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1.
Am J Perinatol ; 39(2): 189-194, 2022 01.
Artigo em Inglês | MEDLINE | ID: mdl-32702769

RESUMO

OBJECTIVE: This study aimed to determine the impact of neonatal intensive care unit (NICU) design and environmental factors on neonatal sound exposures. We hypothesized that monitoring with a smartphone application would identify modifiable environmental factors in different NICU design formats. STUDY DESIGN: Minimum, maximum, and peak decibel (dB) recordings were obtained using the Decibel X phone app, and the presence of noise sources was recorded in each patient space at three NICUs over a 6-month period (December 2017 to May 2018). Data were analyzed by Student's t-test and ANOVA with Bonferroni correction. Data were collected at the University of Maryland Medical Center single family room (SFR) level IV and St. Agnes Healthcare hybrid pod/single family room level III NICU, Baltimore, MD and at Prince George's Hospital Center open-pod design Level III NICU, Cheverly, MD. RESULTS: All recordings in the three NICUs exceeded the American Academy of Pediatrics (AAP) recommended <45 dB level. The maximum and peak dB were highest in the open pod format level III NICU. Conversations/music alone and combined with other factors contributed to increased sound exposure. Sound exposure varied by day/night shift, with higher day exposures at the level III hybrid and open pod NICUs and higher night exposures at the level IV SFR NICU. CONCLUSION: Although sound exposure varied by NICU design, all recordings exceeded the AAP recommendation due, in part, to potentially modifiable environmental factors. A smartphone application may be useful for auditing NICU sound exposure in quality improvements efforts to minimize environmental sound exposure. KEY POINTS: · Smartphone application was used to assess NICU sound exposure.. · All cases of sound exposure exceed recommendations.. · A smartphone application was used to identify modifiable factors..


Assuntos
Monitoramento Ambiental , Unidades de Terapia Intensiva Neonatal/organização & administração , Aplicativos Móveis , Ruído Ocupacional/efeitos adversos , Smartphone , Comunicação , Equipamentos e Provisões Hospitalares , Humanos , Recém-Nascido , Maryland , Admissão e Escalonamento de Pessoal
2.
Pediatr Res ; 88(4): 618-622, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32005034

RESUMO

BACKGROUND: To test the hypothesis that dopamine is associated with impaired cerebral autoregulation (ICA) in a dose-dependent fashion. METHODS: Non a priori designed secondary analysis of a prospectively enrolled cohort study subjects <12 h of life between 240 and 296 weeks gestation. Cerebral saturations (rScO2) and mean arterial blood pressure (MAP) were continuously monitored every 30 s for 96 h. ICA was defined by a 10 min epoch rScO2-MAP correlation coefficient of >0.5. RESULTS: Twenty-three of 61 subjects (38%) required dopamine. Time spent with ICA was 23% in dopamine-exposed subjects vs. 14% in those not exposed (p = 0.0001). On the epoch level, time spent with ICA was 15%, 29%, 34%, 37%, and 23% in epochs with dopamine titration of 0, 1-5, 6-10, 11-15, and 16-20 µg/kg/min, respectively. Using mixed-effect modeling, ICA for each dopamine titration was significantly higher than unexposed times when controlling for gestation, presence of a patent ductus arteriosus, day of life, MAP less than gestational age, and illness severity score (p < 0.02). CONCLUSIONS: Dopamine exposure during the first 96 h was associated with ICA. Time periods with ICA increased with dopamine exposure in a dose-dependent fashion peaking at a concentration of 11-15 µg/kg/min.


Assuntos
Encéfalo/metabolismo , Dopamina/metabolismo , Peso ao Nascer , Circulação Cerebrovascular/fisiologia , Interpretação Estatística de Dados , Dopamina/uso terapêutico , Relação Dose-Resposta a Droga , Permeabilidade do Canal Arterial/complicações , Feminino , Humanos , Recém-Nascido , Recém-Nascido Prematuro/fisiologia , Unidades de Terapia Intensiva Neonatal , Terapia Intensiva Neonatal , Masculino , Modelos Teóricos , Estudos Prospectivos , Índice de Gravidade de Doença , Fatores de Tempo
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