Which Demographic and Clinical Characteristics Can Better Predict the Length of Hospital Stay among Traumatic Patients? A Retrospective Single-Center, Registry-Based Study.

Background: Lengthy hospitalization may lead to an increased hospital-acquired patient complication, including infections, as well as increased costs for both healthcare systems and patients. A few studies evaluated the impact of various clinical and demographic variables on patients' length of stay (LOS). Hence, in this study, we aimed to investigate the impact of various variables on traumatic patients' LOS. Methods: This is a retrospective single-center, registry-based study of traumatic patients admitted to Taleqani, a major trauma center in Kermanshah, Iran. A Minimal Dataset (MDS) was developed to retrieve traumatic data on demographic and clinical aspects. We used univariable and multiple quantile regression models to evaluate the association between independent variables, including ISS, GCS, and SBP, with LOS. LOS is practically defined as the time interval between hospital admission and discharge. The LOS durations have been presented as median (Q1 to Q3) hours. A p-value of <0.05 was considered statistically significant. Results: A total of 2708 cases were included in this study, with 1989 (73.4%) of them being male. The median LOS was 87.00 (48.00 to 144.00) hours. When adjusted for systolic blood pressure (SBP), Glasgow Coma Scale (GCS), Injury Severity Score (ISS), and cause of injury, the two characteristics of spine/back and multiple trauma were significantly associated with the higher LOS, with 43 (20.5 to 65.48) and 24 (10.39 to 37.60) hours more than extremities (P < 0.001 and P = 0.005). Besides, the patients admitted due to road traffic injuries (RTI) were discharged 16 and 41 hours later than falling and cutting/stabbing (P = 0.008 and < 0.001, respectively). Moreover, the patients with ISS≥16 and 9≤ISS≤15 had a median of 51 (21 to 80) and 34 (22 to 45) LOS hours more, compared to 1≤ISS≤8, respectively (P < 0.001). The trauma cases experiencing SBP ≤ 90 mmhg on admission had a median of 41 (20 to 62) hours more hospitalization period than those with SBP> 90 mmhg (P < 0.001). At last, the patients with GCS of 9 to 12 and GCS of 3 to 8 were hospitalized for 39 and 266 hours more than GCS of 13 to 15 (P < 0.001). Conclusion: Determining independent determinants of prolonged LOS may lead to better identifying at-risk patients on admission. Trauma care providers should consider the following risk factors for increased LOS: higher ISS, Lower GCS, and SBP, multiple trauma or spine injury, and trauma resulting from falling or cutting/stabbing. As a result, the impact of extended LOS might be reduced by intervening in the related influencing factors.

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study.

Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a comprehensive dataset of 6709 pediatric trauma patients aged ≤ 18 years from July 2016 to September 2023. To ascertain the predictive efficacy of the scoring systems, the area under the receiver operating characteristic curve (AUC) was calculated. A total of 720 individuals (10.7%) required admission to the ICU. The mortality rate was 1.1% (n = 72). The most predictive scoring system for in-hospital mortality was the adjusted trauma and injury severity score (aTRISS) (AUC = 0.982), followed by trauma and injury severity score (TRISS) (AUC = 0.980), new trauma and injury severity score (NTRISS) (AUC = 0.972), Glasgow coma scale (GCS) (AUC = 0.9546), revised trauma score (RTS) (AUC = 0.944), pre-hospital index (PHI) (AUC = 0.936), injury severity score (ISS) (AUC = 0.901), new injury severity score (NISS) (AUC = 0.900), and abbreviated injury scale (AIS) (AUC = 0.734). Given the predictive performance of the scoring systems for ICU admission, NTRISS had the highest predictive performance (AUC = 0.837), followed by aTRISS (AUC = 0.836), TRISS (AUC = 0.823), ISS (AUC = 0.807), NISS (AUC = 0.805), GCS (AUC = 0.735), RTS (AUC = 0.698), PHI (AUC = 0.662), and AIS (AUC = 0.651). In the present study, we concluded the superiority of the TRISS and its two derived counterparts, aTRISS and NTRISS, compared to other scoring systems, to efficiently discerning individuals who possess a heightened susceptibility to unfavorable consequences. The significance of these findings underscores the necessity of incorporating these metrics into the realm of clinical practice.

Granulocyte-colony stimulating factor (G-CSF): an emerging therapeutic approach for amyotrophic lateral sclerosis (ALS).

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by neuronal degeneration and inflammation in the nerves. G-CSF is a 19.6-kDa hematopoietic growth factor which is essential for the proliferation and differentiation of granulocyte hematopoietic progenitors. G-CSF exerts neuroprotective activities by induction of neuronal regeneration, inhibition of neuronal apoptosis, mobilization of Hematopoietic stem cells (HSCs), regulation of pro and anti-inflammatory cytokines, and activation of angiogenesis. Pre-clinical studies have shown significant efficacy of G-CSF therapy in mSOD1G93A mice models. G-CSF treatments were able to increase the survival of mice. However, clinical studies on ALS patients failed to clone pre-clinical results. Considering the potential role of G-CSF in nervous system regeneration, this study aimed to comprehensively review the clinical and pre-clinical studies addressing G-CSF in ALS treatment.

Epidemiologic and Clinical Characteristics of Intentional Injuries among Cases Admitted to Sina Hospital: Affiliated with the National Trauma Registry of Iran.

BACKGROUND: Intentional injuries, including self-harm, suicide, conflict, and interpersonal violence are a significant public health concern in Iran, but they have not been adequately documented. This study aimed to investigate intentional injuries in cases admitted to Sina Hospital in Tehran, Iran, affiliated with the National Trauma Registry of Iran. Study Design: A retrospective cohort study. METHODS: A registry-based study on the characteristics of 852 intentional injury cases was conducted from 2016 to 2023. Information on various aspects, including baseline characteristics, injury characteristics, and injury outcomes was compared between groups of self-harm/suicide, conflict/interpersonal violence, and others (abuse and legal prosecution). RESULTS: Of 6,692 registered trauma cases, 852 (12.7%) had intentional injuries. Men accounted for 92 (77.3%) self-harm/suicide and 650 (96.4%) conflict/interpersonal violence cases (P<0.001). Self-harm/ suicide mostly occurred at home in 89 (74.8%) cases, while 73 (10.8%) conflict/interpersonal violence cases happened at home (P<0.001). Falls were the cause of trauma in 12 (10.1%) self-harm/suicide cases compared to 7 (1.0%) conflict/interpersonal violence cases (P<0.001). Furthermore, blunt trauma was the cause of trauma in one (0.8%) case of self-harm/suicide and 66 (9.8%) conflict/interpersonal violence cases (P<0.001). Moreover, 14 (11.8%) self-harm/suicide and 34 (5.0%) conflict/interpersonal violence cases required ventilation (P=0.010). Additionally, 74 (8.7%) intentional injury cases had multiple traumas, which were seen in nine (7.6%) self-harm/suicide and 58 (8.6%) conflict/interpersonal violence cases (P<0.001). CONCLUSION: Men were the majority of self-harm/suicide and conflict/interpersonal violence cases. Self-harm/suicide incidents mostly occurred at home and resulted in more injuries from falls, while conflict/ interpersonal violence resulted in increased blunt traumas and multiple traumas.

Comorbidities in Patients with Lichen Planopilaris: A Case-Control Study.

Introduction: Lichen planopilaris (LPP) is a lymphocyte-mediated type of scarring alopecia and considered to have autoimmune etiology. Studies about systemic comorbid conditions are limited. Our goal is to identify the prevalence of medical comorbidities in patients with LPP. Methods: In a retrospective case-control study, the medical records of 208 LPP patients and 208 controls were reviewed for existing comorbidities such as thyroid diseases, cardiovascular disorders, hypertension, hyperlipidemia, and lupus erythematous. Results: Hyperlipidemia was found in 41.8% of all patients with LPP and in 17.3% of controls (p value <0.001, OR = 4.167). Chances of hypertension and cardiovascular disorders were lower in the LPP group in comparison to controls (p value = 0.009). Thyroid disorders were more prevalent in LPP patients, but the difference was not statistically significant (p value = 0.277). Conclusion: Our study further emphasizes that LPP patients should be screened for medical comorbidities, especially lipid profile abnormalities.