Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis
Current biomarkers for the diagnosis of neonatal sepsis llave limited accuracy. The development of precision medicine based on omic's technologies offer an opportunity to improve the diagnosis of neonatal sepsis. To evalúate the sensitivity and specificity of tests based on omic technologies (m...
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| Veröffentlicht in: | Revista chilena de infectología 2021-10, Vol.38 (5), p.678-687 |
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| container_title | Revista chilena de infectología |
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| creator | Agudelo-Pérez, Sergio Iván Molina-Castaño, Carlos Quintero, Laura |
| description | Current biomarkers for the diagnosis of neonatal sepsis llave limited accuracy. The development of precision medicine based on omic's technologies offer an opportunity to improve the diagnosis of neonatal sepsis.
To evalúate the sensitivity and specificity of tests based on omic technologies (metabolomics, proteomics and genomics) for the diagnosis of neonatal sepsis.
A systematic review was carried out in electronic databases. Observational studies and clinical trials evaluating tests based on omic technologies in neonates compared to culture for the diagnosis of neonatal sepsis were included. For the meta-analysis, a random effects model and an evaluation of heterogeneity were proposed through a subgroup analysis by omic test, gestational age and time of establishment of sepsis.
Differential expression of the genome, proteome and metabolome is observed between neonates with and without sepsis, identifying different biomarkers. The meta-analysis showed a pooled summary measure for sensitivity of0.88 (95% CI 0.72, 0.96), specificity of0.76 (95% CI 0.62, 0.85).
Omics-based tests have a high sensitivity, with the best performing ones being those based on genomics / transcriptomics. The studies have high heterogeneity. |
| doi_str_mv | 10.4067/s0716-10182021000500678 |
| format | Article |
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To evalúate the sensitivity and specificity of tests based on omic technologies (metabolomics, proteomics and genomics) for the diagnosis of neonatal sepsis.
A systematic review was carried out in electronic databases. Observational studies and clinical trials evaluating tests based on omic technologies in neonates compared to culture for the diagnosis of neonatal sepsis were included. For the meta-analysis, a random effects model and an evaluation of heterogeneity were proposed through a subgroup analysis by omic test, gestational age and time of establishment of sepsis.
Differential expression of the genome, proteome and metabolome is observed between neonates with and without sepsis, identifying different biomarkers. The meta-analysis showed a pooled summary measure for sensitivity of0.88 (95% CI 0.72, 0.96), specificity of0.76 (95% CI 0.62, 0.85).
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To evalúate the sensitivity and specificity of tests based on omic technologies (metabolomics, proteomics and genomics) for the diagnosis of neonatal sepsis.
A systematic review was carried out in electronic databases. Observational studies and clinical trials evaluating tests based on omic technologies in neonates compared to culture for the diagnosis of neonatal sepsis were included. For the meta-analysis, a random effects model and an evaluation of heterogeneity were proposed through a subgroup analysis by omic test, gestational age and time of establishment of sepsis.
Differential expression of the genome, proteome and metabolome is observed between neonates with and without sepsis, identifying different biomarkers. The meta-analysis showed a pooled summary measure for sensitivity of0.88 (95% CI 0.72, 0.96), specificity of0.76 (95% CI 0.62, 0.85).
Omics-based tests have a high sensitivity, with the best performing ones being those based on genomics / transcriptomics. The studies have high heterogeneity.</description><subject>Biomarkers</subject><subject>Gestational Age</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Neonatal Sepsis - diagnosis</subject><subject>Precision Medicine</subject><subject>Sepsis - diagnosis</subject><issn>0717-6341</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kEtLxDAUhYMgzjj6FzRLN9XcPFt3MviCAV3MUihJe6ORNq1NR5l_b8BxdeHcj8M5h5BLYNeSaXOTmAFdAIOSMw6MMcWyXB6RZX6YQgsJC3Ka0idj3GiAE7IQSjFdCrkkb68TNiGFIdIe29CEiNQPE50_kLbBvschhUQHTyMO0c62ownHLN3StE8z9nYODZ3wO-APtbHNJrMtbLTdPkNn5NjbLuH54a7I9uF-u34qNi-Pz-u7TTEqLQsFSnNVWSe8QAlCK6lAgDGlEyVoBGe4axplvZUVdxy8c1p5z9G0DngpVuTqz3achq8dprnuQ2qw62wOvUs116rSjFeqyujFAd253Lcep9DbaV__DyJ-AVL3Ym0</recordid><startdate>202110</startdate><enddate>202110</enddate><creator>Agudelo-Pérez, Sergio Iván</creator><creator>Molina-Castaño, Carlos</creator><creator>Quintero, Laura</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>202110</creationdate><title>Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis</title><author>Agudelo-Pérez, Sergio Iván ; Molina-Castaño, Carlos ; Quintero, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p564-5156259ab3f3e4136545131778b3816e1b72bcc5afa492b21fbb65ff2e7db1283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>spa</language><creationdate>2021</creationdate><topic>Biomarkers</topic><topic>Gestational Age</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Neonatal Sepsis - diagnosis</topic><topic>Precision Medicine</topic><topic>Sepsis - diagnosis</topic><toplevel>online_resources</toplevel><creatorcontrib>Agudelo-Pérez, Sergio Iván</creatorcontrib><creatorcontrib>Molina-Castaño, Carlos</creatorcontrib><creatorcontrib>Quintero, Laura</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Revista chilena de infectología</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Agudelo-Pérez, Sergio Iván</au><au>Molina-Castaño, Carlos</au><au>Quintero, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis</atitle><jtitle>Revista chilena de infectología</jtitle><addtitle>Rev Chilena Infectol</addtitle><date>2021-10</date><risdate>2021</risdate><volume>38</volume><issue>5</issue><spage>678</spage><epage>687</epage><pages>678-687</pages><eissn>0717-6341</eissn><abstract>Current biomarkers for the diagnosis of neonatal sepsis llave limited accuracy. The development of precision medicine based on omic's technologies offer an opportunity to improve the diagnosis of neonatal sepsis.
To evalúate the sensitivity and specificity of tests based on omic technologies (metabolomics, proteomics and genomics) for the diagnosis of neonatal sepsis.
A systematic review was carried out in electronic databases. Observational studies and clinical trials evaluating tests based on omic technologies in neonates compared to culture for the diagnosis of neonatal sepsis were included. For the meta-analysis, a random effects model and an evaluation of heterogeneity were proposed through a subgroup analysis by omic test, gestational age and time of establishment of sepsis.
Differential expression of the genome, proteome and metabolome is observed between neonates with and without sepsis, identifying different biomarkers. The meta-analysis showed a pooled summary measure for sensitivity of0.88 (95% CI 0.72, 0.96), specificity of0.76 (95% CI 0.62, 0.85).
Omics-based tests have a high sensitivity, with the best performing ones being those based on genomics / transcriptomics. The studies have high heterogeneity.</abstract><cop>Chile</cop><pmid>35506834</pmid><doi>10.4067/s0716-10182021000500678</doi><tpages>10</tpages></addata></record> |
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| ispartof | Revista chilena de infectología, 2021-10, Vol.38 (5), p.678-687 |
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| language | spa |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Biomarkers Gestational Age Humans Infant, Newborn Neonatal Sepsis - diagnosis Precision Medicine Sepsis - diagnosis |
| title | Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis |
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