Purpose::Upper extremity injuries (UEIs) and lower extremity injuries (LEIs) constitute a considerable component of traumas. However, their epidemiologic differences and short-term in-hospital outcomes are not fully elucidated. This study aims to compare such discrepancies in a large-scale study.Methods::In this retrospective study, all patients with UEIs and/or LEIs hospitalized from 24th July 2016 to 16th May 2020 in Sina Hospital, Tehran, Iran, and registered at the National Trauma Registry of Iran were enrolled in the study. Relevant demographic and clinical characteristics were extracted from the National Trauma Registry of Iran database. Patients were grouped into either UEI or LEI. For those with concomitant UEIs and LEIs, the more severe one based on the abbreviated injury scale was defined as the principal diagnosis. In addition, cases with the abbreviated injury scale > 3 for both UEI and LEI or concomitant injuries to body areas other than the limbs were excluded. Independent samples t-test, Mann-Whitney U test, Chi-square test, quintile regression models, and logistic regression models with "margins" command were used for statistical analyses, as indicated. Results::In this research, 3170 eligible cases were identified. For the LEI group, there was a much higher proportion of male patients (86.7% vs. 82.0%) and higher mean age (years, 42.9 vs. 35.3) compared to the UEI group (both p < 0.001). Patients with an injury severity score (ISS) of 9 -15 were outnumbered in the LEI group (22.9% vs. 1.6%, p < 0.001), while the proportion of those with an ISS < 9 was higher in the UEI group (98.1% vs. 76.8%, p < 0.001). The multiple logistic regression model showed a statistically significant association between intensive care unit (ICU) admission and ISS (odds ratio ( OR)=4.01 for ISS 9 -15 vs. ISS < 9, 95% confidence interval ( CI)): 3.01 -5.35; OR =17.65 for ISS ≥ 16 vs. ISS < 9, 95% CI: 4.03 -77.27), age ( OR =1.02, 95% CI: 1.01 -1.03), cause of injury ( OR =0.27 for blunt trauma vs. road traffic crash, 95% CI: 0.08 -0.90; OR =0.49 for cut/stab injuries vs. road traffic crash, 95% CI: 0.28 -0.84) and body region ( OR=1.65 for lower extremity, 95% CI: 1.19 -2.29). Having adjusted for other covariates, the odds of ICU admission in patients with LEIs was 1.65 times the odds in patients with UEIs. Conclusions::Patients with LEIs were older and suffered from more severe injuries. In addition, the age-and ISS-adjusted ICU admission and length of hospital stay were significantly higher in LEI patients. The chance of ICU admission was associated with age, cause of injury, ISS, and body region. The findings of this study can aid in the meticulous selection of ICU-candidate patients. In addition, the role of factors other than ISS and age in ICU admission and prolongation of hospitalization should be addressed by prospective studies.

Purpose::The purpose of the National Spinal Cord Injury Registry of Iran (NSCIR-IR) is to create an infrastructure to assess the quality of care for spine trauma and in this study, we aim to investigate whether the NSCIR-IR successfully provides necessary post-discharge follow-up data for these patients.Methods::An observational prospective study was conducted from April 11, 2021 to April 22, 2022 in 8 centers enrolled in NSCIR-IR, respectively Arak, Rasht, Urmia, Shahroud, Yazd, Kashan, Tabriz, and Tehran. Patients were classified into 3 groups based on their need for care resources, respectively: (1) non-spinal cord injury (SCI) patients without surgery (group 1), (2) non-SCI patients with surgery (group 2), and (3) SCI patients (group 3). The assessment tool was a self-designed questionnaire to evaluate the care quality in 3 phases: pre-hospital, in-hospital, and post-hospital. The data from the first 2 phases were collected through the registry. The post-hospital data were collected by conducting follow-up assessments. Telephone follow-ups were conducted for groups 1 and 2 (non-SCI patients), while group 3 (SCI patients) had a face-to-face visit. This study took place during the COVID-19 pandemic. Data on age and time interval from injury to follow-up were expressed as mean ± standard deviation (SD) and response rate and follow-up loss as a percentage.Results::Altogether 1538 telephone follow-up records related to 1292 patients were registered in the NSCIR-IR. Of the total calls, 918 (71.05%) were related to successful follow-ups, but 38 cases died and thus were excluded from data analysis. In the end, post-hospital data from 880 patients alive were gathered. The success rate of follow-ups by telephone for groups 1 and 2 was 73.38% and 67.05% respectively, compared to 66.67% by face-to-face visits for group 3, which was very hard during the COVID-19 pandemic. The data completion rate after discharge ranged from 48% - 100%, 22% - 100% and 29% - 100% for groups 1 - 3.Conclusions::To improve patient accessibility, NSCIR-IR should take measures during data gathering to increase the accuracy of registered contact information. Regarding the loss to follow-ups of SCI patients, NSCIR-IR should find strategies for remote assessment or motivate them to participate in follow-ups through, for example, providing transportation facilities or financial support.

PURPOSE: To prepare for future possible communicable disease epidemics/pandemics, health care providers should know how the COVID-19 pandemic influenced injured patients. This study aimed to compare epidemiologic features, outcomes, and diagnostic and therapeutic procedures of trauma patients admitted to a university-affiliated hospital before and during the pandemic. METHODS: This retrospective study was performed on data from the National Trauma Registry of Iran. All injured patients admitted to the hospital from July 25, 2016 to March 10, 2021 were included in the study. The patients were excluded if they had hospital length of stay less than 24 h. The injury outcomes, trauma mechanisms, and therapeutic and diagnostic procedures of the 2 periods: before (from July 25, 2016 to February 18, 2020) and during (from February 19, 2020 to March 10, 2021) COVID-19 pandemic were compared. All analyses were performed using STATA version 14.0 software (Stata Corporation, College Station, TX). RESULTS: Totally, 5014 patients were included in the registry. Of them, 773 (15.4%) were registered after the beginning of the COVID-19 pandemic on February 19, 2020, while 4241 were registered before that. Gender, education level, and cause of injury were significantly different among the patients before and after the beginning of the pandemic (p < 0.001). In the ≤ 15 years and ≥ 65 years age groups, injuries decreased significantly during the COVID-19 pandemic (p < 0.001). The frequency of intensive care unit (ICU) admission decreased from 694 (16.4%) to 88 (11.4%) (p < 0.001). The mean length of stay at the hospital (days) and at the ICU (days) declined as follow: 8.3 (SD = 17.2) vs. 5.5 (SD = 6.1), p < 0.001 and 7.5 (SD = 11.5) vs. 4.5 (SD = 6.3), p < 0.022. The frequency of diagnostic and therapeutic procedures before and during the pandemic was as follows, respectively: ultrasonography 905 (21.3%) vs. 417 (53.9%) (p < 0.001), echocardiography 313 (7.4%) vs. 107 (13.8%) (p < 0.001), angiography 1597 (37.7%) vs. 534 (69.1%) (p < 0.001), MRI 166 (3.9%) vs. 51 (6.6%) (p < 0.001), surgery 3407 (80.3%) vs. 654 (84.6%) (p < 0.001), and internal/external fixation 1215 (28.6%) vs. 336 (43.5%) (p < 0.001). CONCLUSION The pandemic affected the epidemiology of traumatic patients in terms of gender, age, educational level, and trauma mechanism. It changed the outcomes of injured patients: ICU admission, length of stay at the hospital and ICU decreased. The patients received more diagnostic and therapeutic procedures during the pandemic. To be more precise, more research is needed on the details.
Humans ; COVID-19/epidemiology* ; Pandemics ; Retrospective Studies ; Iran/epidemiology* ; Intensive Care Units ; Registries ; Trauma Centers ; COVID-19 Testing

PURPOSE: To identify risk factors for developing pressure ulcers (PUs) in the acute care period of traumatic spinal fracture patients with or without spinal cord injuries (SCIs). METHODS: Data were collected prospectively in participating the National Spinal column/Cord Injury Registry of Iran (NSCIR-IR) from individuals with traumatic spinal fractures with or without SCIs, inclusive of the hospital stay from admission to discharge. Trained nursing staff examined the patients for the presence of PUs every 8 h during their hospital stay. The presence and grade of PUs were assessed according to the European Pressure Ulcer Advisory Panel classification. In addition to PU, following data were also extracted from the NSCIR-IR datasets during the period of 2015 - 2021: age, sex, Glasgow coma scale score at admission, having SCIs, marital status, surgery for a spinal fracture, American Spinal Injury Association impairment scale (AIS), urinary incontinence, level of education, admitted center, length of stay in the intensive care unit (ICU), hypertension, respiratory diseases, consumption of cigarettes, diabetes mellitus and length of stay in the hospital. Logistic regression models were used to estimate the unadjusted and adjusted odds ratio (OR) with 95% confidence intervals (CI). RESULTS: Altogether 2785 participants with traumatic spinal fractures were included. Among them, 87 (3.1%) developed PU during their hospital stay and 392 (14.1%) had SCIs. In the SCI population, 63 (16.1%) developed PU during hospital stay. Univariate logistic regression for the whole sample showed that marital status, having SCIs, urinary incontinence, level of education, treating center, number of days in the ICU, age, and Glasgow coma scale score were significant predictors for PUs. However, further analysis by multiple logistic regression only revealed the significant risk factors to be the treating center, marital status, having SCIs, and the number of days in the ICU. For the subgroup of individuals with SCIs, marital status, AIS, urinary incontinence, level of education, the treating center, the number of days in the ICU and the number of days in the hospital were significant predictors for PUs by univariate analysis. After adjustment in the multivariate model, the treating center, marital status (singles vs. marrieds, OR = 3.06, 95% CI: 1.55 - 6.03, p = 0.001), and number of days in the ICU (OR = 1.06, 95% CI: 1.04 - 1.09, p < 0.001) maintained significance. CONCLUSIONS These data confirm that individuals with traumatic spinal fractures and SCIs, especially single young patients who suffer from urinary incontinence, grades A-D by AIS, prolonged ICU stay, and more extended hospitalization are at increased risk for PUs; as a result strategies to minimize PU development need further refinement.
Humans ; Spinal Fractures/etiology* ; Pressure Ulcer/complications* ; Iran/epidemiology* ; Spinal Cord Injuries/epidemiology* ; Risk Factors ; Spine ; Registries ; Urinary Incontinence/complications* ; Suppuration/complications*

PURPOSE: Injuries are one of the leading causes of death and lead to a high social and financial burden. Injury patterns can vary significantly among different age groups and body regions. This study aimed to evaluate the relationship between mechanism of injury, patient comorbidities and severity of injuries. METHODS: The study included trauma patients from July 2016 to June 2018, who were admitted to Sina Hospital, Tehran, Iran. The inclusion criteria were all injured patients who had at least one of the following: hospital length of stay more than 24 h, death in hospital, and transfer from the intensive care unit of another hospital. Data collection was performed using the National Trauma Registry of Iran minimum dataset. RESULTS: The most common injury mechanism was road traffic injuries (49.0%), followed by falls (25.5%). The mean age of those who fell was significantly higher in comparison with other mechanisms (p < 0.001). Severe extremity injuries occurred more often in the fall group than in the vehicle collision group (69.0% vs. 43.5%, p < 0.001). Moreover, cases of severe multiple trauma were higher amongst vehicle collisions than injuries caused by falls (27.8% vs. 12.9%, p = 0.003). CONCLUSION Comparing falls with motor vehicle collisions, patients who fell were older and sustained more extremity injuries. Patients injured by motor vehicle collision were more likely to have sustained multiple trauma than those presenting with falls. Recognition of the relationship between mechanisms and consequences of injuries may lead to more effective interventions.