Search Results (34)

Background and Objectives: The study aimed to evaluate the predictive significance of Shock Indices and induction agents in predicting the risk of Peri-Intubation Cardiovascular Collapse (PIC) during intubation in the ICU. Materials and Methods: A total of 130 patients were analyzed in the study after dividing them into 2 groups based on the definition of PIC as Patients with PIC and Non-PIC Patients. PIC was defined as the detection of at least SBP < 65 mmHg measured at least once within 30 min after the intubation, SBP < 90 mmHg for 30 min, initiation of norepinephrine treatment, increasing the norepinephrine dose taken before the intubation, increasing SBP to >90 mmHg with >15 mL/kg crystalloid fluid infusion, or development of cardiac arrest. The relationship between Shock Index (SI), Diastolic Shock Index (DSI), Modified Shock Index (MSI), Age Shock Index (Age-SI), and induction agents (ketamine, propofol) and PIC was evaluated. Results: The PIC was detected in 62 patients (47.7%). Age-SI showed the highest predictive performance (AUC = 0.686, p < 0.001). Ketamine provided a protective effect (OR = 0.161, p = 0.003). Propofol (OR = 2.962, p = 0.048), age (OR = 1.065, p = 0.002), lactate (OR = 1.265, p = 0.047), and DSI (OR = 2.300, p = 0.037) were identified as independent risk factors. ICU mortality was significantly higher in the PIC group (74.2% vs. 20.6%, p < 0.001). Conclusions: Age, lactate, DSI, and Age-SI are valuable predictive parameters for PIC. Ketamine reduces the risk of PIC, while propofol increases it. These results support evidence-based risk assessment and induction agent selection in ICU intubation protocols. Full article

Background and Objective: Acute kidney injury (AKI) is a serious condition requiring prompt fluid resuscitation, yet both under- and over-treatment carry risks. Accurate volume assessment is essential, especially in emergency settings. The Inferior Vena Cava Collapsibility Index (IVCCI) is commonly used but has limitations. The Pleth Variability Index (PVI) offers a non-invasive alternative, though its role in AKI remains unclear. To compare the efficacy of the Pleth Variability Index (PVI) and Inferior Vena Cava Collapsibility Index (IVCCI) in assessing fluid responsiveness and predicting in-hospital mortality in patients with acute kidney injury. Materials and Methods: This prospective observational study enrolled 50 adult AKI patients presenting to a tertiary emergency department. All patients received sequential fluid resuscitation with 1000 mL and 2000 mL of isotonic saline. PVI, IVCCI, mean arterial pressure (MAP), peripheral oxygen saturation (SpO₂, perfusion index (PI), and shock index (SI) were recorded at baseline and after each fluid bolus. Changes in these parameters were analyzed to assess their utility in fluid responsiveness. Additionally, the prognostic value of baseline PVI for in-hospital mortality was investigated. Results: PVI demonstrated a significant and dose-responsive decrease following fluid administration, outperforming IVCCI, MAP, PI, SpO₂, and SI in sensitivity (p < 0.001). Baseline PVI values were significantly associated with mortality (AUC: 0.821, p < 0.001), whereas post-resuscitation PVI values showed no prognostic significance. IVCCI and PI showed comparable reliability but were less sensitive to incremental volume changes. Conclusions: PVI is a sensitive, non-invasive marker of fluid responsiveness in non-intubated AKI patients and may also serve as an early prognostic indicator. Its use in emergency departments could support fluid management decisions, but further large-scale, multicenter studies are needed to validate these findings. Full article

Background: Shock index (SI) is calculated by dividing heart rate (HR) by systolic blood pressure (sBP) and is a useful tool for predicting the prognosis of trauma patients. This study aimed to determine whether SI is useful in predicting mortality in patients undergoing emergency surgery for trauma. Methods: We analyzed 1657 patients who underwent emergency surgery for trauma. Patients were divided into SI < 1 and SI ≥ 1 groups and the Glasgow Coma Scale (GCS), Injury Severity Score (ISS), revised trauma score (RTS), Korean Triage and Acuity Scale (KTAS), transfusion amount, and mortality were compared. Binary logistic regression analysis was performed to identify factors associated with mortality. Results: There were significant differences in GCS, ISS, RTS, and KTAS in the SI ≥ 1 group compared to the SI < 1 group (all p-values < 0.001). In the SI < 1 cohort, the mortality rate was 11% (144/1283), and in the SI ≥ 1 group the mortality rate was 33% (125/374) (p < 0.001). Age, GCS, ISS, SI ≥ 1, and KTAS were determined to be predictors of mortality by logistic regression analysis. In particular, SI ≥ 1 group members exhibited a high association with elevated mortality (OR, 2.498; 95% CI, 1.708–3.652; p < 0.01). Conclusions: Although SI alone has limitations in predicting the patient’s prognosis, patients with SI ≥ 1 upon arrival at the emergency room are associated with mortality of patients undergoing emergency surgery for trauma, along with already known trauma assessment systems such as GCS, ISS, and KTAS. Full article

Norepinephrine (NE) and dopamine (DA) are vasopressors used to treat vasodilatory shock for decades, and norepinephrine is considered the preferred first-line vasopressor in human patients. However, there is a dearth of evidence to support specific treatment recommendations for the management of hypotensive, non-anesthetized, fluid-replete dogs. The objective of this study was to compare the effects of NE and DA on systolic blood pressure (SBP), heart rate, and shock index (SI) when used as first-line vasopressors for the treatment of vasodilatory shock in dogs. Twenty-four client-owned canine patients of similar age, sex, and weight with hypotension necessitating vasopressor therapy were randomized to receive NE or DA; attending clinicians were blinded. Twenty-two dogs were included in the final analysis (10 in the NE group and 12 in the DA group). Seventy-seven percent of all dogs achieved normotension. In both groups, SBP increased significantly compared to baseline (p = 0.0004 in the NE group and p = 0.006 in the DA group). The SI also decreased in both groups compared to baseline values (p = 0.01 in the NE group and p = 0.01 in the DA group). The heart rate in the NE group was higher than in the DA group at timepoints 6–10 (p = 0.023). Both NE and DA cause an increase in blood pressure and a decrease in SI in dogs with vasodilatory hypotension. Further investigation is warranted to determine if there are differences between NE and DA or the requirement for a second vasopressor, occurrence of arrhythmias, length of stay, and survival. Full article

Background: In trauma, the shock index (SI) is commonly used to assess the presence of significant blood loss. Prior studies have shown that the SI has a fair predictive ability for clinical outcomes such as massive transfusion (MT) or mortality in adult trauma patients. We hypothesized that the relatively lower predictive power of the SI in older adult patients compared to that of younger adult patients results in the overall fair predictive ability of the SI for clinical outcomes in adult trauma patients. Methods: This retrospective observational study analyzed adult trauma patients who presented to a single regional trauma center between 2019 and 2023, categorizing them into younger (18–64 years) and older (≥65 years) cohorts. The association between SI and MT was evaluated using simple logistic regression, while the modifying effect of age on this association was evaluated through an interaction model. The predictive performance was compared between the groups using the area under the receiver operating characteristic curve (AUC). Age-stratified AUC trends were visualized using cubic spline analysis. Results: A total of 2404 trauma patients met the inclusion criteria, including 1531 younger adults and 873 older adults. The SI was identified as an independent predictor of MT, with a stronger association in younger adults. The AUC for predicting MT was significantly higher in younger adults compared to older adults (0.801 vs. 0.666; p < 0.001), with optimal SI cut-off values of 1.18 and 0.88, respectively. Age-stratified analysis showed the highest AUC in the 41–50 age group (AUC 0.880; 95% CI, 0.836–0.916) and the lowest in the 71–80 age group (AUC 0.624; 95% CI, 0.573–0.674). Conclusions: The predictive performance of the SI for MT was influenced by age, demonstrating a lower predictive ability in older adult patients compared to younger adults. Full article

Background: The identification of the optimal management for blunt splenic trauma—angioembolization (AE), splenectomy, or observation—remains a challenge. This study applies Optimal Policy Trees (OPT), an artificial intelligence (AI) model, to prescribe appropriate management and improve in-hospital mortality. Methods: OPTs were trained on patients with blunt splenic injuries in the ACS-TQIP 2013–2019 to prescribe one of the three interventions: splenectomy, angioembolization (AE), or observation. Prescriptive trees were derived in two separate patient cohorts: those who presented with a systolic blood pressure (SBP) < 70 mmHg and those with an SBP ≥ 70 mmHg. Splenic injury severity was graded using the American Association of Surgical Trauma (AAST) grading scale. Counterfactual estimation was used to predict the effects of interventions on overall in-hospital mortality. Results: Among 54,345 patients, 3.1% underwent splenic AE, 13.1% splenectomy, and 83.8% were managed with observation. In patients with SBP < 70 mmHg, AE was recommended for shock index (SI) < 1.5 or without transfusion, while splenectomy was indicated for SI ≥ 1.5 with transfusion. For patients with SBP ≥ 70 mmHg, AE was recommended for AAST grades 4–5, or grades 1–3 with SI ≥ 1.2; observation was recommended for grades 1–3 with SI < 1.2. Predicted mortality using OPT-prescribed treatments was 18.4% for SBP < 70 mmHg and 4.97% for SBP ≥ 70 mmHg, compared to observed rates of 36.46% and 7.60%, respectively. Conclusions: Interpretable AI models may serve as a decision aid to improve mortality in patients presenting with a blunt splenic injury. Our data-driven prescriptive OPT models may aid in prescribing the appropriate management in this patient cohort based on their characteristics. Full article

In recent years, industrial explosion accidents are frequent, causing serious negative influences on society. Mechanical shock waves, as a typical destructive factor in explosion accidents, can cause serious personal injury and building damage. In addition, actual explosion accidents usually involve heat sources, harming protective materials and personnel. In this study, we designed SiO₂-aerogel-modified polyurea and studied the effects of manufacturing pressure process and the concentration of SiO₂ aerogel on the mechanical shock wave mitigation and thermodynamic properties of the modified polyurea. The results show that the addition of SiO₂ aerogel can improve the mechanical shock wave mitigation performance of polyurea. The maximum peak overpressure and acceleration mitigation rate of the material has reached 17.84% and 62.21%, respectively. The addition of SiO₂ aerogel helps to reduce the thermal conductivity of materials and improve the thermal insulation performance, and the atmospheric pressure process is more conducive to improving the thermal insulation performance of materials. The minimum thermal conductivity of the material has reached 0.14174 W/m·K, which is 45.65% lower than that of pure polyurea. The addition of SiO₂ aerogel has different effects on the limiting oxygen index (LOI) of polyurea. Using a vacuum process, the LOI value increased with the increase in the SiO₂ aerogel concentration, while using atmospheric pressure, the LOI value increased but is always lower than 21% and lower than pure polyurea. Thermogravimetric analysis showed that the addition of SiO₂ aerogel under the vacuum process was helpful to improve the thermal stability of materials. However, atmospheric pressure would disrupt the thermal stability, manifested in a decrease in peak degradation temperature, an increase in peak degradation rate, and a decrease in residual mass. Full article

Background and Objectives: Acute heart failure (AHF) is a life-threatening condition frequently encountered in the emergency department (ED). Identifying reliable prognostic indicators for in-hospital mortality is crucial for risk stratification and the appropriate management of AHF patients. This study aimed to assess the most effective method for predicting in-hospital mortality among various physiological parameters in patients with AHF presenting to the ED. Additionally, the study evaluated the effectiveness of the RAM index—respiratory rate (RR), age, and mean arterial pressure (MAP)—derived from the shock index (SI) by replacing heart rate with RR, as a novel prognostic tool. This was compared with the SI and its other derivatives to predict in-hospital mortality in adult patients with AHF presenting to the ED. Materials and Methods: This is a retrospective study conducted in the ED of an urban medical center, enrolling adult patients with signs and symptoms of AHF, who met the epidemiological diagnosis criteria, between January 2017 and December 2021. Baseline physiological parameters, including the RR, heart rate, systolic blood pressure, and diastolic blood pressure, were recorded upon ED admission. The RAM index was calculated as the RR multiplied by the age divided by the MAP. Statistical analysis was performed, including univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis. Results: A total of 2333 patients were included in the study. A RAM index > 18.6 (area under ROC curve (AUROC): 0.81; 95% confidence interval (CI): 0.79–0.83) had a superior mortality discrimination ability compared to an SI > 0.77 (AUROC: 0.75; 95% CI: 0.72–0.77), modified shock index > 1.11 (AUROC: 0.75; 95% CI: 0.73–0.77), age shock index > 62.7 (AUROC: 0.74; 95% CI: 0.72–0.76), and age-modified shock index > 79.9 (AUROC: 0.75; 95% CI: 0.73–0.77). A RAM index > 18.6 demonstrated a 7.36-fold higher risk of in-hospital mortality with a sensitivity of 0.80, specificity of 0.68, and negative predictive value of 0.97. Conclusions: The RAM index is an effective tool to predict mortality in AHF patients presenting to the ED. Its superior performance compared to traditional SI-based parameters suggests that the RAM index can aid in risk stratification and the early identification of high-risk patients, facilitating timely and aggressive treatment strategies. Full article

Background: The respiratory adjusted shock index (RASI) is a risk score whose usefulness in patients with sepsis and trauma has previously been reported. However, its relevance in elderly emergency patients with medical diseases is yet to be clarified. This study assessed the usefulness of the RASI, which can be evaluated without requiring special equipment, to provide objective and rapid emergency responses. Methods: In this retrospective study, we recruited patients with medical diseases, aged 65 years or older, who were transported to the emergency room from Tokushima Prefectural Kaifu Hospital and underwent arterial blood gas testing from 1 January 2022 to 31 December 2023. We investigated the association of the RASI with other indices, including the lactate level, National Early Warning Score 2 (NEWS2), Shock Index (SI), Sequential Organ Failure Assessment (SOFA) score, quick SOFA (qSOFA) score, and systemic inflammatory response syndrome (SIRS). Results: In this study, we included 260 patients (mean age, 86 years), of whom 234 were admitted to the hospital; 27 and 49 patients died within 7 and 30 days of admission, respectively. The RASI was positively correlated with the lactate level, NEWS2, SI, and increase in the SOFA score (p < 0.001). The RASI was higher in patients with a SIRS or qSOFA score ≥ 2 than in those without (p < 0.001). It predicted death within 7 and 30 days of admission with an area under the curve (AUC) of 0.80 (95% confidence interval [CI]: 0.73–0.87), sensitivity of 96.3%, and specificity of 53.6% when the cutoff value was set to 1.58 and with an AUC of 0.73 (95% CI: 0.66–0.81), sensitivity of 69.4%, and specificity of 70.6% when the cutoff value was set to 1.83, respectively. Conclusions: The RASI is a simple indicator that can be used for predicting in-hospital outcomes in elderly emergency patients with medical diseases. Larger prospective studies based on this study are needed. Full article

Background and Objectives: In patients with urolithiasis-related obstructive pyelonephritis (UROP), sepsis represents a critical and concerning complication that can substantially increase the mortality rate. This study aimed to identify the risk factors for sepsis in UROP patients and to develop a predictive nomogram model. Materials and Methods: We analyzed data from 148 patients who met the UROP criteria and were admitted to Chang Gung Memorial Hospital between 1 January 2016 and 31 December 2021. The primary outcome evaluated was the incidence of sepsis, as defined by the most recent Sepsis-3 guidelines. To identify potential risk factors for sepsis, we employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression technique. Subsequently, we utilized multivariable logistic regression to construct the predictive model. Results: There was a total of 102 non-sepsis cases and 46 sepsis cases. Risk factors for sepsis in multivariable analysis were a history of diabetes mellitus (DM) (OR = 4.24, p = 0.007), shock index (SI) (×10⁻¹) (OR = 1.55, p < 0.001), C-reactive protein (CRP) (mg/dL) (OR = 1.08, p = 0.005), and neutrophil to lymphocyte ratio (NLR) (×10) (OR = 1.58, p = 0.007). The nomogram exhibited an area under the receiver operating characteristic curve of 0.890 (95% CI 0.830–0.949). Conclusions: Our study demonstrated that patients with UROP who have DM, higher SI, higher NLR, and elevated CRP levels are significantly more likely to develop sepsis. These insights may aid in risk stratification, and it is imperative that clinicians promptly initiate treatment for those identified as high risk. Full article

Background: Emergency medicine in Romania has developed fast since inception. The need for faster diagnostic capabilities due to the high workload pre- and in-hospital made point-of-care ultrasound (POCUS) a logical next step. The advantages of POCUS are well known, but implementation presents challenges. Our goal was to study how a straightforward method of implementation would work locally. Methods: Two prospective observational studies were conducted at 6 months (prehospital) and 4 months (in-hospital). The protocol used was extended focused assessment sonography in trauma (eFAST), and the shock index (SI) was used to stratify patients. Voluntary sampling was conducted by emergency physicians. The primary outcomes were patient numbers, type of case use, results, and accuracy. Results: The prehospital study registered 34 patients: 41% traumas, 35% cardiac arrest, 18% shock, and 6% acute respiratory distress. The in-hospital study patients were 78: 36% traumas, 6% cardiac arrests, 41% shock, and 17% acute respiratory distress. A total of 88.5% of the cases were confirmed with definitive imagistic findings. Conclusion: The studies mark an increase in POCUS usage and use in complicated cases. Providing supervision and feedback into clinical practice resulted in a further increase in POCUS usage, the second study having an 88.5% accuracy when compared to the final diagnostic proving the increased efficiency of a longitudinal training approach. Full article

Background and Objectives: The Taiwan Triage and Acuity Scale (TTAS) is reliable for triaging patients in emergency departments in Taiwan; however, most triage decisions are still based on chief complaints. The reverse-shock index (SI) multiplied by the simplified motor score (rSI-sMS) is a more comprehensive approach to triage that combines the SI and a modified consciousness assessment. We investigated the combination of the TTAS and rSI-sMS for triage compared with either parameter alone as well as the SI and modified SI. Materials and Methods: We analyzed 13,144 patients with trauma from the Taipei Tzu Chi Trauma Database. We investigated the prioritization performance of the TTAS, rSI-sMS, and their combination. A subgroup analysis was performed to evaluate the trends in all clinical outcomes for different rSI-sMS values. The sensitivity and specificity of rSI-sMS were investigated at a cutoff value of 4 (based on previous study and the highest score of the Youden Index) in predicting injury severity clinical outcomes under the TTAS system were also investigated. Results: Compared with patients in triage level III, those in triage levels I and II had higher odds ratios for major injury (as indicated by revised trauma score < 7 and injury severity score [ISS] ≥ 16), intensive care unit (ICU) admission, prolonged ICU stay (≥14 days), prolonged hospital stay (≥30 days), and mortality. In all three triage levels, the rSI-sMS < 4 group had severe injury and worse outcomes than the rSI-sMS ≥ 4 group. The TTAS and rSI-sMS had higher area under the receiver operating characteristic curves (AUROCs) for mortality, ICU admission, prolonged ICU stay, and prolonged hospital stay than the SI and modified SI. The combination of the TTAS and rSI-sMS had the highest AUROC for all clinical outcomes. The prediction performance of rSI-sMS < 4 for major injury (ISS ≥ 16) exhibited 81.49% specificity in triage levels I and II and 87.6% specificity in triage level III. The specificity for mortality was 79.2% in triage levels I and II and 87.4% in triage level III. Conclusions: The combination of rSI-sMS and the TTAS yielded superior prioritization performance to TTAS alone. The integration of rSI-sMS and TTAS effectively enhances the efficiency and accuracy of identifying trauma patients at a high risk of mortality. Full article

Diseases in young calves received as emergencies are often associated with hypovolemic and/or septic shocks. The objectives of our study were to (1) assess the correlation between clinical hemodynamic parameters and blood L-lactates (LAC), systolic blood pressure (SBP), and the shock index (SI) recorded upon arrival; and (2) to evaluate how these parameters were related to short-term outcomes in calves under 4 months of age presented as emergencies. We conducted a single-observer prospective observational study on calves aged from 1 day to 4 months, presented to the Veterinary Clinic for Ruminants of Liège from December 2020 to May 2022. Forty-five calves were included in the study. The statistical analysis revealed a significant correlation between LAC and heart rate (r = 0.570; p < 0.05) and LAC and SI (r = 0.373; p < 0.05). A high LAC value at admission was significantly associated with a negative outcome (death) (p < 0.05). In calves suffering from obstructive digestive diseases, the SI was related to the outcome and the analysis indicated a cut-off value of 1.13 (Se = 0.77, Spe = 1). In conclusion, in our study, the initial blood L-lactate value was correlated with heart rate, the shock index, and the clinical shock score, and admission hyperlactatemia was associated with a poor prognosis in calves under 4 months of age. In this cohort, the shock index in calves suffering from digestive diseases was linked with mortality. Full article

Introduction: Large hemispheric infarction (LHI) can lead to fatal complications such as malignant brain edema (MBE). We aimed to investigate the correlation between heart-rate-to-blood-pressure ratios and MBE or one-month death after LHI. Methods: We prospectively included LHI patients from a registered cohort. Hourly heart-rate-to-blood-pressure ratios were recorded as a variation of the traditional shock index (SI), SI_s and SI_d (systolic and diastolic pressures, respectively), and calculated for mean and variability (standard deviation) in 24 h and two 12 h epochs (1–12 h and 13–24 h) after onset of symptoms. MBE was defined as neurological deterioration symptoms with imaging evidence of brain swelling. We employed a generalized estimating equation to compare the trend in longitudinal collected SI_s and SI_d between patients with and without MBE. We used multivariate logistic regression to investigate the correlation between SI_s, SI_d and outcomes. Results: Of the included 162 LHI patients, 28.4% (46/162) developed MBE and 25.3% (40/158) died within one month. SI_s and SI_d increased over baseline in all patients, with a similar ascending profile during the first 12 h epoch and a more intensive increase in the MBE group during the second 12 h epoch (p < 0.05). During the overall 24 h, patients with greater SI_d variability had a significantly increased MBE risk after adjustment (OR 3.72, 95%CI 1.38–10.04). Additionally, during the second 12 h epoch (13–24 h after symptom onset), patients developing MBE had a significantly higher SI_d level (OR 1.18, 95%CI 1.00–1.39) and greater SI_d variability (OR 3.16, 95%CI 1.35–7.40). Higher SI_d and greater SI_d variability within 24 h independently correlated with one-month death (all p < 0.05). Within the second 12 h epoch, higher SI_s, higher SI_d and greater SI_d variability independently correlated with one-month death (all p < 0.05). No significant correlation was observed in the first 12 h epoch. Conclusions: Higher and more fluctuated heart-rate-to-blood-pressure ratios independently correlated with MBE development and one-month death in LHI patients, especially during the second 12 h (13–24 h) epoch after onset. Full article

The aim of this study was to analyze the mortality of polytrauma patients and identify prediction parameters. A further aim was to create from the results a score for the prehospital predictive evaluation of 30-day survival. The study was conducted with a retrospective, observational design and was carried out unicentrically at a Level 1 Trauma Center. During the 4-year investigation period, patients with an Injury Severity Score (ISS) ≥ 16 were examined and their demographic basic data, laboratory values, and vital parameters were recorded. The mortality data analysis was performed using Kaplan–Meier Analysis and Log-Rank tests. Cox regressions were carried out to determine influencing factors and Receiver Operating Characteristic (ROC) curves were plotted to establish limit values for potential influencing factors. All statistical tests were conducted at a significance level of p ≤ 0.05. Coronary Heart Disease (CHD), cardiopulmonary resuscitation (CPR), age at admission, sex, and Glasgow Coma Scale (GCS) had a significant impact on the survival of polytrauma patients. The identified prediction parameters were combined with the shock index (SI). The generated score showed a sensitivity of 93.1% and a specificity of 73.3% in predicting the mortality risk. The study was able to identify significant influencing prehospital risk factors on 30-day survival after polytrauma. A score created from these parameters showed higher specificity and sensitivity than other prediction scores. Further studies with a larger number of participants and the inclusion of slightly injured patients could verify these findings. Full article