Risk score for first-screening of prevalent undiagnosed chronic kidney disease in Peru: the CRONICAS-CKD risk score

被引:6
作者
Carrillo-Larco, Rodrigo M. [1 ]
Miranda, J. Jaime [1 ,2 ]
Gilman, Robert H. [1 ,3 ,4 ]
Medina-Lezama, Josefina [5 ]
Chirinos-Pacheco, Julio A. [5 ]
Munoz-Retamozo, Paola V. [5 ]
Smeeth, Liam [6 ]
Checkley, William [1 ,7 ]
Bernabe-Ortiz, Antonio [1 ,6 ]
机构
[1] Univ Peruana Cayetano Heredia, CRONICAS Ctr Excellence Chron Dis, Ave Armendariz 497, Lima 18, Peru
[2] Univ Peruana Cayetano Heredia, Sch Med, Dept Med, Lima, Peru
[3] Johns Hopkins Univ, Dept Int Hlth, Bloomberg Sch Publ Hlth, Baltimore, MD USA
[4] Asociac Benef PRISMA, Area Invest & Desarrollo, Lima, Peru
[5] Univ Catolica Santa Maria, Arequipa, Peru
[6] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London, England
[7] Johns Hopkins Univ, Sch Med, Div Pulm & Crit Care, Baltimore, MD USA
基金
英国惠康基金; 美国国家卫生研究院;
关键词
Risk assessment; Kidney; Chronic kidney disease; Latin America; POPULATION; MODEL;
D O I
10.1186/s12882-017-0758-4
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: Chronic Kidney Disease (CKD) represents a great burden for the patient and the health system, particularly if diagnosed at late stages. Consequently, tools to identify patients at high risk of having CKD are needed, particularly in limited-resources settings where laboratory facilities are scarce. This study aimed to develop a risk score for prevalent undiagnosed CKD using data from four settings in Peru: a complete risk score including all associated risk factors and another excluding laboratory-based variables. Methods: Cross-sectional study. We used two population-based studies: one for developing and internal validation (CRONICAS), and another (PREVENCION) for external validation. Risk factors included clinical-and laboratory-based variables, among others: sex, age, hypertension and obesity; and lipid profile, anemia and glucose metabolism. The outcome was undiagnosed CKD: eGFR < 60 ml/min/1.73m(2). We tested the performance of the risk scores using the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, positive/negative predictive values and positive/negative likelihood ratios. Results: Participants in both studies averaged 57.7 years old, and over 50% were females. Age, hypertension and anemia were strongly associated with undiagnosed CKD. In the external validation, at a cut-off point of 2, the complete and laboratory-free risk scores performed similarly well with a ROC area of 76.2% and 76.0%, respectively (P = 0.784). The best assessment parameter of these risk scores was their negative predictive value: 99.1% and 99.0% for the complete and laboratory-free, respectively. Conclusions: The developed risk scores showed a moderate performance as a screening test. People with a score of = 2 points should undergo further testing to rule out CKD. Using the laboratory-free risk score is a practical approach in developing countries where laboratories are not readily available and undiagnosed CKD has significant morbidity and mortality.
引用
收藏
页数:11
相关论文
共 23 条
  • [1] Goodness-of-fit test for a logistic regression model fitted using survey sample data
    Archer, Kellie J.
    Lemeshow, Stanley
    [J]. STATA JOURNAL, 2006, 6 (01) : 97 - 105
  • [2] SCreening for Occult REnal Disease (SCORED) - A simple prediction model for chronic kidney disease
    Bang, Heejung
    Vupputuri, Suma
    Shoham, David A.
    Klemmer, Philip J.
    Falk, Ronald J.
    Mazumdar, Madhu
    Gipson, Debbie
    Colindres, Romulo E.
    Kshirsagar, Abhijit V.
    [J]. ARCHIVES OF INTERNAL MEDICINE, 2007, 167 (04) : 374 - 381
  • [3] Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study
    Carrillo-Larco, R. M.
    Bernabe-Ortiz, A.
    Pillay, T. D.
    Gilman, R. H.
    Sanchez, J. F.
    Poterico, J. A.
    Quispe, R.
    Smeeth, L.
    Miranda, J. J.
    [J]. INTERNATIONAL JOURNAL OF OBESITY, 2016, 40 (01) : 181 - 185
  • [4] Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure
    Chobanian, AV
    Bakris, GL
    Black, HR
    Cushman, WC
    Green, LA
    Izzo, JL
    Jones, DW
    Materson, BJ
    Oparil, S
    Wright, JT
    Roccella, EJ
    [J]. HYPERTENSION, 2003, 42 (06) : 1206 - 1252
  • [5] A population-based approach for the definition of chronic kidney disease: the CKD Prognosis Consortium
    Cirillo, Massimo
    Lombardi, Cinzia
    Mele, Alessandra Antonia
    Marcarelli, Fabiana
    Bilancio, Giancarlo
    [J]. JOURNAL OF NEPHROLOGY, 2012, 25 (01) : 7 - 12
  • [6] Hypsographic demography: The distribution of human population by altitude
    Cohen, JE
    Small, C
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (24) : 14009 - 14014
  • [7] Risk Models to Predict Chronic Kidney Disease and Its Progression: A Systematic Review
    Echouffo-Tcheugui, Justin B.
    Kengne, Andre P.
    [J]. PLOS MEDICINE, 2012, 9 (11)
  • [8] Burden of chronic kidney disease in resource-limited settings from Peru: a population-based study
    Francis, Elizabeth R.
    Kuo, Chin-Chi
    Bernabe-Ortiz, Antonio
    Nessel, Lisa
    Gilman, Robert H.
    Checkley, William
    Miranda, J. Jaime
    Feldman, Harold I.
    [J]. BMC NEPHROLOGY, 2015, 16
  • [9] Cardiovascular and renal effects of chronic exposure to high altitude
    Hurtado, Abdias
    Escudero, Elizabeth
    Pando, Jackeline
    Sharma, Shailendra
    Johnson, Richard J.
    [J]. NEPHROLOGY DIALYSIS TRANSPLANTATION, 2012, 27 : iv11 - iv16
  • [10] High Altitude Renal Syndrome (HARS)
    Hurtado Arestegui, Abdias
    Fuquay, Richard
    Sirota, Jeffrey
    Swenson, Erik R.
    Schoene, Robert B.
    Jefferson, J. Ashley
    Chen, Wei
    Yu, Xue-qing
    Kelly, Jackeline Pando
    Johnson, Richard J.
    Escudero, Elizabeth
    [J]. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2011, 22 (11): : 1963 - 1968