A predicting tool for kidney function recovery after drug-induced acute interstitial nephritis

被引:0
作者
Caravaca-Fontan, Fernando [1 ]
Alonso-Riano, Marina [2 ]
Shabaka, Amir [3 ]
Villacorta, Javier [4 ]
de Lorenzo, Alberto [5 ]
Quintana, Luis F. [6 ]
Rodriguez, Eva [7 ]
Gadola, Liliana [8 ]
Cobo, Maria angeles [9 ]
Oliet, Aniana [10 ]
Sierra-Carpio, Milagros [11 ]
Cobelo, Carmen [12 ]
Iglesias, Elena [13 ]
Cordon, Alfredo [14 ]
Praga, Manuel [15 ]
Fernandez-Juarez, Gema [3 ]
Spanish Grp Study Glomerular Dis GLOSEN
机构
[1] Inst Invest Hosp 12 Octubre imas12, Dept Nephrol, Madrid, Spain
[2] Hosp Univ 12 Octubre, Dept Pathol, Madrid, Spain
[3] Hosp Univ La Paz, Dept Nephrol, Madrid, Spain
[4] Hosp Univ Ramon & Cajal, Dept Nephrol, Madrid, Spain
[5] Hosp Univ Getafe, Dept Pathol, Getafe, Spain
[6] Univ Barcelona, Hosp Clin Barcelona, Dept Nephrol, IDIBAPS, Barcelona, Spain
[7] Hosp Mar, Dept Nephrol, Barcelona, Spain
[8] Univ Republica, Hosp Clin, Dept Nephrol, Montevideo, Uruguay
[9] Hosp Univ Gen Canarias, Dept Nephrol, Tenerife, Spain
[10] Hosp Severo Ochoa, Dept Nephrol, Madrid, Spain
[11] Hosp San Pedro, Dept Nephrol, Logrono, Spain
[12] Hosp Univ Lugus Ausguti, Dept Nephrol, Lugo, Spain
[13] Complejo Hosp Univ Orense, Dept Nephrol, Orense, Spain
[14] Hosp Univ Fdn Alcorcon, Dept Nephrol, Madrid, Spain
[15] Univ Complutense Madrid, Dept Med, Madrid, Spain
关键词
acute interstitial nephritis; drug-induced; interstitial fibrosis; nomogram; recovery kidney function; CORTICOSTEROIDS; OUTCOMES;
D O I
10.1093/ndt/gfaf037
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
Background Drug-induced acute interstitial nephritis (DI-AIN) represents a common cause of acute kidney injury. Early withdrawal of the culprit drug and corticosteroid therapy remains the mainstay of treatment. This study aimed to develop and validate a predictive nomogram to assess the probability of recovery of kidney function at 6 months after treatment. Methods A multicenter, retrospective, observational study was conducted in 13 nephrology departments. Patients with biopsy proven DI-AIN treated with corticosteroids between 1996 and 2023 were included. The dataset was randomly divided into training (n = 164) and validation (n = 60) sets. Least absolute shrinkage and selection operator regression was used to screen the main predictors of complete (creatinine increase <25% of the last value before DI-AIN) or no recovery of kidney function (serum creatinine >= 75% or need for dialysis). Results The study group comprised 224 patients with DI-AIN: 51 (31%) in the training group and 19 (32%) in the validation set achieved complete recovery at 6 months. Conversely, 33 (20%) and 8 (13%) patients in the two sets showed no recovery at 6 months. Clinical characteristics were well balanced between training and validation sets. The selected variables were age (under/above 65 years), gender, degree of interstitial fibrosis and time to corticosteroid initiation (under/above 7 days). Based on a multivariable logistic regression model, a nomogram was developed. The area under the curve of the nomogram was 0.79 (95% confidence interval 0.71-0.88), indicating good discriminative power. Bootstrap self-sampling was performed 1000 times for validation of the model. A calibration plot revealed that the predicted outcomes aligned well with the observations. Decision curve analysis suggested that the model had clinical benefit. Conclusions We developed and validated a nomogram to predict kidney recovery at 6 months in DI-AIN patients treated with corticosteroids. This tool helps clinicians estimate prognosis and optimize corticosteroid therapy's intensity and duration for better treatment outcomes.
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