Is it possible to predict the blood volume of a sick preterm infant?
Objective: To investigate the relation between the measured intravascular blood volume (BV) and current methods of indirectly assessing BV status in sick preterm infants on the first day of life. Methods: Thirty eight preterm infants of gestation 24–32 weeks (median 30) and weight 480–2060 g (median...
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| Veröffentlicht in: | Archives of disease in childhood. Fetal and neonatal edition 2004-07, Vol.89 (4), p.F344-F347 |
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| creator | Aladangady, N Aitchison, T C Beckett, C Holland, B M Kyle, B M Wardrop, C A J |
| description | Objective: To investigate the relation between the measured intravascular blood volume (BV) and current methods of indirectly assessing BV status in sick preterm infants on the first day of life. Methods: Thirty eight preterm infants of gestation 24–32 weeks (median 30) and weight 480–2060 g (median 1220) were studied. Red cell volume was measured by the fetal haemoglobin dilution method in six infants and by the biotin labelled autologous red cell dilution method in the remaining 32. Total BV was calculated by dividing red cell volume by packed cell volume. Indirect assessments of BV status using heart rate (HR), core-peripheral temperature difference, mean arterial pressure, base excess, and packed cell volume were recorded. Results: The mean (SD) initial measured BV was 71 (12) ml/kg (range 53–105). The mean HR was 148 beats/min (range 130–180), which correlated positively (r = 0.39, p = 0.02) with BV (higher HR was associated with higher BV). The mean base excess was −3.19 mmol/l (range −18 to +6.2). The negative base excess correlated significantly positively (r = 0.41, p |
| doi_str_mv | 10.1136/adc.2003.039008 |
| format | Article |
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Methods: Thirty eight preterm infants of gestation 24–32 weeks (median 30) and weight 480–2060 g (median 1220) were studied. Red cell volume was measured by the fetal haemoglobin dilution method in six infants and by the biotin labelled autologous red cell dilution method in the remaining 32. Total BV was calculated by dividing red cell volume by packed cell volume. Indirect assessments of BV status using heart rate (HR), core-peripheral temperature difference, mean arterial pressure, base excess, and packed cell volume were recorded. Results: The mean (SD) initial measured BV was 71 (12) ml/kg (range 53–105). The mean HR was 148 beats/min (range 130–180), which correlated positively (r = 0.39, p = 0.02) with BV (higher HR was associated with higher BV). The mean base excess was −3.19 mmol/l (range −18 to +6.2). The negative base excess correlated significantly positively (r = 0.41, p < 0.01) with BV (more acidotic babies tended to have higher BV). There was no significant correlation between core-peripheral temperature difference, mean arterial pressure, or packed cell volume and BV. Regression analysis showed that base excess and HR were significantly related to BV; base excess alone can predict variability in BV only to17%, and base excess with HR can predict variability in BV to 29%. Conclusion: The conventional clinical and laboratory indices are poor predictors of measured blood volume.</description><identifier>ISSN: 1359-2998</identifier><identifier>EISSN: 1468-2052</identifier><identifier>DOI: 10.1136/adc.2003.039008</identifier><identifier>PMID: 15210672</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</publisher><subject>base deficit ; Biotin ; blood volume ; Blood Volume - physiology ; Blood Volume Determination - methods ; Blood Volume Determination - standards ; c-pT ; core-peripheral temperature difference ; Female ; Gestational Age ; Heart rate ; Humans ; Infant, Newborn ; Infant, Premature ; Infant, Premature, Diseases - physiopathology ; Infants ; Male ; mean arterial pressure ; Original ; packed cell volume ; PCV ; Predictive Value of Tests ; RCV ; red cell volume ; Regression analysis</subject><ispartof>Archives of disease in childhood. Fetal and neonatal edition, 2004-07, Vol.89 (4), p.F344-F347</ispartof><rights>Copyright 2004 Archives of Disease in Childhood</rights><rights>Copyright: 2004 Copyright 2004 Archives of Disease in Childhood</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b490t-b7a43fd62d8a73d44cad5a03f47ebb07a93ef67363bfb980e5345e294816b9be3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1721734/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1721734/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15210672$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aladangady, N</creatorcontrib><creatorcontrib>Aitchison, T C</creatorcontrib><creatorcontrib>Beckett, C</creatorcontrib><creatorcontrib>Holland, B M</creatorcontrib><creatorcontrib>Kyle, B M</creatorcontrib><creatorcontrib>Wardrop, C A J</creatorcontrib><title>Is it possible to predict the blood volume of a sick preterm infant?</title><title>Archives of disease in childhood. Fetal and neonatal edition</title><addtitle>Arch Dis Child Fetal Neonatal Ed</addtitle><description>Objective: To investigate the relation between the measured intravascular blood volume (BV) and current methods of indirectly assessing BV status in sick preterm infants on the first day of life. Methods: Thirty eight preterm infants of gestation 24–32 weeks (median 30) and weight 480–2060 g (median 1220) were studied. Red cell volume was measured by the fetal haemoglobin dilution method in six infants and by the biotin labelled autologous red cell dilution method in the remaining 32. Total BV was calculated by dividing red cell volume by packed cell volume. Indirect assessments of BV status using heart rate (HR), core-peripheral temperature difference, mean arterial pressure, base excess, and packed cell volume were recorded. Results: The mean (SD) initial measured BV was 71 (12) ml/kg (range 53–105). The mean HR was 148 beats/min (range 130–180), which correlated positively (r = 0.39, p = 0.02) with BV (higher HR was associated with higher BV). The mean base excess was −3.19 mmol/l (range −18 to +6.2). The negative base excess correlated significantly positively (r = 0.41, p < 0.01) with BV (more acidotic babies tended to have higher BV). There was no significant correlation between core-peripheral temperature difference, mean arterial pressure, or packed cell volume and BV. Regression analysis showed that base excess and HR were significantly related to BV; base excess alone can predict variability in BV only to17%, and base excess with HR can predict variability in BV to 29%. Conclusion: The conventional clinical and laboratory indices are poor predictors of measured blood volume.</description><subject>base deficit</subject><subject>Biotin</subject><subject>blood volume</subject><subject>Blood Volume - physiology</subject><subject>Blood Volume Determination - methods</subject><subject>Blood Volume Determination - standards</subject><subject>c-pT</subject><subject>core-peripheral temperature difference</subject><subject>Female</subject><subject>Gestational Age</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Infant, Premature</subject><subject>Infant, Premature, Diseases - physiopathology</subject><subject>Infants</subject><subject>Male</subject><subject>mean arterial pressure</subject><subject>Original</subject><subject>packed cell volume</subject><subject>PCV</subject><subject>Predictive Value of Tests</subject><subject>RCV</subject><subject>red cell volume</subject><subject>Regression analysis</subject><issn>1359-2998</issn><issn>1468-2052</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkctv1DAQhy1ERduFMzdkCYlDpWz9ip1cqNACpQ_KgdfRspMJ9TaJF9up4L_Hq6xayoWTLc3nn2fmQ-g5JUtKuTw2bbNkhPAl4TUh1SN0QIWsCkZK9jjfeVkXrK6rfXQY45oQQpVST9A-LRklUrED9PYsYpfwxsfobA84ebwJ0Lom4XQN2Pbet_jW99MA2HfY4Oiamy2SIAzYjZ0Z08lTtNeZPsKz3blAX9-_-7L6UFx-Oj1bvbksrKhJKqwygnetZG1lFG-FaExbGsI7ocBaokzNoZOKS247W1cESi5KYLWoqLS1Bb5Ar-fczWQHaBsYUzC93gQ3mPBbe-P0w8rorvUPf6upYlRxkQNe7QKC_zlBTHpwsYG-NyP4KWoppeDbBhbo5T_g2k9hzMPlrIoIWlJaZep4ppqQ9xegu2uFEr31o7MfvfWjZz_5xYu_J7jnd0IyUMyAiwl-3dVNuNF5M6rUV99W-uri--nn1flHfZH5o5m3w_q_v_8BPwunnQ</recordid><startdate>200407</startdate><enddate>200407</enddate><creator>Aladangady, N</creator><creator>Aitchison, T C</creator><creator>Beckett, C</creator><creator>Holland, B M</creator><creator>Kyle, B M</creator><creator>Wardrop, C A J</creator><general>BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200407</creationdate><title>Is it possible to predict the blood volume of a sick preterm infant?</title><author>Aladangady, N ; Aitchison, T C ; Beckett, C ; Holland, B M ; Kyle, B M ; Wardrop, C A J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b490t-b7a43fd62d8a73d44cad5a03f47ebb07a93ef67363bfb980e5345e294816b9be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>base deficit</topic><topic>Biotin</topic><topic>blood volume</topic><topic>Blood Volume - physiology</topic><topic>Blood Volume Determination - methods</topic><topic>Blood Volume Determination - standards</topic><topic>c-pT</topic><topic>core-peripheral temperature difference</topic><topic>Female</topic><topic>Gestational Age</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Infant, Premature</topic><topic>Infant, Premature, Diseases - physiopathology</topic><topic>Infants</topic><topic>Male</topic><topic>mean arterial pressure</topic><topic>Original</topic><topic>packed cell volume</topic><topic>PCV</topic><topic>Predictive Value of Tests</topic><topic>RCV</topic><topic>red cell volume</topic><topic>Regression analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aladangady, N</creatorcontrib><creatorcontrib>Aitchison, T C</creatorcontrib><creatorcontrib>Beckett, C</creatorcontrib><creatorcontrib>Holland, B M</creatorcontrib><creatorcontrib>Kyle, B M</creatorcontrib><creatorcontrib>Wardrop, C A J</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Archives of disease in childhood. Fetal and neonatal edition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aladangady, N</au><au>Aitchison, T C</au><au>Beckett, C</au><au>Holland, B M</au><au>Kyle, B M</au><au>Wardrop, C A J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is it possible to predict the blood volume of a sick preterm infant?</atitle><jtitle>Archives of disease in childhood. Fetal and neonatal edition</jtitle><addtitle>Arch Dis Child Fetal Neonatal Ed</addtitle><date>2004-07</date><risdate>2004</risdate><volume>89</volume><issue>4</issue><spage>F344</spage><epage>F347</epage><pages>F344-F347</pages><issn>1359-2998</issn><eissn>1468-2052</eissn><abstract>Objective: To investigate the relation between the measured intravascular blood volume (BV) and current methods of indirectly assessing BV status in sick preterm infants on the first day of life. Methods: Thirty eight preterm infants of gestation 24–32 weeks (median 30) and weight 480–2060 g (median 1220) were studied. Red cell volume was measured by the fetal haemoglobin dilution method in six infants and by the biotin labelled autologous red cell dilution method in the remaining 32. Total BV was calculated by dividing red cell volume by packed cell volume. Indirect assessments of BV status using heart rate (HR), core-peripheral temperature difference, mean arterial pressure, base excess, and packed cell volume were recorded. Results: The mean (SD) initial measured BV was 71 (12) ml/kg (range 53–105). The mean HR was 148 beats/min (range 130–180), which correlated positively (r = 0.39, p = 0.02) with BV (higher HR was associated with higher BV). The mean base excess was −3.19 mmol/l (range −18 to +6.2). The negative base excess correlated significantly positively (r = 0.41, p < 0.01) with BV (more acidotic babies tended to have higher BV). There was no significant correlation between core-peripheral temperature difference, mean arterial pressure, or packed cell volume and BV. Regression analysis showed that base excess and HR were significantly related to BV; base excess alone can predict variability in BV only to17%, and base excess with HR can predict variability in BV to 29%. Conclusion: The conventional clinical and laboratory indices are poor predictors of measured blood volume.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</pub><pmid>15210672</pmid><doi>10.1136/adc.2003.039008</doi><oa>free_for_read</oa></addata></record> |
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| subjects | base deficit Biotin blood volume Blood Volume - physiology Blood Volume Determination - methods Blood Volume Determination - standards c-pT core-peripheral temperature difference Female Gestational Age Heart rate Humans Infant, Newborn Infant, Premature Infant, Premature, Diseases - physiopathology Infants Male mean arterial pressure Original packed cell volume PCV Predictive Value of Tests RCV red cell volume Regression analysis |
| title | Is it possible to predict the blood volume of a sick preterm infant? |
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