Frequency and perforin expression of different lymphocyte subpopulations in patients with lower limb fracture and thoracic injury

Gržalja, Nikola; Cicvarić, Tedi; Knežević, Danijel; Kuharić, Janja; Šustić, Alan; Bakota, Bore; Komen, Simona; Tokmadžić, Vlatka Sotošek

doi:10.1016/s0020-1383(17)30730-1

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…With the advancement of resuscitation strategies, damage control surgery and supportive care, many inpatients can survive the early stage. However, for these early survivors, delayed death due to sepsis and multiple organ dysfunction syndrome (MODS) is also frequent [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Early alterations of circulating immune cell counts in severe trauma patients are related to later occurrence of nosocomial infection, sepsis and mortality

Dong

Wang

Liu

et al. 2019

Preprint

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Background: Severe trauma leads to extensive disturbances of the innate and adaptive arms of the immune system, which in turn may affect the prognosis. The main objective of this study was to investigate the relationship between the alterations of circulating immune cell counts in the early stage of severe trauma and the later occurrence of nosocomial infection, sepsis and mortality. Methods: This was a retrospective study of 876 patients with an Injury Severity Score (ISS) ≥ 16. Demographic data, the absolute counts of neutrophil, lymphocyte and monocyte (ANC, ALC and AMC) on days 1, 3, and 7 (D1, D3, and D7) after trauma, and whether nosocomial infection, sepsis or death occurred within 60 days were recorded. Ratios were calculated between immune cell counts of each two time points, namely day 3/day 1 (D3/D1) and day 7/day 3 (D7/D3). Patients were grouped based on ISS and the occurrence of nosocomial infection, sepsis or death. Comparative studies were conducted between each two groups. Univariate and multivariate logistic regression analysis were used to identify variables related to the risk of nosocomial infection, sepsis, and mortality. Receiver operating characteristic (ROC) curve was plotted to assess the predictive value of various risk factors. Results: More severe trauma leads to more pronounced increase in ANC and more slowly recovery of ALC. In patients with subsequent nosocomial infection and sepsis, ANC was higher and ALC recovery was slower than those without nosocomial infection and sepsis within 7 days. In non-survivors, ALC had not recovered and AMC (D3) and AMC (D7) was lower than survivors within 7 days. ALC (D3) and ALC (D3/D1) are independent risk factors for nosocomial infection and sepsis. ALC (D3), ALC (D3/D1), ALC (D7) and AMC (D7) are independent risk factors for death. The combination of ALC (D3/D1) and ALC (D3) had a good predictive value for the occurrence of nosocomial infection, sepsis, and mortality. Conclusions: More severe trauma causes more intense interference to circulating immunocyte counts. Worse alterations in circulating immunocyte counts within 7 days may increase the risk of subsequent nosocomial infection, sepsis and mortality.

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Section: Introductionmentioning

confidence: 99%

Early alterations of circulating immune cell counts in severe trauma patients are related to later occurrence of nosocomial infection, sepsis and mortality

Dong

Wang

Liu

et al. 2019

Preprint

View full text Add to dashboard Cite

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Predictive value of soluble fibrinogen-like protein 2 for survival in traumatic patients with sepsis

Yang

Chen

Yang

et al. 2020

Clinica Chimica Acta

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Clinical predictors of prognosis in patients with traumatic brain injury combined with extracranial trauma

Liu¹,

Xie²,

Xiao³

et al. 2021

Int. J. Med. Sci.

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Objective: The purpose of this study was to investigate whether routine blood tests on admission and clinical characteristics can predict prognosis in patients with traumatic brain injury (TBI) combined with extracranial trauma. Methods: Clinical data of 182 patients with TBI combined with extracranial trauma from April 2018 to December 2019 were retrospectively collected and analyzed. Based on GOSE score one month after discharge, the patients were divided into a favorable group (GOSE 1-4) and unfavorable group (GOSE 5-8). Routine blood tests on admission and clinical characteristics were recorded. Results: Overall, there were 48 (26.4%) patients with unfavorable outcome and 134 (73.6%) patients with favorable outcome. Based on multivariate analysis, independent risk factors associated with unfavorable outcome were age (odds ratio [OR], 1.070; 95% confidence interval [CI], 1.018-1.124; p< 0.01), admission Glasgow Coma Scale (GCS) score (OR, 0.807; 95% CI, 0.675-0.965; p< 0.05), heart rate (OR, 1.035; 95% CI, 1.004-1.067; p< 0.05), platelets count (OR, 0.982; 95% CI, 0.967-0.997; p< 0.05), and tracheotomy (OR, 15.201; 95% CI, 4.121-56.078; p< 0.001). Areas under the curve (AUC) of age, admission GCS, heart rate, tracheotomy, and platelets count were 0.678 (95% CI, 0.584-0.771), 0.799 (95% CI, 0.723-0.875), 0.652 (95% CI, 0.553-0.751), 0.776 (95% CI, 0.692-0.859), and 0.688 (95% CI, 0.606-0.770), respectively. Conclusions: Age, admission GCS score, heart rate, tracheotomy, and platelets count can be recognized as independent predictors of clinical prognosis in patients with severe TBI combined with extracranial trauma.

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Frequency and perforin expression of different lymphocyte subpopulations in patients with lower limb fracture and thoracic injury

Cited by 3 publications

References 43 publications

Early alterations of circulating immune cell counts in severe trauma patients are related to later occurrence of nosocomial infection, sepsis and mortality

Early alterations of circulating immune cell counts in severe trauma patients are related to later occurrence of nosocomial infection, sepsis and mortality

Predictive value of soluble fibrinogen-like protein 2 for survival in traumatic patients with sepsis

Clinical predictors of prognosis in patients with traumatic brain injury combined with extracranial trauma

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