Predictive Factors of Ventilatory Support in Chest Trauma.
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ABSTRACT:
SUBMITTER: Fattori S
PROVIDER: S-EPMC8621668 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivesTo evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support.MethodsA total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1-13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen's kappa (κ) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression.ResultsGGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (κ = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR: 1.19; 95% CI: 1.06, 1.34; p = 0.003), age (OR: 1.16; 95% CI: 1.11, 1.22; p < 0.001), PaO2/FiO2 ratio (OR: 0.99; 95% CI: 0.98, 1; p = 0.002), and cardiovascular diseases (OR: 3.21; 95% CI: 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR: 1.02; 95% CI: 1.01, 1.03; p = 0.001) and PaO2/FiO2 ratio (OR: 0.99; 95% CI: 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support.ConclusionsCXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO2/FiO2 ratio, and SpO2 values to early predict mortality and the need for ventilatory support.Key points• Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. • The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO2/FIO2 ratio, and SpO2 values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department.
| S-EPMC7543667 | biostudies-literature
Project description:BackgroundAlthough open-chest cardiopulmonary resuscitation (OCCPR) is often considered as the last salvage maneuver in critically injured patients, evidence on the effectiveness of OCCPR has been based only on the descriptive studies of limited numbers of cases or expert opinions. This study aimed to compare the effectiveness of OCCPR with that of closed-chest cardiopulmonary resuscitation (CCCPR) in an emergency department (ED).MethodsA nationwide registry-based, retrospective cohort study was conducted. Patients with blunt trauma, undergoing cardiopulmonary resuscitation (CPR) in an ED between 2004 and 2015 were identified and divided into OCCPR and CCCPR groups. Their outcomes (survival to hospital discharge and survival over 24 hours following ED arrival) were compared with propensity score matching analysis and instrumental variable analysis.ResultsA total of 6510 patients (OCCPR, 2192; CCCPR, 4318) were analyzed. The in-hospital and 24-hour survival rates in OCCPR patients were 1.8% (40/2192) and 5.6% (123/2192), and those in CCCPR patients were 3.6% (156/4318) and 9.6% (416/4318), respectively. In the propensity score-matched subjects, OCCPR patients (n?=?1804) had significantly lower odds of survival to hospital discharge (odds ratio (95% CI))?=?0.41 (0.25-0.68)) and of survival over 24 hours following ED arrival (OR (95% CI)?=?0.59 (0.45-0.79)) than CCCPR patients (n?=?1804). Subgroup analysis revealed that OCCPR was associated with a poorer outcome compared to CCCPR in patients with severe pelvis and lower extremity injury.ConclusionsIn this large cohort, OCCPR was associated with reduced in-hospital and 24-hour survival rates in patients with blunt trauma. Further comparisons between OCCPR and CCCPR using additional information, such as time course details in pre-hospital and ED settings, anatomical details regarding region of injury, and neurological outcomes, are necessary.
| S-EPMC5496413 | biostudies-literature
Project description:It has been almost two years since COVID-19, a disease caused by a new coronavirus called SARS-CoV-2, was declared a pandemic by the World Health Organization. The entire scientific and medical community was put to the test during the following months to find the best therapeutic strategy to save lives. Although some antivirals and anti-inflammatory drugs are being tested in different clinical trials with some controversial results, this short review will focus on corticosteroids usefulness and ventilatory support principles, as they have become two essential therapeutic pillars for those patients who need hospital admission due to respiratory failure.
| S-EPMC8683019 | biostudies-literature
Project description:This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI software from March to December 2021 were included retrospectively. The PPV was evaluated according to the true-positive (TP) and false-positive (FP) diagnosis determined by radiologists. To know the factors that might influence the results, logistic regression with generalized estimating equation was used. Among a total of 87,658 CXRs, 308 CXRs with 331 pneumothoraces from 283 patients were finally included. The overall PPV of AI about pneumothorax was 41.1% (TF:FP = 136:195). The PA view (odds ratio [OR], 29.837; 95% confidence interval [CI], 15.062-59.107), high abnormality score (OR, 1.081; 95% CI, 1.066-1.097), large amount of pneumothorax (OR, 1.005; 95% CI, 1.003-1.007), presence of ipsilateral atelectasis (OR, 3.508; 95% CI, 1.509-8.156) and a small amount of ipsilateral pleural effusion (OR, 5.277; 95% CI, 2.55-10.919) had significant effects on the increasing PPV. Therefore, PPV for pneumothorax diagnosis using AI can vary based on patients' factors, image-acquisition protocols, and the presence of concurrent lesions on CXR.
| S-EPMC11343866 | biostudies-literature
Project description:The novel coronavirus called "Severe Acute Respiratory Syndrome Coronavirus 2" (SARS-CoV-2) caused an outbreak in December 2019, starting from the Chinese city of Wuhan, in the Hubei province, and rapidly spreading to the rest of the world. Consequently, the World Health Organization (WHO) declared that the coronavirus disease of 2019 (COVID-19) can be characterized as a pandemic. During COVID-19 several immunological alterations have been observed: in plasma of severe patients, inflammatory cytokines are at a much higher concentration ("cytokine storm"). These aspects are associated with pulmonary inflammation and parenchymal infiltrates with an extensive lung tissue damage in COVID-19 patients. To date, clinical evidence and guidelines based on reliable data and randomized clinical trials (RCTs) for the treatment of COVID-19 are lacking. In the absence of definitive management protocols, many treatments are currently being evaluated worldwide. Some of these options were soon abandoned due to ineffectiveness, while others showed promising results. As for ventilatory strategies, at the moment there are still no consistent data published about the different approaches and how they may influence disease progression. What will probably represent the real solution to this pandemic is the identification of a safe and effective vaccine, for which enormous efforts and investments are being put in place. This review will summarize the state-of-the-art of COVID-19 current treatment options and those potentially available in the future, as well as high flow oxygen therapy and non-invasive mechanical ventilation approaches.
| S-EPMC7662457 | biostudies-literature
Project description:UnlabelledIntroductionBlunt cardiac rupture is an exceedingly rare injury.Case presentationWe report a case of blunt cardiac trauma in a 43-year-old Caucasian German mother with pectus excavatum who presented after a car accident in which she had been sitting in the front seat holding her two-year-old boy in her arms. The mother was awake and alert during the initial two hours after the accident but then proceeded to hemodynamically collapse. The child did not sustain any severe injuries. Intraoperatively, a combined one-cm laceration of the left atrium and right ventricle was found.ConclusionPatients with pectus excavatum have an increased risk for cardiac rupture after blunt chest trauma because of compression between the sternum and spine. Therefore, patients with pectus excavatum and blunt chest trauma should be admitted to a Level I Trauma Center with a high degree of suspicion.
| S-EPMC3567954 | biostudies-literature
Project description:ObjectivesTo investigate risk factors for non-invasive/invasive ventilatory support (NI/I-VS) in patients with coronavirus disease 2019 (COVID-19).MethodsAll consecutive patients admitted to the Infectious Diseases Unit and Intensive Care Unit (ICU) of Santa Maria Annunziata Hospital (Florence, Italy), from February 25 to April 25, 2020, with a confirmed COVID-19 diagnosis were enrolled in this retrospective cohort study. NI/I-VS was defined as the need for continuous positive airway pressure (CPAP) or bilevel positive airway pressure (BPAP) (non-invasive ventilation) or mechanical ventilation, not including low-flow systems of oxygen therapy such as the Venturi mask or nasal cannula.ResultsNinety-seven patients were enrolled; 61.9% (60/97) were male and the median patient age was 64 years. The in-hospital mortality was 9.3%. Thirty-five of the 97 patients (36%) required ICU admission and 94.8% (92/97) were prescribed oxygen therapy: 10.8% (10/92) by nasal cannula, 44.5% (41/92) by Venturi mask, 31.5% (29/92) by CPAP, 2.2% (2/92) by BPAP, and 10.8% (10/92) by mechanical ventilation following intubation. On univariate analysis, patients with a body mass index >30, type II diabetes mellitus, and those presenting with dyspnoea, asthenia, SOFA score ≥2 points, PaO2/FiO2 <300, temperature >38 °C, increased levels of lactate dehydrogenase (LDH), alanine aminotransferase, and C-reactive protein, and a d-dimer >1000 ng/mL at admission more frequently underwent NI/I-VS. Multivariate logistic regression analysis confirmed temperature >38 °C (odds ratio (OR) 21.2, 95% confidential interval (95% CI) 3.5-124.5, p = 0.001), LDH >250 U/l (OR 15.2, 95% CI 1.8-128.8, p = 0.012), and d-dimer >1000 ng/mL (OR 4.5, 95% CI 1.2-17.3, p = 0.027) as significantly associated with the requirement for NI/I-VS. A non-significant trend (p = 0.051) was described for PaO2/FiO2 <300.ConclusionsTemperature >38 °C, LDH > 250 U/l, and d-dimer >1000 ng/mL were found to be independent risk factors for NI/I-VS in COVID-19 patients. In order to quickly identify patients likely at risk of developing a critical illness, inflammatory markers should be assessed upon hospital admission.
| S-EPMC7484622 | biostudies-literature
Project description:Acute lung injury (ALI) is a severe inflammatory process of the lung. The only proven life-saving support is mechanical ventilation (MV) using low tidal volumes (LVT) plus moderate to high levels of positive end-expiratory pressure (PEEP). However, it is currently unknown how they exert the protective effects. To identify the molecular mechanisms modulated by protective MV, this study reports transcriptomic analyses based on microarray and microRNA sequencing in lung tissues from a clinically relevant animal model of sepsis-induced ALI. Sepsis was induced by cecal ligation and puncture (CLP) in male Sprague-Dawley rats. At 24 hours post-CLP, septic animals were randomized to three ventilatory strategies: spontaneous breathing, LVT (6 ml/kg) plus 10 cmH2O PEEP and high tidal volume (HVT, 20 ml/kg) plus 2 cmH2O PEEP. Healthy, non-septic, non-ventilated animals served as controls. After 4 hours of ventilation, lung samples were obtained for histological examination and gene expression analysis using microarray and microRNA sequencing. Validations were assessed using parallel analyses on existing publicly available genome-wide association study findings and transcriptomic human data. The catalogue of deregulated processes differed among experimental groups. The 'response to microorganisms' was the most prominent biological process in septic, non-ventilated and in HVT animals. Unexpectedly, the 'neuron projection morphogenesis' process was one of the most significantly deregulated in LVT. Further support for the key role of the latter process was obtained by microRNA studies, as four species targeting many of its genes (Mir-27a, Mir-103, Mir-17-5p and Mir-130a) were found deregulated. Additional analyses revealed 'VEGF signaling' as a central underlying response mechanism to all the septic groups (spontaneously breathing or mechanically ventilated). Based on this data, we conclude that a co-deregulation of 'VEGF signaling' along with 'neuron projection morphogenesis', which have been never anticipated in ALI pathogenesis, promotes lung-protective effects of LVT with high levels of PEEP.
| S-EPMC4492998 | biostudies-literature
Project description:BACKGROUND:In head trauma cases involving antiplatelet agent treatment, the French Society of Emergency Medicine recommends performing computed tomography (CT) scans to detect brain lesions, 90% of which are normal. The value of CT is still debatable given the scarce number of studies and controversial results. METHODS:We used the RATED registry (Registry of patient with Antithrombotic agents admitted to an Emergency Department, NCT02706080) to assess factors of cerebral bleeding related to antiplatelet agents following head trauma. RESULTS:From January 2014 to December 2015, 993 patients receiving antiplatelet agents were recruited, 293 (29.5%) of whom underwent CT scans for brain trauma. Intracranial bleeding was found in 26 (8.9%). Multivariate analysis revealed these patients more likely to have a history of severe hemorrhage (odds ratio [OR]: 8.47, 95% confidence interval [CI]: 1.56-45.82), dual antiplatelet therapy (OR: 6.46, 95%CI:1.46-28.44), headache or vomiting (OR: 4.27, 95%CI: 1.44-2.60), and abnormal Glasgow coma scale (OR: 8.60; 95%CI: 2.85-25.99) compared to those without intracranial bleeding. The predictive model derived from these variables achieved 98.9% specificity and a negative predictive value of 92%. The area under the ROC curve (AUROC) was 0.85 (95%CI: 0.77-0.93). CONCLUSIONS:Our study demonstrated that the absence of history of severe hemorrhage, dual antiplatelet therapy, headache or vomiting, and abnormal Glasgow coma scale score appears to predict normal CT scan following traumatic brain injury in patients taking antiplatelets. This finding requires confirmation by prospective studies. TRIAL REGISTRATION:ClinicalTrials.gov number: NCT02706080 .
| S-EPMC6006553 | biostudies-literature
Project description:BackgroundExtracorporeal membrane oxygenation (ECMO) is an important rescue therapy for patients with refractory respiratory or circulatory failure. High cost and associated complications warrant careful case selection. The aim of this study was to investigate the outcomes and factors associated with mortality in acute hypoxemic respiratory failure patients who received ECMO support, and to externally validate preexisting ECMO survival prediction scoring systems.MethodsThis retrospective study enrolled acute hypoxemic respiratory failure patients who received veno-venous (VV) or veno-arterial (VA) ECMO support at Siriraj Hospital (Bangkok, Thailand) from 2010 to 2020. All relevant baseline patient characteristics including ECMO survival prediction scores were recorded. The primary outcome was in-hospital mortality. Multivariate logistic regression analysis was employed to identify independent predictors of in-hospital mortality.ResultsOf a total of 65 patients, 34 (52%) were male, the median (IQR) age was 61 years (49-70 years), the median body mass index (BMI) was 22.6 kg/m2 (20.6-28 kg/m2), and the median Sequential Organ Failure Assessment (SOFA) score was 13 [11-16]. Forty-three patients (66%) received VV-ECMO, and 22 (34%) received VA-ECMO support. In-hospital mortality was 69%. Multivariate analysis identified a SOFA score >14, hospitalized >72 hours before ECMO initiation, PaO2/FiO2 ratio <60, and pH <7.2 as independent predictors of in-hospital mortality. These four parameters were combined to create the SHOP (S: SOFA >14, H: hospitalize >72 hours, O: PF ratio <60, and P: pH <7.2) score. Compared with three different preexisting ECMO survival prediction scoring systems, the SHOP score had the highest area under the curve (AUC) for predicting in-hospital mortality (overall: 0.873, VV-EMCO: 0.866, and VA-EMCO: 0.891).ConclusionsIn-hospital mortality among ECMO-supported patients was high at 69%. SOFA score >14, hospitalized >72 hours, PaO2/FiO2 ratio <60, and pH <7.2 were found to be independent predictors of in-hospital mortality. A SHOP score of 2 or higher significantly predicts in-hospital mortality in EMCO-supported patients.Trial registrationwww.clinicaltrials.gov (reg. No. NCT04031794).
| S-EPMC8902121 | biostudies-literature