This preprint is under consideration at BMC Pediatrics. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Rehospitalisation Risk Factors and Rates in Preterm Babies: A Systematic Review and Meta-Analysis
Andrei Morgan
Université de Paris, Epidemiology and Statistics Research Center/CRESS, INSERM, INRA, F-75004 Paris
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective: To systematically review evidence of risk factors and rates for rehospitalisations within one month of discharge for babies born at <37 weeks gestation.
Design: Systematic review and meta-analysis
Data Sources: PubMed (including MEDLINE and life science journals), Web of Science and reference lists of included articles.
Study Selection: Inclusion criteria were studies published in English or French between 01 January 2000 to 31 March 2019, recruiting from the year 2000 onwards evaluating risk factors for rehospitalisation within one month of discharge in preterm babies. Two reviewers independently selected relevant studies, extracted study details, baseline characteristics and results of risk factor analyses.
Results: Across 14 included studies, five studied babies of <37 weeks gestation, seven studied late preterm babies (34-36 weeks gestation), and two studied very to moderate preterm babies (<34 weeks gestation). Important risk factors were low birth weight, respiratory morbidity, male sex and lower socioeconomic status in <37 week babies, and shorter length of stay among late preterm babies. Pooled rehospitalisation rates were 4.3% (95% CI 1.9-9.7) in <37 week babies and 6.6% (95% CI 3.2-13.4) in late preterm babies. There was high heterogeneity in risk factors included in analyses and studies often lacked clarity on variable measurement and confounder adjustment.
Conclusion: We found evidence for clinical and socioeconomic risk factors, high heterogeneity and important limitations. Limitations included a lack of breadth in both the gestational age ranges and risk factors studied, as well as lack of clarity around variable measurement and confounder adjustment
Keywords
Prematurity, Neonatology, Rehospitalisation, Epidemiology, Systematic review, Meta-analysis
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- supplementfile1srfinaldec20.doc
Online supplemental 1. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines checklist
- supplementfile2srfinaldec20.pdf
Online supplemental 2. Search terms and inclusion criteria for study selection.
- supplementfile3srfinaldec20.pdf
Online supplemental 3. Population characteristics extracted from included studies; n= sample size; sd= standard deviation.
- supplementfile4srfinaldec20.pdf
Online supplemental 4. Quality assessment tables for included studies using CASP tool19.
- supplementfile5srfinaldec20.pdf
Online supplemental 5. Results for risk factor analyses for studies investigating rehospitalisation (within approximately one month) in samples of preterm babies born at <37 weeks gestation. aHR= adjusted hazard ratio; aOR= adjusted odds ratio; RH= rehospitalisation; LCL= lower confidence limit; UCL= upper confidence limit.
- supplementfile6srfinaldec20.pdf
Online supplemental 6. Results for risk factor analyses for studies investigating rehospitalisation (within approximately one month) in samples of preterm babies born at 34-36 weeks gestation. aOR= adjusted odds ratio; RH= rehospitalisation; LCL= lower confidence limit; UCL= upper confidence limit.
- supplementfile7srfinaldec20.pdf
Online supplemental 7. Results for risk factor analyses for studies investigating rehospitalisation (within approximately one month) in samples of preterm babies born at <34 weeks gestation or very low birth weight. aHR= adjusted hazard ratio; aOR= adjusted odds ratio; RH= rehospitalisation; LCL= lower confidence limit; UCL= upper confidence limit; CLD= chronic lung disease; IVH= severe intraventricular haemorrhage; NEC= necrotising enterocolitis
- supplementfile8srfinaldec20.pdf
Online supplemental 8. Synthesis of meta-analyses by gestational age (GA) grouping. RH= rehospitalisation within one month or less of discharge, as defined in each study.*After exclusion of studies with inappropriate study design or insufficient data for meta-analysis.
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 08 Jan, 2021
No community comments so far
Reviewer #1 agreed
On 21 Jan, 2021
Reviewer #2 agreed
On 21 Jan, 2021
Reviewers invited
Invitations sent on 14 Jan, 2021
Editor assigned
On 07 Jan, 2021
Editor invited
On 07 Jan, 2021
Submission checks complete
On 07 Jan, 2021
First submitted
On 27 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Pediatrics
Learn more about our company.
This preprint is under consideration at BMC Pediatrics. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Rehospitalisation Risk Factors and Rates in Preterm Babies: A Systematic Review and Meta-Analysis
Andrei Morgan
Université de Paris, Epidemiology and Statistics Research Center/CRESS, INSERM, INRA, F-75004 Paris
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 08 Jan, 2021
No community comments so far
Reviewer #1 agreed
On 21 Jan, 2021
Reviewer #2 agreed
On 21 Jan, 2021
Reviewers invited
Invitations sent on 14 Jan, 2021
Editor assigned
On 07 Jan, 2021
Editor invited
On 07 Jan, 2021
Submission checks complete
On 07 Jan, 2021
First submitted
On 27 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Pediatrics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective: To systematically review evidence of risk factors and rates for rehospitalisations within one month of discharge for babies born at <37 weeks gestation.
Design: Systematic review and meta-analysis
Data Sources: PubMed (including MEDLINE and life science journals), Web of Science and reference lists of included articles.
Study Selection: Inclusion criteria were studies published in English or French between 01 January 2000 to 31 March 2019, recruiting from the year 2000 onwards evaluating risk factors for rehospitalisation within one month of discharge in preterm babies. Two reviewers independently selected relevant studies, extracted study details, baseline characteristics and results of risk factor analyses.
Results: Across 14 included studies, five studied babies of <37 weeks gestation, seven studied late preterm babies (34-36 weeks gestation), and two studied very to moderate preterm babies (<34 weeks gestation). Important risk factors were low birth weight, respiratory morbidity, male sex and lower socioeconomic status in <37 week babies, and shorter length of stay among late preterm babies. Pooled rehospitalisation rates were 4.3% (95% CI 1.9-9.7) in <37 week babies and 6.6% (95% CI 3.2-13.4) in late preterm babies. There was high heterogeneity in risk factors included in analyses and studies often lacked clarity on variable measurement and confounder adjustment.
Conclusion: We found evidence for clinical and socioeconomic risk factors, high heterogeneity and important limitations. Limitations included a lack of breadth in both the gestational age ranges and risk factors studied, as well as lack of clarity around variable measurement and confounder adjustment
Figure 1
Figure 2