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Redefining the Reference Interval and Cut-Off Values of the Hematological and Biochemical Parameters and Deriving a Sensitive Predictive Marker for Crisis Events in Sickle Cell Disease
The heterogeneity in clinical presentations in sickle cell disease (SCD) alters between crisis and steady state phases. Considering the pathophysiology, it is crucial to establish a disease-specific reference interval for hematological and biochemical parameters and identify the sensitive predictive...
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Published in: | Indian journal of clinical biochemistry 2025, Vol.40 (1), p.136-150 |
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description | The heterogeneity in clinical presentations in sickle cell disease (SCD) alters between crisis and steady state phases. Considering the pathophysiology, it is crucial to establish a disease-specific reference interval for hematological and biochemical parameters and identify the sensitive predictive markers for crisis. The case–control study included fifty-four healthy control, forty SCD cases in crisis state, and forty-six steady state cases. Blood samples were evaluated for complete blood count (CBC) and biochemical parameters. Red cell indices were calculated. 2.5th and 97.5th percentile values were delineated in the steady state cases as new reference interval. The new cut-off values were evaluated for sensitivity and specificity. The steady state cases reported a significant decrease in urea, sodium, Hb, Hct, and RBC count compared to the control group, whereas potassium, and red cell indices were higher. Compared to the steady state, the crisis state depicted a significant increase in urea, liver enzymes, leucocytes, inflammatory indices, and all red cell indices, whereas sodium, albumin, iron, Hb, Hct, and LMR were decreased. The revised 95 percentile ranges were sodium-132.35–143.65 mmol/L, potassium-3.75–6.09 mmol/L, albumin-2.9–5.0 g/dL, Hb-7.51–12.17 g/dL, RBC count-2.2–5.49 × 10
6
/µL, and Hct-22.54–36.1%. Red cell indices like Ricerca, Green and King, and Huber–Heklotz could be good screening tools for crisis events with more than 70% sensitivity. Thus, the laboratory must derive a new reference interval and cut-off values at the steady state in the SCD population it is catering samples rather than comparing it with normal healthy individuals. |
doi_str_mv | 10.1007/s12291-023-01158-9 |
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/µL, and Hct-22.54–36.1%. Red cell indices like Ricerca, Green and King, and Huber–Heklotz could be good screening tools for crisis events with more than 70% sensitivity. Thus, the laboratory must derive a new reference interval and cut-off values at the steady state in the SCD population it is catering samples rather than comparing it with normal healthy individuals.</description><identifier>ISSN: 0970-1915</identifier><identifier>EISSN: 0974-0422</identifier><identifier>DOI: 10.1007/s12291-023-01158-9</identifier><identifier>PMID: 39835223</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Albumin ; Biochemistry ; Biomedical and Life Sciences ; Chemistry/Food Science ; Hematology ; Hepatocytes ; Leukocytes ; Life Sciences ; Microbiology ; Original Research Article ; Pathology ; Potassium ; Sensitivity analysis ; Sickle cell disease ; Sodium</subject><ispartof>Indian journal of clinical biochemistry, 2025, Vol.40 (1), p.136-150</ispartof><rights>The Author(s), under exclusive licence to Association of Clinical Biochemists of India 2023 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>The Author(s), under exclusive licence to Association of Clinical Biochemists of India 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>Copyright Springer Nature B.V. 2025</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-a400c6110404d97384b021094b93455a230d46176aa8c8c279e82858f933593b3</cites><orcidid>0000-0002-7449-1354</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39835223$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patel, Suprava</creatorcontrib><creatorcontrib>Chandrakar, Diksha</creatorcontrib><creatorcontrib>Wasnik, Preetam N.</creatorcontrib><creatorcontrib>Mohapatra, Eli</creatorcontrib><creatorcontrib>Nanda, Rachita</creatorcontrib><creatorcontrib>Shah, Seema</creatorcontrib><creatorcontrib>Gupta, Ashish</creatorcontrib><title>Redefining the Reference Interval and Cut-Off Values of the Hematological and Biochemical Parameters and Deriving a Sensitive Predictive Marker for Crisis Events in Sickle Cell Disease</title><title>Indian journal of clinical biochemistry</title><addtitle>Ind J Clin Biochem</addtitle><addtitle>Indian J Clin Biochem</addtitle><description>The heterogeneity in clinical presentations in sickle cell disease (SCD) alters between crisis and steady state phases. Considering the pathophysiology, it is crucial to establish a disease-specific reference interval for hematological and biochemical parameters and identify the sensitive predictive markers for crisis. The case–control study included fifty-four healthy control, forty SCD cases in crisis state, and forty-six steady state cases. Blood samples were evaluated for complete blood count (CBC) and biochemical parameters. Red cell indices were calculated. 2.5th and 97.5th percentile values were delineated in the steady state cases as new reference interval. The new cut-off values were evaluated for sensitivity and specificity. The steady state cases reported a significant decrease in urea, sodium, Hb, Hct, and RBC count compared to the control group, whereas potassium, and red cell indices were higher. Compared to the steady state, the crisis state depicted a significant increase in urea, liver enzymes, leucocytes, inflammatory indices, and all red cell indices, whereas sodium, albumin, iron, Hb, Hct, and LMR were decreased. The revised 95 percentile ranges were sodium-132.35–143.65 mmol/L, potassium-3.75–6.09 mmol/L, albumin-2.9–5.0 g/dL, Hb-7.51–12.17 g/dL, RBC count-2.2–5.49 × 10
6
/µL, and Hct-22.54–36.1%. Red cell indices like Ricerca, Green and King, and Huber–Heklotz could be good screening tools for crisis events with more than 70% sensitivity. Thus, the laboratory must derive a new reference interval and cut-off values at the steady state in the SCD population it is catering samples rather than comparing it with normal healthy individuals.</description><subject>Albumin</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Chemistry/Food Science</subject><subject>Hematology</subject><subject>Hepatocytes</subject><subject>Leukocytes</subject><subject>Life Sciences</subject><subject>Microbiology</subject><subject>Original Research Article</subject><subject>Pathology</subject><subject>Potassium</subject><subject>Sensitivity analysis</subject><subject>Sickle cell disease</subject><subject>Sodium</subject><issn>0970-1915</issn><issn>0974-0422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAQhi0EomXhBTggS1y4GMZ2nMRHSAutVNSqBa6W15ls3SZOsZOVeDMeD292AYkDp5nRfPPPjH5CXnJ4ywGqd4kLoTkDIRlwrmqmH5Fj0FXBoBDi8ZID45qrI_IspTsAWUDBn5IjqWuphJDH5Oc1ttj54MOGTrdIr7HDiMEhPQ8Txq3tqQ0tbeaJXXYd_Wb7GRMduwU-w8FOYz9uvDtwH_zobnFY6isb7YBZJC2tE4x-u1tj6Q2G5Ce_RXoVsfVuST_beI-RdmOkTfTJJ3q6xTAl6gO98e6-R9pg39MTn9AmfE6edLZP-OIQV-Trx9MvzRm7uPx03ry_YE6KcmK2AHAl55A_b3Ul62INgoMu1loWSlkhoS1KXpXW1q52otJYi1rVnZZSabmWK_Jmr_sQx-_598kMPrl8iA04zslIriqlKqhkRl__g96Ncwz5uh1V6rJU2YIVEXvKxTGliJ15iH6w8YfhYHa-mr2vJvtqFl-NzkOvDtLzesD2z8hvIzMg90DKrbDB-Hf3f2R_AYwArWQ</recordid><startdate>2025</startdate><enddate>2025</enddate><creator>Patel, Suprava</creator><creator>Chandrakar, Diksha</creator><creator>Wasnik, Preetam N.</creator><creator>Mohapatra, Eli</creator><creator>Nanda, Rachita</creator><creator>Shah, Seema</creator><creator>Gupta, Ashish</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7449-1354</orcidid></search><sort><creationdate>2025</creationdate><title>Redefining the Reference Interval and Cut-Off Values of the Hematological and Biochemical Parameters and Deriving a Sensitive Predictive Marker for Crisis Events in Sickle Cell Disease</title><author>Patel, Suprava ; Chandrakar, Diksha ; Wasnik, Preetam N. ; Mohapatra, Eli ; Nanda, Rachita ; Shah, Seema ; Gupta, Ashish</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-a400c6110404d97384b021094b93455a230d46176aa8c8c279e82858f933593b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Albumin</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Chemistry/Food Science</topic><topic>Hematology</topic><topic>Hepatocytes</topic><topic>Leukocytes</topic><topic>Life Sciences</topic><topic>Microbiology</topic><topic>Original Research Article</topic><topic>Pathology</topic><topic>Potassium</topic><topic>Sensitivity analysis</topic><topic>Sickle cell disease</topic><topic>Sodium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patel, Suprava</creatorcontrib><creatorcontrib>Chandrakar, Diksha</creatorcontrib><creatorcontrib>Wasnik, Preetam N.</creatorcontrib><creatorcontrib>Mohapatra, Eli</creatorcontrib><creatorcontrib>Nanda, Rachita</creatorcontrib><creatorcontrib>Shah, Seema</creatorcontrib><creatorcontrib>Gupta, Ashish</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Indian journal of clinical biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patel, Suprava</au><au>Chandrakar, Diksha</au><au>Wasnik, Preetam N.</au><au>Mohapatra, Eli</au><au>Nanda, Rachita</au><au>Shah, Seema</au><au>Gupta, Ashish</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Redefining the Reference Interval and Cut-Off Values of the Hematological and Biochemical Parameters and Deriving a Sensitive Predictive Marker for Crisis Events in Sickle Cell Disease</atitle><jtitle>Indian journal of clinical biochemistry</jtitle><stitle>Ind J Clin Biochem</stitle><addtitle>Indian J Clin Biochem</addtitle><date>2025</date><risdate>2025</risdate><volume>40</volume><issue>1</issue><spage>136</spage><epage>150</epage><pages>136-150</pages><issn>0970-1915</issn><eissn>0974-0422</eissn><abstract>The heterogeneity in clinical presentations in sickle cell disease (SCD) alters between crisis and steady state phases. Considering the pathophysiology, it is crucial to establish a disease-specific reference interval for hematological and biochemical parameters and identify the sensitive predictive markers for crisis. The case–control study included fifty-four healthy control, forty SCD cases in crisis state, and forty-six steady state cases. Blood samples were evaluated for complete blood count (CBC) and biochemical parameters. Red cell indices were calculated. 2.5th and 97.5th percentile values were delineated in the steady state cases as new reference interval. The new cut-off values were evaluated for sensitivity and specificity. The steady state cases reported a significant decrease in urea, sodium, Hb, Hct, and RBC count compared to the control group, whereas potassium, and red cell indices were higher. Compared to the steady state, the crisis state depicted a significant increase in urea, liver enzymes, leucocytes, inflammatory indices, and all red cell indices, whereas sodium, albumin, iron, Hb, Hct, and LMR were decreased. The revised 95 percentile ranges were sodium-132.35–143.65 mmol/L, potassium-3.75–6.09 mmol/L, albumin-2.9–5.0 g/dL, Hb-7.51–12.17 g/dL, RBC count-2.2–5.49 × 10
6
/µL, and Hct-22.54–36.1%. Red cell indices like Ricerca, Green and King, and Huber–Heklotz could be good screening tools for crisis events with more than 70% sensitivity. Thus, the laboratory must derive a new reference interval and cut-off values at the steady state in the SCD population it is catering samples rather than comparing it with normal healthy individuals.</abstract><cop>New Delhi</cop><pub>Springer India</pub><pmid>39835223</pmid><doi>10.1007/s12291-023-01158-9</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-7449-1354</orcidid></addata></record> |
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subjects | Albumin Biochemistry Biomedical and Life Sciences Chemistry/Food Science Hematology Hepatocytes Leukocytes Life Sciences Microbiology Original Research Article Pathology Potassium Sensitivity analysis Sickle cell disease Sodium |
title | Redefining the Reference Interval and Cut-Off Values of the Hematological and Biochemical Parameters and Deriving a Sensitive Predictive Marker for Crisis Events in Sickle Cell Disease |
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