MO502: Use of Lithium, Valproate and the Risk of Acute or Chronic Kidney Disease: An Observational Study From Routine Care Data
Notice bibliographique
Résumé
Abstract BACKGROUND AND AIMS Lithium is an established treatment for bipolar disorder and treatment-resistant depression. Despite awareness of potential kidney damage, there is a lack of research evidence to inform on the existence and magnitude of the risk. Observational studies to date show conflicting findings, possibly explained by inadequate control populations, prevalent user bias and a lack of information on kidney function or serum lithium levels. METHOD We conducted a cohort study to compare kidney outcomes in adults who started lithium or valproate therapy in Stockholm, Sweden, during 2007–18. Within lithium users, we also compared outcomes by average serum lithium concentrations during the first year of therapy. Kidney outcomes were CKD progression (composite of >30% eGFR decline and kidney failure) and AKI (by diagnosis or KDIGO transient creatinine elevations). Propensity score weighted Cox regression was used to estimate hazard ratios with [95% confidence intervals (95% CI)] and balance 46 identified confounders. Complete collection of repeated dispensations at Swedish pharmacies allowed modelling of the time-dependent risk associated with cumulative lithium exposure. Sensitivity analyses included restricting to patients with a diagnosis of bipolar disorder, apply a 1-year lag, use of alternative weighting methods and evaluation of eGFR monitoring rates to ascertain surveillance bias between groups. RESULTS We included 16 645 individuals, of whom 5308 initiated lithium and 5638 valproate therapy. Their median age was 45 years (57% women) and median eGFR was 99 mL/min/1.73 m2. A total of 179 CKD progression events and 234 AKI were identified during a median of follow-up of 4.3 and 4.2 years, respectively. After propensity score weighting, the adjusted hazard ratio for the risk of CKD progression was 1.12 (95% CI 0.86–1.47) and for AKI 0.88 (95% CI 0.7–1.09). There was a weak, non-statistically significant association between cumulative exposure to lithium and the risk of CKD progression that was not observed for cumulative use of valproate. Results were consistent among patients with a bipolar disorder diagnosis and robust to 1-year lag or alternative weighing methods. A total of 3913 lithium users were on therapy for at least one year and underwent routine serum lithium monitoring. Compared with patients with average serum lithium levels <1.0 mEq/L, those with serum lithium ≥1.0 mEq/L (n = 270) were at a higher risk of both CKD progression (HR: 2.18; 1.28–3.71) and AKI (HR: 1.37; 0.81–2.34). CONCLUSION In this analysis of patients from routine clinical practice, the risk of kidney outcomes associated with lithium therapy did not differ from that of valproate. Modest risk magnitudes need to be offset with the effectiveness and anti-suicidal benefits of lithium. However, elevated serum lithium levels strongly predicting kidney risk, emphasizing the need for close monitoring and lithium dose-adjustment.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».