Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy

Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sitanshu Kumar Meher [verfasserIn] Nihar Ranjan Mishra [verfasserIn] Deepak Kumar Khamari [verfasserIn] Bijan Kumar Nayak [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	children microalbuminuria receiver operating characteristic curve sickle cell nephropathy

Übergeordnetes Werk:	In: Journal of Pediatric Critical Care - Wolters Kluwer Medknow Publications, 2020, 7(2020), 2, Seite 73-78
Übergeordnetes Werk:	volume:7 ; year:2020 ; number:2 ; pages:73-78

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4103/JPCC.JPCC_2_20

Katalog-ID:	DOAJ046913122

Internformat


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520			\|a Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited.
650		4	\|a children
650		4	\|a microalbuminuria
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650		4	\|a sickle cell nephropathy
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allfields	10.4103/JPCC.JPCC_2_20 doi (DE-627)DOAJ046913122 (DE-599)DOAJb75967df9b3945658c209332e237bc60 DE-627 ger DE-627 rakwb eng RJ1-570 Sitanshu Kumar Meher verfasserin aut Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited. children microalbuminuria receiver operating characteristic curve sickle cell nephropathy Pediatrics Nihar Ranjan Mishra verfasserin aut Deepak Kumar Khamari verfasserin aut Bijan Kumar Nayak verfasserin aut In Journal of Pediatric Critical Care Wolters Kluwer Medknow Publications, 2020 7(2020), 2, Seite 73-78 (DE-627)1737600935 24557099 nnns volume:7 year:2020 number:2 pages:73-78 https://doi.org/10.4103/JPCC.JPCC_2_20 kostenfrei https://doaj.org/article/b75967df9b3945658c209332e237bc60 kostenfrei http://www.jpcc.org.in/article.asp?issn=2349-6592;year=2020;volume=7;issue=2;spage=73;epage=78;aulast= kostenfrei https://doaj.org/toc/2349-6592 Journal toc kostenfrei https://doaj.org/toc/2455-7099 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 2 73-78
spelling	10.4103/JPCC.JPCC_2_20 doi (DE-627)DOAJ046913122 (DE-599)DOAJb75967df9b3945658c209332e237bc60 DE-627 ger DE-627 rakwb eng RJ1-570 Sitanshu Kumar Meher verfasserin aut Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited. children microalbuminuria receiver operating characteristic curve sickle cell nephropathy Pediatrics Nihar Ranjan Mishra verfasserin aut Deepak Kumar Khamari verfasserin aut Bijan Kumar Nayak verfasserin aut In Journal of Pediatric Critical Care Wolters Kluwer Medknow Publications, 2020 7(2020), 2, Seite 73-78 (DE-627)1737600935 24557099 nnns volume:7 year:2020 number:2 pages:73-78 https://doi.org/10.4103/JPCC.JPCC_2_20 kostenfrei https://doaj.org/article/b75967df9b3945658c209332e237bc60 kostenfrei http://www.jpcc.org.in/article.asp?issn=2349-6592;year=2020;volume=7;issue=2;spage=73;epage=78;aulast= kostenfrei https://doaj.org/toc/2349-6592 Journal toc kostenfrei https://doaj.org/toc/2455-7099 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 2 73-78
allfields_unstemmed	10.4103/JPCC.JPCC_2_20 doi (DE-627)DOAJ046913122 (DE-599)DOAJb75967df9b3945658c209332e237bc60 DE-627 ger DE-627 rakwb eng RJ1-570 Sitanshu Kumar Meher verfasserin aut Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited. children microalbuminuria receiver operating characteristic curve sickle cell nephropathy Pediatrics Nihar Ranjan Mishra verfasserin aut Deepak Kumar Khamari verfasserin aut Bijan Kumar Nayak verfasserin aut In Journal of Pediatric Critical Care Wolters Kluwer Medknow Publications, 2020 7(2020), 2, Seite 73-78 (DE-627)1737600935 24557099 nnns volume:7 year:2020 number:2 pages:73-78 https://doi.org/10.4103/JPCC.JPCC_2_20 kostenfrei https://doaj.org/article/b75967df9b3945658c209332e237bc60 kostenfrei http://www.jpcc.org.in/article.asp?issn=2349-6592;year=2020;volume=7;issue=2;spage=73;epage=78;aulast= kostenfrei https://doaj.org/toc/2349-6592 Journal toc kostenfrei https://doaj.org/toc/2455-7099 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 2 73-78
allfieldsGer	10.4103/JPCC.JPCC_2_20 doi (DE-627)DOAJ046913122 (DE-599)DOAJb75967df9b3945658c209332e237bc60 DE-627 ger DE-627 rakwb eng RJ1-570 Sitanshu Kumar Meher verfasserin aut Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited. children microalbuminuria receiver operating characteristic curve sickle cell nephropathy Pediatrics Nihar Ranjan Mishra verfasserin aut Deepak Kumar Khamari verfasserin aut Bijan Kumar Nayak verfasserin aut In Journal of Pediatric Critical Care Wolters Kluwer Medknow Publications, 2020 7(2020), 2, Seite 73-78 (DE-627)1737600935 24557099 nnns volume:7 year:2020 number:2 pages:73-78 https://doi.org/10.4103/JPCC.JPCC_2_20 kostenfrei https://doaj.org/article/b75967df9b3945658c209332e237bc60 kostenfrei http://www.jpcc.org.in/article.asp?issn=2349-6592;year=2020;volume=7;issue=2;spage=73;epage=78;aulast= kostenfrei https://doaj.org/toc/2349-6592 Journal toc kostenfrei https://doaj.org/toc/2455-7099 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 2 73-78
allfieldsSound	10.4103/JPCC.JPCC_2_20 doi (DE-627)DOAJ046913122 (DE-599)DOAJb75967df9b3945658c209332e237bc60 DE-627 ger DE-627 rakwb eng RJ1-570 Sitanshu Kumar Meher verfasserin aut Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited. children microalbuminuria receiver operating characteristic curve sickle cell nephropathy Pediatrics Nihar Ranjan Mishra verfasserin aut Deepak Kumar Khamari verfasserin aut Bijan Kumar Nayak verfasserin aut In Journal of Pediatric Critical Care Wolters Kluwer Medknow Publications, 2020 7(2020), 2, Seite 73-78 (DE-627)1737600935 24557099 nnns volume:7 year:2020 number:2 pages:73-78 https://doi.org/10.4103/JPCC.JPCC_2_20 kostenfrei https://doaj.org/article/b75967df9b3945658c209332e237bc60 kostenfrei http://www.jpcc.org.in/article.asp?issn=2349-6592;year=2020;volume=7;issue=2;spage=73;epage=78;aulast= kostenfrei https://doaj.org/toc/2349-6592 Journal toc kostenfrei https://doaj.org/toc/2455-7099 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020 2 73-78
language	English
source	In Journal of Pediatric Critical Care 7(2020), 2, Seite 73-78 volume:7 year:2020 number:2 pages:73-78
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authorswithroles_txt_mv	Sitanshu Kumar Meher @@aut@@ Nihar Ranjan Mishra @@aut@@ Deepak Kumar Khamari @@aut@@ Bijan Kumar Nayak @@aut@@
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topic_title	RJ1-570 Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy children microalbuminuria receiver operating characteristic curve sickle cell nephropathy
topic	misc RJ1-570 misc children misc microalbuminuria misc receiver operating characteristic curve misc sickle cell nephropathy misc Pediatrics
topic_unstemmed	misc RJ1-570 misc children misc microalbuminuria misc receiver operating characteristic curve misc sickle cell nephropathy misc Pediatrics
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title	Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy
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title_full	Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy
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title_sort	diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy
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title_auth	Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy
abstract	Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited.
abstractGer	Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited.
abstract_unstemmed	Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. However, larger studies with a good level of evidence are awaited.
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title_short	Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy
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up_date	2024-07-03T23:12:13.842Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ046913122</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308114950.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4103/JPCC.JPCC_2_20</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ046913122</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb75967df9b3945658c209332e237bc60</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RJ1-570</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Sitanshu Kumar Meher</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objective: The aim of this study is to detect the diagnostic accuracy of microalbuminuria (MA) among sickle cell children with nephropathy. Materials and Methods: Five hundred and seven sickle cell homozygous children between 5 and 14 years of age group were enrolled after receiving written informed consent from the parents and/or caregiver. Children with preexisting kidney diseases, albuminuria, and taking any drugs that will affect renal function were excluded from the study. Sickle cell nephropathy (SCN) was diagnosed by using the National Kidney Foundation Kidney Disease Outcome Quality Initiative guidelines. Study Design: The study design involves diagnostic study Phase I. Statistical Analysis: Descriptive statistics were done using SPSS version 25.0 (IBM, NY, USA), and diagnostic statistics such as receiver operating characteristic curve (ROC) and others were done by Dxt version 1.0 software (BRTC, Vellore, India). Results: Of 507 patients, 268 (52.8%) were male and 239 (47.1%) were female. The mean age of the study population was 9.42 ± 2.56 years. Cutoff value of MA was ≥47 mg/day (sensitivity [Sn]: 73.9%, specificity [Sp]: 90.5% and area under curve was 0.841 [0.56, 0.91] with P = 0.001). Sn of MA was 76.1% (61.1%, 80.7%), Sp: 90.9% (87.8%, 93.5%), positive predictive value: 62.4% (52.2%, 71.8%), negative predictive value: 93.8% (91%–96%), likelihood ratio positive (LR+): 7.894 (5.672, 10.986), likelihood ratio negative (LR-): 0.312 (0.224, 0.436), odds ratio: 25.266 (14.277, 44.713) with diagnostic accuracy of 83.62%. Conclusions: MA can be used as a good screening tool for early detection of SCN. 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Diagnostic accuracy of microalbuminuria among sickle cell children with nephropathy

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