Seasonality in trauma admissions – Are daylight and weather variables better predictors than general cyclic effects?

Røislien, Jo; Søvik, Signe; Eken, Torsten

doi:10.1371/journal.pone.0192568

Cited by 26 publications

(24 citation statements)

References 35 publications

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“…We found a higher rate of admissions during the weekend, in accordance with other studies on trauma admissions (Kieffer et al 2016 ; Stonko et al 2018 ; Roislien et al 2018 ; Bjarkø et al 2019 ). The increased admission rate during afternoon, evening and at nighttime in weekends has also been found in other trauma centers (Stonko et al 2018 ; Vaziri et al 2007 ), both studies found penetrating trauma peaked around midnight – a few hours later than blunt trauma.…”

Section: Discussionsupporting

confidence: 92%

“…Studies on trauma populations describe trends towards increased admissions associated with warmer weather and summer months (northern temperate zone) (Kieffer et al 2016 ; Ali and Willett 2015 ; Rising et al 2006 ; Roislien et al 2018 ; Bjarkø et al 2019 ). However, our study did not identify significant variations between monthly admissions or TBI severity during the five-year period.…”

Section: Discussionmentioning

confidence: 99%

“…Hence, for in hospital resource planning accurate information on patient load, patient characteristics, injury severity and time of admittance is of great importance. Several studies have shown the number of admissions for trauma patients increases on weekends, in the evenings, and are subject to seasonal variation (Kieffer et al 2016 ; Robertson and Giannoudis 2004 ; Stonko et al 2018 ; Vaziri et al 2007 ; Ali and Willett 2015 ; Rising et al 2006 ; Roislien et al 2018 ). We wanted to study the extent this is applicable to TBI patients.…”

Section: Introductionmentioning

confidence: 99%

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Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

et al. 2020

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Background: The vast majority of hospital admitted patients with traumatic brain injury (TBI) will have intracranial injury identified by neuroimaging, requiring qualified staff and hospital beds. Moreover, increased pressure in health care services is expected because of an aging population. Thus, a regular evaluation of characteristics of hospital admitted patients with TBI is needed. Oslo TBI Registry-Neurosurgery prospectively register all patients with TBI identified by neuroimaging admitted to a trauma center for southeast part of Norway. The purpose of this study is to describe this patient population with respect to case load, time of admission, age, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival. Methods: Data for 5 years was extracted from Oslo TBI Registry-Neurosurgery. Case load, time of admission, age, sex, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival was compiled and compared. Results: From January 1st, 2015 to December 31st, 2019, 2153 consecutive patients with TBI identified by neuroimaging were registered. The admission rate of TBI of all severities has been stable year-round since 2015. Mean age was 52 years (standard deviation 25, range 0-99), and 68% were males. Comorbidities were common; 28% with pre-injury ASA score of ≥3 and 25% used antithrombotic medication. The dominating cause of injury in all ages was falls (55%) but increased with age. Upon admission, the head injury was classified as mild TBI in 46%, moderate in 28%, and severe (Glasgow coma score ≤ 8) in 26%. Case load was stable without seasonal variation. Majority of patients (68%) were admitted during evening, night or weekend. 68% was admitted to intensive care unit. Length of hospital stay was 4 days (median, interquartile range 3-9). 30-day survival for mild, moderate and severe TBI was 98, 94 and 69%, respectively. Conclusions: The typical TBI patients admitted to hospital with abnormal neuroimaging were aged 50-79 years, often with significant comorbidity, and admitted outside ordinary working hours. This suggests the necessity for allhour presence of competent health care professionals.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

et al. 2020

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“…32 These seasonal variations are typical and locally related to social norms, weather patterns, scheduled public events, and other environmental factors. 33,34 Our data demonstrate an association between pandemic-related public health measures and both trauma patient volume and injury profile at an urban Level I trauma center. Social isolation policies instituted in March 2020 were associated with a sharp increase in IVT, in spite of a decrease in NIT and overall ED patient volume.…”

Section: Comparisons Across 2015-2020mentioning

confidence: 70%

Increased Firearm Injury During the COVID-19 Pandemic: A Hidden Urban Burden

Abdallah

Zhao

Kaufman

et al. 2021

Journal of the American College of Surgeons

105

117

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BACKGROUND: Public health measures were instituted to reduce COVID-19 spread. A decrease in total emergency department volume followed, but the impact on injury is unknown. With lockdown and social distancing potentially increasing domicile discord, we hypothesized that intentional injury increased during COVID-19, driven primarily by an increase in penetrating trauma. STUDY DESIGN: A retrospective review of acute adult patient care in an urban Level I trauma center assessed injury patterns. Presenting patient characteristics and diagnoses from 6 weeks pre to 10 weeks post statewide stay-at-home orders (March 16, 2020) were compared, as well as with 2015-2019. Subsets were defined by intentionality (intentional vs nonintentional) and mechanism of injury (blunt vs penetrating). Fisher exact and Wilcoxon tests were used to compare proportions and means.

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“…Weather variables that showed significant positive assciations with hospital admission included: a rainfall effect on psychiatric hospital admission [ 49 ], sunshine and daylight effects on hospital trauma [ 50 ] and psychaitric admissions [ 51 ], wind speed effects on chest disease hospital admission [ 44 ], and air pressure effects on mania and depression hospital admission [ 49 ].…”

Section: Resultsmentioning

confidence: 99%

The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: A systematic scoping review

et al. 2020

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Background Air-pollution and weather exposure beyond certain thresholds have serious effects on public health. Yet, there is lack of information on wider aspects including the role of some effect modifiers and the interaction between air-pollution and weather. This article aims at a comprehensive review and narrative summary of literature on the association of air-pollution and weather with mortality and hospital admissions; and to highlight literature gaps that require further research. Methods We conducted a scoping literature review. The search on two databases (PubMed and Web-of-Science) from 2012 to 2020 using three conceptual categories of “environmental factors”, “health outcomes”, and “Geographical region” revealed a total of 951 records. The narrative synthesis included all original studies with time-series, cohort, or case cross-over design; with ambient air-pollution and/or weather exposure; and mortality and/or hospital admission outcomes. Results The final review included 112 articles from which 70 involved mortality, 30 hospital admission, and 12 studies included both outcomes. Air-pollution was shown to act consistently as risk factor for all-causes, cardiovascular, respiratory, cerebrovascular and cancer mortality and hospital admissions. Hot and cold temperature was a risk factor for wide range of cardiovascular, respiratory, and psychiatric illness; yet, in few studies, the increase in temperature reduced the risk of hospital admissions for pulmonary embolism, angina pectoris, chest, and ischemic heart diseases. The role of effect modification in the included studies was investigated in terms of gender, age, and season but not in terms of ethnicity. Conclusion Air-pollution and weather exposure beyond certain thresholds affect human health negatively. Effect modification of important socio-demographics such as ethnicity and the interaction between air-pollution and weather is often missed in the literature. Our findings highlight the need of further research in the area of health behaviour and mortality in relation to air-pollution and weather, to guide effective environmental health precautionary measures planning.

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Seasonality in trauma admissions – Are daylight and weather variables better predictors than general cyclic effects?

Cited by 26 publications

References 35 publications

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

Increased Firearm Injury During the COVID-19 Pandemic: A Hidden Urban Burden

The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: A systematic scoping review

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