Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism
Objective: Although metabolic diseases individually are rare ,but overall have an incidence of 1/2000 and can cause devastating and irreversible effect if not diagnosed early and treated promptly. selective screening is an acceptable method for detection of these multi presentation diseases. Method...
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Mashhad University of Medical Sciences
2015-02-01
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doaj-2116ec9569234152bb10b647f5c885da2021-08-02T02:23:11ZengMashhad University of Medical SciencesIranian Journal of Neonatology2251-75102322-21582015-02-01541114Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolismNarges Pishva0Alie Mirzaee1Zohre Karamizade2Shahnaz Pourarian3Fariba Hemmati4Mostajab Razvi5Forough Saki6Neonatalogy Research center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranNeonatlaogy Research center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranDepartment of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranNeonatalogy Research center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranNeonatalogy Research center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranNeonatalogy Research center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences ,Shiraz, IranNeonatalogy Research Center, Department of Pediatrics, Namazee Hospital, School of Medicine, Shiraz University of Medical Sciences, Shiraz, IranObjective: Although metabolic diseases individually are rare ,but overall have an incidence of 1/2000 and can cause devastating and irreversible effect if not diagnosed early and treated promptly. selective screening is an acceptable method for detection of these multi presentation diseases. Method: using panel neonatal screening for detection of metabolic diseases in 650 high risk Iranian patients in Fars province. The following clinical features were used as inclusion criteria for investigation of the patients. Lethargy, poor feeding ,persistent vomiting, cholestasis, intractable seizure ,decreased level of consciousness ,persistent hypoglycemia, unexplained acid base disturbance and unexplained neonatal death. Result: Organic acidemia with 40 cases (42%) was the most frequent disorder diagnosed in our high risk populations, followed by disorder of galactose metabolism(30%), 15 patient had classic galactosemia(GALT http://ijn.mums.ac.ir/publisher?_action=publish&article=3184&related_issue=602metabolic disorders; Screening; Fars |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Narges Pishva Alie Mirzaee Zohre Karamizade Shahnaz Pourarian Fariba Hemmati Mostajab Razvi Forough Saki |
spellingShingle |
Narges Pishva Alie Mirzaee Zohre Karamizade Shahnaz Pourarian Fariba Hemmati Mostajab Razvi Forough Saki Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism Iranian Journal of Neonatology metabolic disorders; Screening; Fars |
author_facet |
Narges Pishva Alie Mirzaee Zohre Karamizade Shahnaz Pourarian Fariba Hemmati Mostajab Razvi Forough Saki |
author_sort |
Narges Pishva |
title |
Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism |
title_short |
Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism |
title_full |
Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism |
title_fullStr |
Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism |
title_full_unstemmed |
Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism |
title_sort |
selective screening of 650 high risk iranian patients for detection of inborn error of metabolism |
publisher |
Mashhad University of Medical Sciences |
series |
Iranian Journal of Neonatology |
issn |
2251-7510 2322-2158 |
publishDate |
2015-02-01 |
description |
Objective: Although metabolic diseases individually are rare ,but overall have an incidence of 1/2000 and can cause devastating and irreversible effect if not diagnosed early and treated promptly. selective screening is an acceptable method for detection of these multi presentation diseases.
Method: using panel neonatal screening for detection of metabolic diseases in 650 high risk Iranian patients in Fars province.
The following clinical features were used as inclusion criteria for investigation of the patients.
Lethargy, poor feeding ,persistent vomiting, cholestasis, intractable seizure ,decreased level of consciousness ,persistent hypoglycemia, unexplained acid base disturbance and unexplained neonatal death.
Result: Organic acidemia with 40 cases (42%) was the most frequent disorder diagnosed in our high risk populations, followed by disorder of galactose metabolism(30%), 15 patient had classic galactosemia(GALT
|
topic |
metabolic disorders; Screening; Fars |
url |
http://ijn.mums.ac.ir/publisher?_action=publish&article=3184&related_issue=602 |
work_keys_str_mv |
AT nargespishva selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT aliemirzaee selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT zohrekaramizade selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT shahnazpourarian selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT faribahemmati selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT mostajabrazvi selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism AT foroughsaki selectivescreeningof650highriskiranianpatientsfordetectionofinbornerrorofmetabolism |
_version_ |
1721243979525128192 |