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Enregistrement W3197872890 · doi:10.1016/j.ekir.2021.08.017

Characteristics and Outcomes of Survivors of Critical Illness and Acute Kidney Injury Followed in a Pilot Acute Kidney Injury Clinic

2021· article· en· W3197872890 sur OpenAlexafffundabout
Han Ly, Victor Ortiz-Soriano, Lucas J. Liu, Yulun Liu, Jin Chen, Alex R. Chang, Orlando M. Gutiérrez, Edward D. Siew, Ron Wald, Samuel A. Silver, Javier A. Neyra

Notice bibliographique

RevueKidney International Reports · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Kidney Injury Research
Établissements canadiensQueen's UniversityUniversity of TorontoSt. Michael's Hospital
Organismes subventionnairesNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health ResearchKidney Foundation of CanadaCanadian Society of NephrologyNational Institutes of HealthVanderbilt O’Brien Kidney CenterUniversity of KentuckyGlaxoSmithKline
Mots-clésMedicineAcute kidney injuryCritical illnessIntensive care medicinePhysical therapyEmergency medicineInternal medicineCritically ill

Résumé

récupéré en direct d'OpenAlex

Surviving critical illness and acute kidney injury (AKI) carries a burden of morbidity and mortality that may be affected by post-discharge care. However, only 5% to 10% of AKI survivors receive nephrology post-discharge care, despite observational studies suggesting an association between early nephrology follow-up and improved outcomes.1Siew E.D. Peterson J.F. Eden S.K. et al.Outpatient nephrology referral rates after acute kidney injury.J Am Soc Nephrol. 2012; 23: 305-312Crossref PubMed Scopus (133) Google Scholar, 2Harel Z. Wald R. Bargman J.M. et al.Nephrologist follow-up improves all-cause mortality of severe acute kidney injury survivors.Kidney Int. 2013; 83: 901-908Abstract Full Text Full Text PDF PubMed Scopus (163) Google Scholar, 3Wu V.C. Chueh J.S. Chen L. et al.Nephrologist follow-up care of patients with acute kidney disease improves outcomes: Taiwan experience.Value Health. 2020; 23: 1225-1234Abstract Full Text Full Text PDF PubMed Scopus (9) Google Scholar Currently, there are no evidence-based care practices for the evaluation and management of survivors of AKI in outpatient settings. Despite the fact that experts recommend that AKI survivors have their kidney function evaluated within 3 months of discharge to determine kidney recovery, up to one-third of AKI survivors have no measurements of kidney function within this time period, and only 6% have proteinuria assessment.4Matheny M.E. Peterson J.F. Eden S.K. et al.Laboratory test surveillance following acute kidney injury.PLoS One. 2014; 9e103746Crossref PubMed Scopus (24) Google Scholar Therefore, the development and implementation of comprehensive models of post-AKI care represent an opportunity to have a favorable impact on the evaluation and, possibly, outcomes of AKI survivors. In this context, the main objective of this study was to examine characteristics and outcomes of survivors of critical illness and AKI followed in a pilot model of an AKI clinic in reference to survivors followed under usual care. Clinical characteristics of 72 survivors of critical illness and AKI followed in the AKI Clinic and 573 survivors followed under usual care after discharge are presented in Table 1. The AKI survivors followed in the AKI Clinic had higher peak serum creatinine (SCr) (median 5.6 [4.8−7.5] vs. 2.6 [1.9−3.8] mg/dl, P < 0.001), had higher discharge SCr (median 1.8 [1.3−2.9] vs. 1.1 [0.8−1.6] mg/dl, P < 0.001), and more frequently required renal replacement therapy (RRT) (61.1% vs. 8.4%, P < 0.001) when compared with AKI survivors followed under usual care. The median time from hospital discharge to first SCr evaluation was similar in survivors of AKI followed in the AKI Clinic and in those followed under usual care (24.3 [12.4−50] days vs. 17 [5.1−49.9] days, respectively, P = 0.40).Table 1Characteristics of survivors of critical illness and AKI followed in the AKI Clinic versus those followed under usual careCharacteristicAKI clinic n = 72Usual care n = 573P valueAge, yr52.7 ± 14.556.3 ± 14.10.08Male, n (%)39 (54.2)315 (55.0)0.90Race, n (%)0.15 White66 (91.7)509 (88.8) Black4 (5.6)51 (8.9) Other2 (2.8)13 (2.3)Charlson Comorbidity Index score2.0 [1.0–4.0]3.0 [1.0–5.0]0.17Diabetes, n (%)29 (40.3)222 (38.7)0.80Hypertension, n (%)39 (54.2)405 (70.7)0.01Mechanical ventilation, n (%)46 (63.9)264 (46.1)0.01Baseline SCr, mg/dl0.96 [0.8–1.2]0.87 [0.7–1.1]0.005Baseline eGFR, ml/min per 1.73 m277.8 [62.3–98.0]90.5 [64.1–104.8]0.04Peak SCr, mg/dl5.6 [4.8–7.5]2.6 [1.9–3.8]<0.001AKI KDIGO stage, n (%)<0.001 Stage 21 (1.4)298 (52.0) Stage 371 (98.6)275 (48.0)Total days of AKI16.0 [8.8–28.0]4.0 [2.0–9.0]<0.001Recipient of RRT, n (%)44 (61.1)48 (8.4)<0.001Total days of RRT9.0 [3.0–17.5]10.0 [5.0–19.0]0.08Last SCr in the hospital, mg/dl1.8 [1.3–2.9]1.1 [0.8–1.6]<0.001Days from hospital discharge to first AKI Clinic visit37.0 [20.8–54.0]––––Days from hospital discharge to first post-discharge SCr24.3 [12.4–50.0]17.0 [5.1–49.9]0.40Number of outpatient SCr in the first 6 months post-discharge1.5 [1.0–2.0]3.0 [1.0–6.0]<0.001All continuous data are reported as median [25th−75th percentile], except for age which is reported as mean (SD).AKI, acute kidney injury; eGFR, estimated glomerular filtration rate; KDIGO, Kidney Disease: Improving Global Outcomes; RRT, renal replacement therapy; SCr, serum creatinine. Open table in a new tab All continuous data are reported as median [25th−75th percentile], except for age which is reported as mean (SD). AKI, acute kidney injury; eGFR, estimated glomerular filtration rate; KDIGO, Kidney Disease: Improving Global Outcomes; RRT, renal replacement therapy; SCr, serum creatinine. Clinical outcomes in both survivor groups are reported in Table 2. Rehospitalization at 6 months post-discharge was a frequent outcome in these patients, occurring in 170 of 645 (26.4%) of all AKI survivors. Only 17 patients (2.6%) died during follow-up, 5 patients (0.8%) without rehospitalization. Rehospitalization/death at 6 months post-discharge trended to occur less frequently, albeit not statistically significantly, in patients followed in the AKI Clinic (14/72 patients [19.4%]) versus those followed under usual care (156/573 [27.2%]) (P = 0.20) (Table 2). Overall, more rehospitalization events occurred in the first 1 to 3 months (105 events) than in the subsequent 3 to 6 months (65 events) (Supplementary Table S1). The time to first rehospitalization was not different in both groups of AKI survivors (Supplementary Table S2). In multivariable analysis, follow-up in the AKI Clinic (vs. usual care) was independently associated with a lower risk of rehospitalization/death at 6 months post-discharge (adjusted odds ratio = 0.46, 95% confidence interval = 0.23−0.88, P = 0.024) (Supplementary Table S3). The main causes of the first rehospitalization at 6 months post-discharge are reported in Supplementary Table S4. Notably, common causes of rehospitalization in both groups were related to sepsis and cardiovascular disease. Adjusted probabilities of rehospitalization/death were 10% vs. 16% at 1 to 3 months and 8% vs. 10% at 3 to 6 months in AKI survivors followed in the AKI Clinic vs. those followed under usual care, respectively (Supplementary Figure S1).Table 2Clinical outcomes of survivors of critical illness and AKI followed in the AKI clinic versus those followed under usual careStudy outcomesAKI clinic n = 72Usual care n = 573P valuePrimary outcome Death or rehospitalization at 6 mo post-discharge14 (19.4)156 (27.2)0.20Secondary outcomes Death or rehospitalization at 3 mo post-discharge8 (11.1)97 (16.9)0.24 Death at 6 mo post-discharge2 (2.8)15 (2.6)0.99 Death or ESKD at 6 mo post-discharge2 (2.8)18 (3.1)0.99 eGFR decline ≥30% from baseline using last outpatient SCr 3−6 months post-dischargeaThe use of this timepoint SCr was determined to avoid misclassification during the period of AKD (up to 90 days post−AKI onset) and was determined only for patients with at least 1 SCr measure at 3 to 6 months post-discharge.6/72 (8.3)29/279 (10.4)0.83Rehospitalization with AKI episode at 6 months post-discharge4 (5.6)68 (11.9)0.16 AKI stage 1241 AKI stage 2112 AKI stage 3115Data are n (%).AKI, acute kidney injury; eGFR, estimated glomerular filtration rate; ESKD, end-stage kidney disease.a The use of this timepoint SCr was determined to avoid misclassification during the period of AKD (up to 90 days post−AKI onset) and was determined only for patients with at least 1 SCr measure at 3 to 6 months post-discharge. Open table in a new tab Data are n (%). AKI, acute kidney injury; eGFR, estimated glomerular filtration rate; ESKD, end-stage kidney disease. In Supplementary Figure S2, we describe specific medication-related processes of care in AKI survivors who were followed in the AKI Clinic. We also simulated sample size estimates for clinical trials targeting AKI Clinic−related interventions to decrease rehospitalizations (Supplementary Table S5). The potential impact of nephrologist-guided post-AKI care was demonstrated in an observational study showing lower all-cause mortality (8.4 vs. 10.6 per 100-patient years) when survivors of RRT-requiring AKI were seen by a nephrologist within 90 days of discharge, compared to matched AKI survivors without nephrology follow-up.2Harel Z. Wald R. Bargman J.M. et al.Nephrologist follow-up improves all-cause mortality of severe acute kidney injury survivors.Kidney Int. 2013; 83: 901-908Abstract Full Text Full Text PDF PubMed Scopus (163) Google Scholar Among patients with AKI requiring RRT who recovered, only 37% of patients in a Taiwan cohort had nephrology follow-up, which was associated with decreased risk of cardiovascular events, sepsis, and mortality.3Wu V.C. Chueh J.S. Chen L. et al.Nephrologist follow-up care of patients with acute kidney disease improves outcomes: Taiwan experience.Value Health. 2020; 23: 1225-1234Abstract Full Text Full Text PDF PubMed Scopus (9) Google Scholar Studies have also described poor patient knowledge and awareness of AKI among AKI survivors. Surprisingly, 80% of AKI survivors were unaware of their condition by the time of discharge, and 21% were unaware of their AKI diagnosis at the first AKI Clinic visit.5Siew E.D. Parr S.K. Wild M.G. et al.Kidney disease awareness and knowledge among survivors ofacute kidney injury.Am J Nephrol. 2019; 49: 449-459Crossref PubMed Scopus (15) Google Scholar,6Ortiz-Soriano V. Alcorn 3rd, J.L. Li X. et al.A survey study of self-rated patients' knowledge about AKI in a post-discharge AKI clinic.Can J Kidney Health Dis. 2019; 6 (2054358119830700)Crossref PubMed Scopus (9) Google Scholar The AKI survivors were also shown to be at higher risk for rehospitalization than their counterparts without AKI. A population-based study showed that 18% of AKI survivors were readmitted within the first 30 days of discharge.7Silver S.A. Harel Z. McArthur E. et al.30-Day readmissions after an acute kidney injury hospitalization.Am J Med. 2017; 130: 163-172Abstract Full Text Full Text PDF PubMed Scopus (47) Google Scholar Post-AKI care requires comprehensive medication management and coordination of care. In a study of AKI survivors attending AKI clinics, it was found that renin−angiotensin−aldosterone system inhibitors (RAASi) are commonly discontinued in the setting of hospitalized AKI, and that acute exposure to RAASi during hospitalization does not appear to increase the risk of persistent kidney dysfunction at 3 months post-discharge.8Hines A. Li X. Ortiz-Soriano V. et al.Use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers and acute kidney disease after an episode of AKI: a multicenter prospective cohort study.Am J Nephrol. 2020; 51: 266-275Crossref PubMed Scopus (12) Google Scholar Another study showed that among survivors with and without AKI during hospitalization, exposure to RAASi evaluated at 3 months post-discharge was not associated with a higher risk of recurrent hospitalized AKI, death, kidney disease progression, or heart failure events during a median follow-up of 4.9 years.9Brar S. Liu K.D. Go A.S. et al.Prospective cohort study of renin-angiotensin system blocker usage after hospitalized acute kidney injury.Clin J Am Soc Nephrol. 2020; 16: 26-36Crossref PubMed Scopus (3) Google Scholar Reinstitutions of RAASi should be considered in specific settings in which benefits have been demonstrated (e.g., heart failure, recent myocardial infarction, proteinuric chronic kidney disease). In our study, approximately 1 in 3 AKI survivors followed in the AKI Clinic received an intervention related to the management of RAASi or diuretics (Supplementary Figure S2). Our study has limitations to acknowledge. First, this is an observational study from a single institution that cannot prove the benefit of nephrologist-guided post-AKI care (vs. usual care) in the reduction of rehospitalizations after discharge. Second, the usual care group was derived from a cohort of critical illness survivors who may have been subject to evolving change in post−intensive care unit and/or post-AKI care. However, we restricted this cohort to survivors of critical illness and AKI who were discharged from the hospital before the pilot AKI Clinic was implemented at the same institution. It is still possible that some of these patients were referred to nephrology by their primary care providers at some point after discharge. Third, our observations can be extrapolated to only a subset of AKI survivors, those who had severe AKI (stage ≥2) and required intensive care unit care. Our study has also notable strengths. First, we applied specific inclusion and exclusion criteria to examine survivors of critical illness and AKI who were followed in the AKI Clinic, as well as those who received usual care after hospital discharge but may have been eligible for follow-up in the AKI Clinic in the event that this clinic was already implemented (e.g., we excluded patients discharged to rehabilitation facilities) (Supplementary Figure S3). Second, our study was carefully designed to address immortal time bias by excluding patients in both groups (AKI Clinic and usual care) with primary outcomes occurring in the first month after hospital discharge. This was done because patients were followed in the AKI Clinic according to protocol within the first 4 weeks of hospital discharge. In conclusion, our study showed that follow-up in a specialized AKI clinic was associated with a lower risk of rehospitalization in the first 6 months post-discharge when compared to usual care in survivors of critical illness and severe AKI. We also showed that the implementation of AKI clinics may represent a feasible intervention that could potentially improve outcomes in survivors of AKI who were admitted to the intensive care unit. Our data support conducting interventional studies to test the efficacy of AKI clinics on the prevention of rehospitalizations following discharge in high-risk groups of AKI survivors. JAN reports consulting fees from Baxter Healthcare and Biomedical Insights. OMG reports receiving honoraria and grant support from Akebia and Amgen; grant support from GSK; consulting fees from QED; and honoraria from AstraZeneca, Reata, and Ardelyx. SAS has received speaking fees from Baxter Canada. EDS reports consulting fees from Akebia Therapeutics 4/19, receiving royalties from UptoDate, and serving on the editorial board for the Clinical Journal of the American Society of Nephrology. JAN is currently supported by grants from NIDDK (R56 DK126930 and P30 DK079337). SAS is supported by a Kidney Research Scientist Core Education and National Training (KRESCENT) Program New Investigator Award (co-funded by the Kidney Foundation of Canada, Canadian Society of Nephrology, and Canadian Institutes of Health Research). EDS was supported in this work by NIH P30DK079331-12S1 and the Vanderbilt O’Brien Kidney Center Clinical and Translational Core NIH P30-DK114809. The authors would like to thank all healthcare professionals contributing to the daily operations of the AKI Clinic at the University of Kentucky. LJL and JAN designed the study; HL and VOS collected and validated the data; HL, LJL, and YL contributed to different portions of the statistical analysis; HL and JAN drafted the manuscript; all authors reviewed the manuscript and contributed important intellectual portions of the study; all authors approved the final version of the manuscript. Data and materials may be made available upon written request to the corresponding author. Download .docx (.46 MB) Help with docx files Supplementary File (Word) Supplementary Text Table S1. Table S2. Table S3. Table S4. Table S5. Table S6. Figure S1. Figure S2. Figure S3. CONSORT Statement

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,030
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,030
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,372
Écart entre enseignants0,350 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

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Citations16
Publié2021
Routes d'admission3
Résumé présentoui

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