• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

PLoS One . Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death

tetano

Editor, Senior Moderator
PLoS One


. 2025 Oct 24;20(10):e0333881.
doi: 10.1371/journal.pone.0333881. eCollection 2025. Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death

Stuart Stewart[SUP] 1 2 3 [/SUP], Philip A Kalra[SUP] 1 3 [/SUP], Evangelos Kontopantelis[SUP] 2 [/SUP], Tom Blakeman[SUP] 2 4 [/SUP], George Tilston[SUP] 5 [/SUP], Smeeta Sinha[SUP] 1 3 [/SUP]



Affiliations
Abstract

Background: Patients with biochemical evidence of chronic kidney disease (CKD) without a diagnostic code (uncoded CKD) in primary care are at increased risk of death, acute kidney injury (AKI), and unplanned hospital care. Uncoded CKD is highly prevalent and there is no data to evaluate whether patients with uncoded CKD were at an increased risk of COVID-19 death. Aim: to assess whether patients with uncoded CKD stages 3-5 were at increased risk of death and COVID-19 deaths.
Methods: Descriptive and inferential analyses to measure adjusted hazard of death, and COVID-19 death in patients with CKD stages 3-5 from 2.85 million primary care patients in Greater Manchester, England. Sensitivity analyses using propensity score matching and competing risk regression.
Results: Coded CKD stages 3 and 4 (versus uncoded) were associated with significantly lower adjusted hazards of death (HR 0.81, CIs 0.77-0.86, p=<0.0001; HR 0.45, CIs 0.34-0.60, p=<0.0001, respectively), and COVID-19 death (HR 0.74, CIs 0.55-0.99, p = 0.03; HR 0.55, CIs 0.30-0.99, p = 0.045, respectively). Descriptive analyses were conducted for patients with CKD stage 5 due to low numbers of patients with uncoded CKD stage 5, precluding survival analyses.
Conclusion: Our retrospective cohort study suggests that clinical coding is a digital intervention associated with a lower adjusted hazard of death and COVID-19 death in patients with CKD stages 3 and 4, and should be considered a key element in the organisation and delivery of care for people with CKD.


 
Back
Top Bottom