Patient Management and Clinical Outcomes Associated with a Recorded Diagnosis of Stage 3 Chronic Kidney Disease: The REVEAL-CKD Study.

INTRODUCTION: Guidelines for the treatment of chronic kidney disease (CKD) recommend early intervention and management to slow disease progression. However, associations between diagnosis and CKD progression are not fully understood. METHODS: REVEAL-CKD (NCT04847531) is a retrospective observational study of patients with stage 3 CKD. Data were extracted from the US TriNetX database. Eligible patients had two consecutive estimated glomerular filtration rate (eGFR) measurements indicative of stage 3 CKD (≥ 30 and < 60 ml/min/1.73 m2) recorded 91-730 days apart from 2015 to 2020. Diagnosed patients were included if their first CKD diagnosis code was recorded at least 6 months after their second qualifying eGFR measurement. We assessed CKD management and monitoring practices for the 180 days before and after CKD diagnosis, annual eGFR decline in the 2 years before and after CKD diagnosis, and associations between diagnostic delay and post-diagnosis event rates. RESULTS: The study included 26,851 patients. After diagnosis, we observed significant increases in the prescribing rate of guideline-recommended medications such as angiotensin-converting enzyme inhibitors (rate ratio [95% confidence interval]: 1.87 [1.82, 1.93]), angiotensin receptor blockers (1.91 [1.85, 1.97]) and mineralocorticoid receptor antagonists (2.23 [2.13, 2.34]). Annual eGFR decline was significantly reduced following a CKD diagnosis, from 3.20 ml/min/1.73 m2 before diagnosis to 0.74 ml/min/1.73 m2 after diagnosis. Delayed diagnosis (by 1-year increments) was associated with elevated risk of CKD progression to stage 4/5 (1.40 [1.31-1.49]), kidney failure (hazard ratio [95% confidence interval]: 1.63 [1.23-2.18]) and the composite of myocardial infarction, stroke and hospitalization for heart failure (1.08 [1.04-1.13]). CONCLUSIONS: A recorded CKD diagnosis was associated with significant improvements in CKD management and monitoring practices and attenuated eGFR decline. Recorded diagnosis of stage 3 CKD is an important first step to reduce the risk of disease progression and minimize adverse clinical outcomes. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT04847531.

Chronic kidney disease (CKD) is a long-term condition in which the function of the kidneys is reduced. Kidney function is monitored using a measurement called the estimated glomerular filtration rate. CKD can be separated into stages of severity, ranging from 1 (mild) to 5 (severe), using estimated glomerular filtration rate. Mild to moderate CKD (stages 1­3) is difficult to diagnose because there are usually no symptoms. In this study from the REVEAL-CKD programme, we looked at the effects of having undiagnosed stage 3 (moderate) CKD and examined how a CKD diagnosis affects disease management and worsening of the condition. Using a database of medical records for patients in the USA called TriNetX, we looked at data from over 26,000 patients with stage 3 CKD who were identified using estimated glomerular filtration rate measurements. We found that healthcare teams prescribed significantly more guideline-recommended medications and did more clinical monitoring in the 180 days after a CKD diagnosis than they did before the diagnosis. Additionally, the rate of decline in kidney function slowed after a CKD diagnosis. Delaying diagnosis by 1 year increased the risk of deterioration of the condition by 40%, the risk of needing a kidney transplant or long-term dialysis treatment by 63% and the risk of major heart and blood vessel diseases (known as cardiovascular events) by 8%. Our findings suggest that diagnosis of stage 3 CKD is an important first step to reduce the risk of the disease worsening and other complications. Video Abstract (MP4 82773 KB).

The incidence of Kawasaki disease using hospital admissions data for England 2006-2021.

OBJECTIVE: To describe the incidence of Kawasaki Disease (kDa) between 2006 and 2021 in England. METHODS: We identified all cases in hospital episode statistics with an ICD-10 diagnostic code M303 (for kDa) between 1 April 2006 and 31 March 2021. We validated 83 diagnoses using hospital medical records and found >97% accuracy. We calculated incidence rate ratios (IRRs) using Poisson regression and assessed the influence of age, sex, ethnicity and index of multiple deprivation (IMD). We used Office for National Statistics population estimates for England as the denominator. RESULTS: We identified a total of 5908 cases of kDa in all children under the age of 16 (mean age 3.8, s.d.=3.2, 95% CI: 3.7, 3.9). Incidence in children aged <5 years was 8.9 (95% CI: 8.6, 9.2)/100 000 person-years; in children aged 5-9, 2.4 (95% CI: 2.3, 2.6)/100 000 person-years; and in children aged 10-15, 0.6 (95% CI: 0.6, 0.7). Male : female ratio was 1.5 : 1. Incidence was higher among non-White than White ethnicities [adjusted IRR 2.1 (2.0-2.2) for Asian, 3.0 (2.8-3.3) for Black and 4.5 (4.2-4.8) for other ethnicities]. The incidence increased with socioeconomic deprivation; the adjusted IRR of the least deprived IMD quintile compared with the most deprived quintile was 0.81 (0.77-0.84). CONCLUSIONS: Incidence rates of kDa derived from hospital admission data in England were higher than in studies relying on clinician reporting. We confirm previous findings on the influence of sex and ethnicity on kDa incidence and observe that there was a higher incidence of kDa within more deprived socioeconomic groups.

Validation of methods to identify people with idiopathic inflammatory myopathies using hospital episode statistics.

Objective: Hospital episode statistics (HES) are routinely recorded at every hospital admission within the National Health Service (NHS) in England. This study validates diagnostic ICD-10 codes within HES as a method of identifying cases of idiopathic inflammatory myopathies (IIMs). Methods: All inpatient admissions at one NHS Trust between 2010 and 2020 with relevant diagnostic ICD-10 codes were extracted from HES. Hospital databases were used to identify all outpatients with IIM, and electronic care records were reviewed to confirm coding accuracy. Total hospital admissions were calculated from NHS Digital reports. The sensitivity and specificity of each code and code combinations were calculated to develop an optimal algorithm. The optimal algorithm was tested in a sample of admissions at another NHS Trust. Results: Of the 672 individuals identified by HES, 510 were confirmed to have IIM. Overall, the positive predictive value (PPV) was 76% and sensitivity 89%. Combination algorithms achieved PPVs between 89 and 94%. HES can also predict the presence of IIM-associated interstitial lung disease (ILD) with a PPV of 79% and sensitivity of 71%. The optimal algorithm excluded children (except JDM code M33.0), combined M33.0, M33.1, M33.9, M36.0, G72.4, M60.8 and M33.2, and included M60.9 only if it occurred alongside an ILD code (J84.1, J84.9 or J99.1). This produced a PPV of 88.9% and sensitivity of 84.2%. Retesting this algorithm at another NHS Trust confirmed a high PPV (94.4%). Conclusion: IIM ICD-10 code combinations in HES have high PPVs and sensitivities. Algorithms tested in this study could be applied across all NHS Trusts to enable robust and cost-effective whole-population research into the epidemiology of IIM.

Opioids and the Risk of Fracture: A Self-Controlled Case Series Study in the Clinical Practice Research Datalink.

Self-controlled study designs can be used to assess the association between exposures and acute outcomes while controlling for important confounders. Using routinely collected health data, a self-controlled case series design was used to investigate the association between opioid use and bone fractures in 2008-2017 among adults registered in the United Kingdom Clinical Practice Research Datalink. The relative incidence of fracture was estimated, comparing periods when these adults were exposed and unexposed to opioids, adjusted for time-varying confounders. Of 539,369 people prescribed opioids, 67,622 sustained fractures and were included in this study. The risk of fracture was significantly increased when the patient was exposed to opioids, with an adjusted incidence rate ratio of 3.93 (95% confidence interval (CI): 3.82, 4.04). Fracture risk was greatest in the first week of starting opioid use (adjusted incidence rate ratio: 7.81, 95% CI: 7.40, 8.25) and declined with increasing duration of use. Restarting opioid use after a gap in exposure significantly increased fracture risk (adjusted incidence rate ratio: 5.05, 95% CI: 4.83, 5.29) when compared with nonuse. These findings highlight the importance of raising awareness of fractures among patients at opioid initiation and demonstrate the utility of self-controlled methods for pharmacoepidemiologic research.

Prospective Study of Psychological Morbidity and Illness Perceptions in Young People With Inflammatory Bowel Disease.

BACKGROUND AND AIMS: Psychological morbidity is increased in young people with inflammatory bowel disease [IBD]. Illness perceptions may be an important factor. This study aimed to describe the prevalence and severity of psychological morbidity and to examine relationships between baseline illness perceptions and anxiety, depression, and health-related quality of life [HRQoL], at baseline and 12 months later, in 16-21 year olds with IBD. METHODS: IBD patients [n = 121] completed measures of anxiety, depression, HRQoL, and illness perceptions [IPQ-R] at baseline and follow-up [n = 100, 83%]. RESULTS: Among the 121 patients at baseline [median age 19.3 years, 40% female, 62% Crohn's disease, 73% in clinical remission], 55% reported elevated symptoms of anxiety/depression and 83% reported low HRQoL. Negative illness perceptions at baseline were significantly correlated with greater anxiety, depression, and lower HRQoL at baseline and follow-up. In regression analysis at baseline, the IPQ-R domain of greater perception of a cyclical nature of IBD was an independent predictor of anxiety, and a greater perceived emotional impact of IBD was an independent predictor of anxiety, depression, and HRQoL. Female gender and clinical relapse were also independent predictors of lower HRQoL. After controlling for baseline measures, clinical risk factors and illness perceptions did not explain additional variance in psychological morbidity at follow-up. CONCLUSIONS: A high prevalence of psychological morbidity, stable over 1 year, was demonstrated in young people with IBD. Having negative illness perceptions, being female, and having active disease predicted those at greatest risk of psychological morbidity. Illness perceptions may be an appropriate target for psychological interventions.