| Literature DB >> 35748018 |
Fen Xie1,2, Qingxia Shu1,2, Zheng-Ying Chen1, Jinxiu Li1.
Abstract
OBJECTIVE: To investigate the factors that influence the length of stay (LOS) in a neonatal intensive care unit (NICU).Entities:
Keywords: Newborn; influencing factor; length of stay; neonatal intensive care unit
Mesh:
Year: 2022 PMID: 35748018 PMCID: PMC9247289 DOI: 10.1177/03000605221100753
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.573
Figure 1.Flow chart showing enrolment, exclusion and analysis of newborns admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China over a 9-year period that were enrolled in a study to investigate the factors influencing the length of stay.
Figure 2.Box-whisker plots of the length of stay of newborns (n = 16 094) admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China between 2012 and 2020. The colour version of this figure is available at: http://imr.sagepub.com.
Univariate analysis of the relationship between patient characteristics and length of stay (LOS) in newborns (n = 16 094) admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China over a 9-year period.
| Characteristic |
| LOS, days | X2 | Statistical analysis |
|---|---|---|---|---|
| Sex | ||||
| Male | 9482 | 11.27 | 3.113a | |
| Female | 6612 | 10.80 | ||
| Patient source | ||||
| Inborn | 9615 | 11.50 | 7.310a | |
| Outborn | 6479 | 10.45 | ||
| Delivery method | ||||
| Vaginal | 6965 | 10.70 | 10.198b | |
| Caesarean | 9096 | 11.37 | ||
| Induced labour | 33 | 11.19 | ||
| Gestational age, weeks | ||||
| <28 | 79 | 35.32 | 1012.938b | |
| 28–31 + 6 | 923 | 26.19 | ||
| 32–34 + 6 | 2345 | 14.51 | ||
| 35–36 + 6 | 3255 | 10.64 | ||
| 37–41 + 6 | 9445 | 8.70 | ||
| ≥42 | 47 | 10.64 | ||
| Birth weight, g | ||||
| <1000 | 60 | 32.53 | 1113.867b | |
| 1000–1499 | 707 | 28.01 | ||
| 1500–2499 | 4542 | 13.39 | ||
| 2500–3999 | 10 155 | 8.86 | ||
| ≥4000 | 630 | 9.10 | ||
| Comorbiditiesc | ||||
| Only one disease | 2266 | 8.68 | 55.387a | |
| ≥2 diseases | 13 723 | 11.49 |
Data presented as n of patients and LOS presented as mean.
aGroups were compared using Student’s t-test; bgroups were compared using F-test.
cOne disease was defined as there being only one disease between admission and discharge; ≥2 diseases was defined as two or more diseases or clinical conditions that coexisted with the primary disease and were independent of each other.
The Cox regression analysis of the relationship between patient characteristics and length of stay in newborns (n = 16 094) admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China over a 9-year period.
| Characteristic | β | SE | Wald | HR | 95% CI | |
|---|---|---|---|---|---|---|
| Sex | 0.086 | 0.016 | 28.877 | 1.090 | 1.056, 1.125 | |
| Patient source | –0.200 | 0.017 | 136.860 | 0.819 | 0.792, 0.847 | |
| Delivery method | –0.037 | 0.016 | 5.544 | 0.963 | 0.934, 0.994 | |
| Gestational age, weeks | 0.318 | 0.011 | 791.341 | 1.375 | 1.345, 1.406 | |
| Birth weight, g | 0.264 | 0.016 | 277.328 | 1.262 | 1.262, 1.343 | |
| Comorbidities | –0.245 | 0.021 | 137.027 | 0.751 | 0.751, 0.815 |
SE, standard error; HR, hazard ratio; CI, confidence interval.
Figure 3.The relationship between sex (a), patient source (b) and delivery method (c) with length of stay in newborns (n = 16 094) admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China over a 9-year period. The colour version of this figure is available at: http://imr.sagepub.com.
Figure 4.Box-whisker plots showing the relationship between different gestational ages (a) and birth weights (b) with length of stay in newborns (n = 16 094) admitted to a neonatal intensive care unit of a tertiary hospital in Western Hunan, China over a 9-year period. The colour version of this figure is available at: http://imr.sagepub.com.