations. However, the role of RDW has not been elucidated in brain death. We conducted this study with the aim of evaluating the predictive value of RDW in brain death.

Methods

A retrospective study of seventy-seven of brain death cases during 36 months were evaluated at university hospitals, affiliated in Tehran, Iran. Demographical data include age, sex, BMI and cause of brain death, also laboratory results (red blood cell distribution, mean corpuscular volume, hemoglobin) collected by checklists from patient records. Having the three RDW measurements (days of hospital admission, day of brain death, and day of cardiac arrest) required.

Results

Time interval from hospital admission until brain death was 5.27±4.07. The mean age of brain death cases was 32.65±16.53. The mean RDW values on days of hospital admission, the day of brain death, and the day of cardiac arrest were 14.53±1.98, 15.12±1.93 and 15.18±2.07, respectively. Results of the repeated-measures ANOVA test reveal that RDW level was constantly higher in the traumatic patient group compared to the non-traumatic ones (P=0.008).

Conclusion

The frequency of brain death was high in patients with high RDW values. RDW might be a prognostic biomarker for brain death. More prospective studies with large sample size and long follow-up period should be carried out to determine the prognostic significance of RDW and brain death in future.