Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data
Background Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infan...
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| Veröffentlicht in: | Pediatric research 2023-08, Vol.94 (2), p.699-706 |
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| creator | Poppe, Jarinda A. Fitzgibbon, Sean P. Taal, H. Rob Loudon, Sjoukje E. Tjiam, Angela M. Roehr, Charles C. Reiss, Irwin K. M. Simons, Sinno H. P. Hartley, Caroline |
| description | Background
Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infants with and without ROP requiring laser treatment.
Methods
In this cohort study, preterm infants with a gestational age |
| doi_str_mv | 10.1038/s41390-023-02504-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10382319</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2777010125</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-240a7e0d774325e5de37db52224c36132c0970930f4fc52b32cf89e83bfc2a2a3</originalsourceid><addsrcrecordid>eNp9kU1v3CAQhlHVqtmm_QM9VJZ66cUtDLDgU1VF6YcUKZfkjFg83iWyjQM4kv99cDZNPw45IKR3Ht6Z4SXkPaOfGeX6SxKMN7SmwMuRVNTbF2TDJC-SEOol2VDKWc2bRp-QNyndUMqE1OI1OeFbpTVovSGHcxv7pZoitt5lH8YqdFXCO4xYRcx-DJPNh2VVCzPYPEefl1K6nX30477qbcJY5Yg2Dzjmak6rOh2W5EMf9t7Zvmpttm_Jq872Cd893qfk-vv51dnP-uLyx6-zbxe1E0rmGgS1CmmrlOAgUbbIVbuTACAc3zIOjjaKNpx2onMSdkXodIOa7zoHFiw_JV-PvtO8G7B1ZaZoezNFP9i4mGC9-bcy-oPZhzuzfilw1hSHT48OMdzOmLIZfHLY93bEMCcDSinKKANZ0I__oTdhjmPZz4AuCwjQaqXgSLkYUorYPU3D6ENbc0zSlCTNQ5JmWx59-HuPpye_oysAPwJpWoPA-Kf3M7b3GE6rvA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2843242875</pqid></control><display><type>article</type><title>Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data</title><source>SpringerLink Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Poppe, Jarinda A. ; Fitzgibbon, Sean P. ; Taal, H. Rob ; Loudon, Sjoukje E. ; Tjiam, Angela M. ; Roehr, Charles C. ; Reiss, Irwin K. M. ; Simons, Sinno H. P. ; Hartley, Caroline</creator><creatorcontrib>Poppe, Jarinda A. ; Fitzgibbon, Sean P. ; Taal, H. Rob ; Loudon, Sjoukje E. ; Tjiam, Angela M. ; Roehr, Charles C. ; Reiss, Irwin K. M. ; Simons, Sinno H. P. ; Hartley, Caroline</creatorcontrib><description>Background
Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infants with and without ROP requiring laser treatment.
Methods
In this cohort study, preterm infants with a gestational age <32 weeks and/or birth weight <1500 g, who were screened for ROP were included. Differences in the physiological data between the laser and non-laser group were identified, and tree-based classification models were trained and independently tested to predict ROP requiring laser treatment.
Results
In total, 208 preterm infants were included in the analysis of whom 30 infants (14%) required laser treatment. Significant differences were identified in the level of hypoxia and hyperoxia, oxygen requirement, and skewness of heart rate. The best model had a balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) and included the SpO
2
/FiO
2
ratio and baseline demographics (including gestational age and birth weight).
Conclusions
Routinely monitored physiological data from preterm infants in the first postnatal month are already predictive of later development of ROP requiring laser treatment, although validation is required in larger cohorts.
Impact
Routinely monitored physiological data from the first postnatal month are predictive of later development of ROP requiring laser treatment, although model performance was not significantly better than baseline characteristics (gestational age, birth weight, sex, multiple birth, prenatal glucocorticosteroids, route of delivery, and Apgar scores) alone.
A balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) was achieved with a model including the SpO
2
/FiO
2
ratio and baseline characteristics.
Physiological data have potential to play a significant role for future ROP prediction and provide opportunities for early interventions to protect infants from abnormal retinal development.</description><identifier>ISSN: 0031-3998</identifier><identifier>EISSN: 1530-0447</identifier><identifier>DOI: 10.1038/s41390-023-02504-6</identifier><identifier>PMID: 36788288</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Apgar score ; Birth weight ; Clinical ; Clinical Research Article ; Gestational age ; Lasers ; Medicine ; Medicine & Public Health ; Multiple births ; Newborn babies ; Pediatric Surgery ; Pediatrics ; Physiology ; Premature babies</subject><ispartof>Pediatric research, 2023-08, Vol.94 (2), p.699-706</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/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><citedby>FETCH-LOGICAL-c475t-240a7e0d774325e5de37db52224c36132c0970930f4fc52b32cf89e83bfc2a2a3</citedby><cites>FETCH-LOGICAL-c475t-240a7e0d774325e5de37db52224c36132c0970930f4fc52b32cf89e83bfc2a2a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41390-023-02504-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41390-023-02504-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36788288$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Poppe, Jarinda A.</creatorcontrib><creatorcontrib>Fitzgibbon, Sean P.</creatorcontrib><creatorcontrib>Taal, H. Rob</creatorcontrib><creatorcontrib>Loudon, Sjoukje E.</creatorcontrib><creatorcontrib>Tjiam, Angela M.</creatorcontrib><creatorcontrib>Roehr, Charles C.</creatorcontrib><creatorcontrib>Reiss, Irwin K. M.</creatorcontrib><creatorcontrib>Simons, Sinno H. P.</creatorcontrib><creatorcontrib>Hartley, Caroline</creatorcontrib><title>Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data</title><title>Pediatric research</title><addtitle>Pediatr Res</addtitle><addtitle>Pediatr Res</addtitle><description>Background
Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infants with and without ROP requiring laser treatment.
Methods
In this cohort study, preterm infants with a gestational age <32 weeks and/or birth weight <1500 g, who were screened for ROP were included. Differences in the physiological data between the laser and non-laser group were identified, and tree-based classification models were trained and independently tested to predict ROP requiring laser treatment.
Results
In total, 208 preterm infants were included in the analysis of whom 30 infants (14%) required laser treatment. Significant differences were identified in the level of hypoxia and hyperoxia, oxygen requirement, and skewness of heart rate. The best model had a balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) and included the SpO
2
/FiO
2
ratio and baseline demographics (including gestational age and birth weight).
Conclusions
Routinely monitored physiological data from preterm infants in the first postnatal month are already predictive of later development of ROP requiring laser treatment, although validation is required in larger cohorts.
Impact
Routinely monitored physiological data from the first postnatal month are predictive of later development of ROP requiring laser treatment, although model performance was not significantly better than baseline characteristics (gestational age, birth weight, sex, multiple birth, prenatal glucocorticosteroids, route of delivery, and Apgar scores) alone.
A balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) was achieved with a model including the SpO
2
/FiO
2
ratio and baseline characteristics.
Physiological data have potential to play a significant role for future ROP prediction and provide opportunities for early interventions to protect infants from abnormal retinal development.</description><subject>Apgar score</subject><subject>Birth weight</subject><subject>Clinical</subject><subject>Clinical Research Article</subject><subject>Gestational age</subject><subject>Lasers</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multiple births</subject><subject>Newborn babies</subject><subject>Pediatric Surgery</subject><subject>Pediatrics</subject><subject>Physiology</subject><subject>Premature babies</subject><issn>0031-3998</issn><issn>1530-0447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1v3CAQhlHVqtmm_QM9VJZ66cUtDLDgU1VF6YcUKZfkjFg83iWyjQM4kv99cDZNPw45IKR3Ht6Z4SXkPaOfGeX6SxKMN7SmwMuRVNTbF2TDJC-SEOol2VDKWc2bRp-QNyndUMqE1OI1OeFbpTVovSGHcxv7pZoitt5lH8YqdFXCO4xYRcx-DJPNh2VVCzPYPEefl1K6nX30477qbcJY5Yg2Dzjmak6rOh2W5EMf9t7Zvmpttm_Jq872Cd893qfk-vv51dnP-uLyx6-zbxe1E0rmGgS1CmmrlOAgUbbIVbuTACAc3zIOjjaKNpx2onMSdkXodIOa7zoHFiw_JV-PvtO8G7B1ZaZoezNFP9i4mGC9-bcy-oPZhzuzfilw1hSHT48OMdzOmLIZfHLY93bEMCcDSinKKANZ0I__oTdhjmPZz4AuCwjQaqXgSLkYUorYPU3D6ENbc0zSlCTNQ5JmWx59-HuPpye_oysAPwJpWoPA-Kf3M7b3GE6rvA</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Poppe, Jarinda A.</creator><creator>Fitzgibbon, Sean P.</creator><creator>Taal, H. Rob</creator><creator>Loudon, Sjoukje E.</creator><creator>Tjiam, Angela M.</creator><creator>Roehr, Charles C.</creator><creator>Reiss, Irwin K. M.</creator><creator>Simons, Sinno H. P.</creator><creator>Hartley, Caroline</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</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>20230801</creationdate><title>Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data</title><author>Poppe, Jarinda A. ; Fitzgibbon, Sean P. ; Taal, H. Rob ; Loudon, Sjoukje E. ; Tjiam, Angela M. ; Roehr, Charles C. ; Reiss, Irwin K. M. ; Simons, Sinno H. P. ; Hartley, Caroline</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-240a7e0d774325e5de37db52224c36132c0970930f4fc52b32cf89e83bfc2a2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Apgar score</topic><topic>Birth weight</topic><topic>Clinical</topic><topic>Clinical Research Article</topic><topic>Gestational age</topic><topic>Lasers</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multiple births</topic><topic>Newborn babies</topic><topic>Pediatric Surgery</topic><topic>Pediatrics</topic><topic>Physiology</topic><topic>Premature babies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Poppe, Jarinda A.</creatorcontrib><creatorcontrib>Fitzgibbon, Sean P.</creatorcontrib><creatorcontrib>Taal, H. Rob</creatorcontrib><creatorcontrib>Loudon, Sjoukje E.</creatorcontrib><creatorcontrib>Tjiam, Angela M.</creatorcontrib><creatorcontrib>Roehr, Charles C.</creatorcontrib><creatorcontrib>Reiss, Irwin K. M.</creatorcontrib><creatorcontrib>Simons, Sinno H. P.</creatorcontrib><creatorcontrib>Hartley, Caroline</creatorcontrib><collection>Springer Nature OA Free Journals</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>Public Health Database</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</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>Pediatric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Poppe, Jarinda A.</au><au>Fitzgibbon, Sean P.</au><au>Taal, H. Rob</au><au>Loudon, Sjoukje E.</au><au>Tjiam, Angela M.</au><au>Roehr, Charles C.</au><au>Reiss, Irwin K. M.</au><au>Simons, Sinno H. P.</au><au>Hartley, Caroline</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data</atitle><jtitle>Pediatric research</jtitle><stitle>Pediatr Res</stitle><addtitle>Pediatr Res</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>94</volume><issue>2</issue><spage>699</spage><epage>706</epage><pages>699-706</pages><issn>0031-3998</issn><eissn>1530-0447</eissn><abstract>Background
Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infants with and without ROP requiring laser treatment.
Methods
In this cohort study, preterm infants with a gestational age <32 weeks and/or birth weight <1500 g, who were screened for ROP were included. Differences in the physiological data between the laser and non-laser group were identified, and tree-based classification models were trained and independently tested to predict ROP requiring laser treatment.
Results
In total, 208 preterm infants were included in the analysis of whom 30 infants (14%) required laser treatment. Significant differences were identified in the level of hypoxia and hyperoxia, oxygen requirement, and skewness of heart rate. The best model had a balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) and included the SpO
2
/FiO
2
ratio and baseline demographics (including gestational age and birth weight).
Conclusions
Routinely monitored physiological data from preterm infants in the first postnatal month are already predictive of later development of ROP requiring laser treatment, although validation is required in larger cohorts.
Impact
Routinely monitored physiological data from the first postnatal month are predictive of later development of ROP requiring laser treatment, although model performance was not significantly better than baseline characteristics (gestational age, birth weight, sex, multiple birth, prenatal glucocorticosteroids, route of delivery, and Apgar scores) alone.
A balanced accuracy of 0.81 (0.72–0.87), a sensitivity of 0.73 (0.64–0.81), and a specificity of 0.88 (0.80–0.93) was achieved with a model including the SpO
2
/FiO
2
ratio and baseline characteristics.
Physiological data have potential to play a significant role for future ROP prediction and provide opportunities for early interventions to protect infants from abnormal retinal development.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>36788288</pmid><doi>10.1038/s41390-023-02504-6</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0031-3998 |
| ispartof | Pediatric research, 2023-08, Vol.94 (2), p.699-706 |
| issn | 0031-3998 1530-0447 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10382319 |
| source | SpringerLink Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Apgar score Birth weight Clinical Clinical Research Article Gestational age Lasers Medicine Medicine & Public Health Multiple births Newborn babies Pediatric Surgery Pediatrics Physiology Premature babies |
| title | Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data |
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