Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c
ABSTRACT Background The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using differe...
Gespeichert in:
| Veröffentlicht in: | Journal of clinical laboratory analysis 2024-10, Vol.38 (19-20), p.e25104-n/a |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | n/a |
|---|---|
| container_issue | 19-20 |
| container_start_page | e25104 |
| container_title | Journal of clinical laboratory analysis |
| container_volume | 38 |
| creator | Wan, Yafang Zhang, Yu Li, Tian Chen, Shuyue Niu, Changchun |
| description | ABSTRACT
Background
The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models.
Methods
The current investigation is a single‐center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC‐723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia‐related pathogenic genes.
Results
A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.‐78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. ‐‐SEA/αα mutation demonstrated the youngest ages (p |
| doi_str_mv | 10.1002/jcla.25104 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11520934</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3109422042</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3384-8ed2637ffb7037edb933c2c2367920627a18cc4202395f7196cb33af2d5c0af03</originalsourceid><addsrcrecordid>eNp90U9v0zAYBnALMbEyuPABkCUuCCnjtZ3EzglV5U83VdoOQxwtx3EaV45d7ATUb49LxzQ4cPLBPz96_T4IvSJwSQDo-5126pJWBMonaEGgEQUVtHqKFiAELwQQdo6ep7QDANGQ-hk6Zw0jnHC-QN1tNJ3Vkw0eT4PBN1rPMRqvDQ49vhuUUymZ0Sr8zU4DXptRTcGFrdXK4dvB-DAd9ga3B_zRqq0Pyabjw2XrQxwzWbdLol-gs165ZF7enxfo6-dPd6t1sbn5crVabgrNmCgLYTpaM973LQfGTdc2jGmqKat5Q6GmXBGhdUmBsqbqOWlq3TKmetpVGlQP7AJ9OOXu53Y0nTZ-isrJfbSjigcZlJV_33g7yG34IQmpKDSszAlv7xNi-D6bNMnRJm2cU96EOUmW11tSCiXN9M0_dBfm6PP_sqKkqgXlVVbvTkrHkFI0_cM0BOSxPXlsT_5uL-PXj-d_oH_qyoCcwE_rzOE_UfJ6tVmeQn8Bim6kmw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3121568275</pqid></control><display><type>article</type><title>Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c</title><source>Wiley Online Library Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Wan, Yafang ; Zhang, Yu ; Li, Tian ; Chen, Shuyue ; Niu, Changchun</creator><creatorcontrib>Wan, Yafang ; Zhang, Yu ; Li, Tian ; Chen, Shuyue ; Niu, Changchun</creatorcontrib><description><![CDATA[ABSTRACT
Background
The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models.
Methods
The current investigation is a single‐center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC‐723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia‐related pathogenic genes.
Results
A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.‐78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. ‐‐SEA/αα mutation demonstrated the youngest ages (p < 0.001). 17 M (p < 0.001) and 41/42 M (p < 0.01) mutations with β‐thalassemia showed higher HbF levels compared with patients without thalassemia mutations. Except for ‐α3.7, mutations in thalassemia showed lower levels of mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) compared with patients without thalassemia mutations. Patients with thalassemia mutations showed younger age (p < 0.001), lower Hb (p < 0.001), MCV and MCH levels (p < 0.001), higher red blood cell (RBC) count (p < 0.001), and platelet distribution width (PDW) level (p = 0.007) than patients without thalassemia mutations. Three statistical models indicate MCV is the most valuable independent factor for predicting thalassemia and ROC (receiver operating characteristic) curves analysis of AUC (Area Under the Curve) of 0.855 (95% CI [0.787–0.923], p < 0.001) with MCV.
Conclusion
High HbF level (≥ 1.5%) or abnormal Hb peak present in HbA1c testing indicated high incident rate of thalassemia. MCV is the most valuable independent predicting factor for subjects having thalassemia.
Patients participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) levels (≥ 1.5%) or abnormal Hb peak got mutations and showed younger age, lower Hb, MCV and MCH levels, higher RBC count, and PDW than patients without thalassemia mutations. The independent factor MCV demonstrated the most valuable diagnosis factor whether in three statistical models or in ROC curve analysis.]]></description><identifier>ISSN: 0887-8013</identifier><identifier>ISSN: 1098-2825</identifier><identifier>EISSN: 1098-2825</identifier><identifier>DOI: 10.1002/jcla.25104</identifier><identifier>PMID: 39317177</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Anemia ; Anticoagulants ; Blood ; Blood diseases ; Chromatography ; Data analysis ; Erythrocytes ; Gene polymorphism ; Genes ; glycated hemoglobin ; HBB gene ; Hematology ; Hemoglobin ; hemoglobin F ; Heterozygosity ; Medical laboratories ; Mutation ; Phenotypes ; Regression analysis ; Single-nucleotide polymorphism ; Software ; Statistical models ; Thalassemia</subject><ispartof>Journal of clinical laboratory analysis, 2024-10, Vol.38 (19-20), p.e25104-n/a</ispartof><rights>2024 The Author(s). published by Wiley Periodicals LLC.</rights><rights>2024 The Author(s). Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3384-8ed2637ffb7037edb933c2c2367920627a18cc4202395f7196cb33af2d5c0af03</cites><orcidid>0000-0001-7786-1341</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520934/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520934/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39317177$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wan, Yafang</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Li, Tian</creatorcontrib><creatorcontrib>Chen, Shuyue</creatorcontrib><creatorcontrib>Niu, Changchun</creatorcontrib><title>Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c</title><title>Journal of clinical laboratory analysis</title><addtitle>J Clin Lab Anal</addtitle><description><![CDATA[ABSTRACT
Background
The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models.
Methods
The current investigation is a single‐center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC‐723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia‐related pathogenic genes.
Results
A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.‐78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. ‐‐SEA/αα mutation demonstrated the youngest ages (p < 0.001). 17 M (p < 0.001) and 41/42 M (p < 0.01) mutations with β‐thalassemia showed higher HbF levels compared with patients without thalassemia mutations. Except for ‐α3.7, mutations in thalassemia showed lower levels of mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) compared with patients without thalassemia mutations. Patients with thalassemia mutations showed younger age (p < 0.001), lower Hb (p < 0.001), MCV and MCH levels (p < 0.001), higher red blood cell (RBC) count (p < 0.001), and platelet distribution width (PDW) level (p = 0.007) than patients without thalassemia mutations. Three statistical models indicate MCV is the most valuable independent factor for predicting thalassemia and ROC (receiver operating characteristic) curves analysis of AUC (Area Under the Curve) of 0.855 (95% CI [0.787–0.923], p < 0.001) with MCV.
Conclusion
High HbF level (≥ 1.5%) or abnormal Hb peak present in HbA1c testing indicated high incident rate of thalassemia. MCV is the most valuable independent predicting factor for subjects having thalassemia.
Patients participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) levels (≥ 1.5%) or abnormal Hb peak got mutations and showed younger age, lower Hb, MCV and MCH levels, higher RBC count, and PDW than patients without thalassemia mutations. The independent factor MCV demonstrated the most valuable diagnosis factor whether in three statistical models or in ROC curve analysis.]]></description><subject>Anemia</subject><subject>Anticoagulants</subject><subject>Blood</subject><subject>Blood diseases</subject><subject>Chromatography</subject><subject>Data analysis</subject><subject>Erythrocytes</subject><subject>Gene polymorphism</subject><subject>Genes</subject><subject>glycated hemoglobin</subject><subject>HBB gene</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>hemoglobin F</subject><subject>Heterozygosity</subject><subject>Medical laboratories</subject><subject>Mutation</subject><subject>Phenotypes</subject><subject>Regression analysis</subject><subject>Single-nucleotide polymorphism</subject><subject>Software</subject><subject>Statistical models</subject><subject>Thalassemia</subject><issn>0887-8013</issn><issn>1098-2825</issn><issn>1098-2825</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>BENPR</sourceid><recordid>eNp90U9v0zAYBnALMbEyuPABkCUuCCnjtZ3EzglV5U83VdoOQxwtx3EaV45d7ATUb49LxzQ4cPLBPz96_T4IvSJwSQDo-5126pJWBMonaEGgEQUVtHqKFiAELwQQdo6ep7QDANGQ-hk6Zw0jnHC-QN1tNJ3Vkw0eT4PBN1rPMRqvDQ49vhuUUymZ0Sr8zU4DXptRTcGFrdXK4dvB-DAd9ga3B_zRqq0Pyabjw2XrQxwzWbdLol-gs165ZF7enxfo6-dPd6t1sbn5crVabgrNmCgLYTpaM973LQfGTdc2jGmqKat5Q6GmXBGhdUmBsqbqOWlq3TKmetpVGlQP7AJ9OOXu53Y0nTZ-isrJfbSjigcZlJV_33g7yG34IQmpKDSszAlv7xNi-D6bNMnRJm2cU96EOUmW11tSCiXN9M0_dBfm6PP_sqKkqgXlVVbvTkrHkFI0_cM0BOSxPXlsT_5uL-PXj-d_oH_qyoCcwE_rzOE_UfJ6tVmeQn8Bim6kmw</recordid><startdate>202410</startdate><enddate>202410</enddate><creator>Wan, Yafang</creator><creator>Zhang, Yu</creator><creator>Li, Tian</creator><creator>Chen, Shuyue</creator><creator>Niu, Changchun</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7T5</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7786-1341</orcidid></search><sort><creationdate>202410</creationdate><title>Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c</title><author>Wan, Yafang ; Zhang, Yu ; Li, Tian ; Chen, Shuyue ; Niu, Changchun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3384-8ed2637ffb7037edb933c2c2367920627a18cc4202395f7196cb33af2d5c0af03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anemia</topic><topic>Anticoagulants</topic><topic>Blood</topic><topic>Blood diseases</topic><topic>Chromatography</topic><topic>Data analysis</topic><topic>Erythrocytes</topic><topic>Gene polymorphism</topic><topic>Genes</topic><topic>glycated hemoglobin</topic><topic>HBB gene</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>hemoglobin F</topic><topic>Heterozygosity</topic><topic>Medical laboratories</topic><topic>Mutation</topic><topic>Phenotypes</topic><topic>Regression analysis</topic><topic>Single-nucleotide polymorphism</topic><topic>Software</topic><topic>Statistical models</topic><topic>Thalassemia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wan, Yafang</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Li, Tian</creatorcontrib><creatorcontrib>Chen, Shuyue</creatorcontrib><creatorcontrib>Niu, Changchun</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical laboratory analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wan, Yafang</au><au>Zhang, Yu</au><au>Li, Tian</au><au>Chen, Shuyue</au><au>Niu, Changchun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c</atitle><jtitle>Journal of clinical laboratory analysis</jtitle><addtitle>J Clin Lab Anal</addtitle><date>2024-10</date><risdate>2024</risdate><volume>38</volume><issue>19-20</issue><spage>e25104</spage><epage>n/a</epage><pages>e25104-n/a</pages><issn>0887-8013</issn><issn>1098-2825</issn><eissn>1098-2825</eissn><abstract><![CDATA[ABSTRACT
Background
The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models.
Methods
The current investigation is a single‐center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC‐723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia‐related pathogenic genes.
Results
A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.‐78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. ‐‐SEA/αα mutation demonstrated the youngest ages (p < 0.001). 17 M (p < 0.001) and 41/42 M (p < 0.01) mutations with β‐thalassemia showed higher HbF levels compared with patients without thalassemia mutations. Except for ‐α3.7, mutations in thalassemia showed lower levels of mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) compared with patients without thalassemia mutations. Patients with thalassemia mutations showed younger age (p < 0.001), lower Hb (p < 0.001), MCV and MCH levels (p < 0.001), higher red blood cell (RBC) count (p < 0.001), and platelet distribution width (PDW) level (p = 0.007) than patients without thalassemia mutations. Three statistical models indicate MCV is the most valuable independent factor for predicting thalassemia and ROC (receiver operating characteristic) curves analysis of AUC (Area Under the Curve) of 0.855 (95% CI [0.787–0.923], p < 0.001) with MCV.
Conclusion
High HbF level (≥ 1.5%) or abnormal Hb peak present in HbA1c testing indicated high incident rate of thalassemia. MCV is the most valuable independent predicting factor for subjects having thalassemia.
Patients participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) levels (≥ 1.5%) or abnormal Hb peak got mutations and showed younger age, lower Hb, MCV and MCH levels, higher RBC count, and PDW than patients without thalassemia mutations. The independent factor MCV demonstrated the most valuable diagnosis factor whether in three statistical models or in ROC curve analysis.]]></abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>39317177</pmid><doi>10.1002/jcla.25104</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-7786-1341</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0887-8013 |
| ispartof | Journal of clinical laboratory analysis, 2024-10, Vol.38 (19-20), p.e25104-n/a |
| issn | 0887-8013 1098-2825 1098-2825 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11520934 |
| source | Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Anemia Anticoagulants Blood Blood diseases Chromatography Data analysis Erythrocytes Gene polymorphism Genes glycated hemoglobin HBB gene Hematology Hemoglobin hemoglobin F Heterozygosity Medical laboratories Mutation Phenotypes Regression analysis Single-nucleotide polymorphism Software Statistical models Thalassemia |
| title | Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T07%3A53%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20the%20Occurrence%20of%20Thalassemia%20With%20Hematological%20Phenotype%20by%20Diagnosis%20of%20Abnormal%20HbA1c&rft.jtitle=Journal%20of%20clinical%20laboratory%20analysis&rft.au=Wan,%20Yafang&rft.date=2024-10&rft.volume=38&rft.issue=19-20&rft.spage=e25104&rft.epage=n/a&rft.pages=e25104-n/a&rft.issn=0887-8013&rft.eissn=1098-2825&rft_id=info:doi/10.1002/jcla.25104&rft_dat=%3Cproquest_pubme%3E3109422042%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3121568275&rft_id=info:pmid/39317177&rfr_iscdi=true |