A prospective comparative study of the functional results associated with the use of Björk flap tracheostomy versus standard tracheostomy

BACKGROUND

Placement of a tracheostomy for patients requiring prolonged mechanical ventilation (PMV) improves patients' comfort, decreases dead space ventilation, allows superior airway hygiene, and reduces the incidence of ventilator-associated pneumonia. Controversy still exists regarding the role of standard tracheostomy (ST) as opposed to the less frequently done Björk flap tracheostomy (BFT). This study compares the functional outcomes of these two techniques.

STUDY DESIGN

Seventy-nine patients receiving tracheostomy in a 12-month period: 38 BFT vs. 41 ST. Data included demographics, indications for PMV, ventilator days before tracheostomy, time to and a number of patients who passed the fiberoptic endoscopic evaluation of swallowing (FEES), time to and a number of patients decannulated.

RESULTS

Indications in both groups were PMV from trauma (18/38 vs 15/41), pneumonia (13/38 vs 13/41), and ARDS (7/38 vs 11/4), respectively (p > 0.05). Patients in both groups did not differ with regard to age, sex, GCS, duration of PMV before tracheostomy, the time to and a number of patients who passed the 1st FEES. However, the number of days and the number of FEES required before the next successful FEES in the 20 BFT and 21 ST patients who failed the 1st was 9 (4) vs. 16 (5), and 2 (1) vs. 4 (1), respectively (p < 0.05). Additionally, the number of intraoperative complications in aggregate were 0/38 in the BFT as opposed to 6/41 in the ST group (p < 0.05).

CONCLUSION

We conclude that BFT may be associated with an overall shorter time to restoration of normal swallowing when compared to ST.

Firearm Deaths are Increasing and Endemic in the USA: It is a Problem of Suicides and Not Homicides

BACKGROUND

To analyze and report on the changes in epidemiology traumatic causes of death in the USA.

METHODS

Data were extracted from the annual National Vital Statistics Reports (2008-2017) from Center for Disease Control and analyzed for trends during the time period given. Generalized additive model was applied to evaluate the significance of trend using R software.

RESULTS

Firearm deaths (39,790) and firearm death rate (12.2/100,000) in 2017 were the highest reported, and this increasing trend was significant (p < 0.001) the last ten years. Deaths from motor vehicle crash (MVC) and firearm homicides did not change significantly during the same time period. Firearm deaths were lower than MVC deaths by 21% (8,197/39,790) in 2008, but after 10 years, the difference was only 1% (458/40,231). Years of life lost from firearms is now higher than MVC. Suicides by firearm in 2017 were the highest reported at 23,854/39,773 (60%). In 2017, suicides by firearm victims were predominantly white 20,328/23,562 (85%), men 20,362/23,562 (86%), and the largest group was between the ages of 55-64.

CONCLUSIONS

Death from firearms in the USA is increasing and endemic. They were the highest ever reported in 2017 by the CDC. While deaths from MVC used to be the main cause of traumatic death in the USA, deaths from firearms now almost equal it. Calculated years of life lost from firearms is now more than from MVC. Most firearm deaths are not from homicides but are from suicides, and they are predominantly in white older males of the baby boomer generation (born 1946-1964).

Body Mass Index and Mortality in Blunt Trauma: The Right BMI can be Protective

BACKGROUND

There are limited studies examining the role of BMI on mortality in the trauma population. The aim of this study was to analyze whether the "obesity paradox" exists in non-elderly patients with blunt trauma.

METHODS

A retrospective study was performed on the Trauma Quality Improvement Program (TQIP) database for 2016. All non-elderly patients aged 18-64, with blunt traumatic injuries were identified. A generalized additive model (GAM) was built to assess the association of mortality and BMI adjusted for age, gender, race, and injury severity score (ISS).

RESULTS

28,475 patients (mean age = 42.5, SD = 14.3) were identified. 20,328 (71.4%) were male. Age (p < 0.0001), gender (p < 0.0001), and ISS (p < 0.0001) had significant associations with mortality. After GAM, BMI showed a significant U-shaped association with mortality (EDF = 3.2, p = 0.003). A BMI range of 31.5 ± 0.9 kg/m² was associated with the lowest mortality.

CONCLUSION

High BMI can be a protective factor in mortality within non-elderly patients with blunt trauma. However, underweight or morbid obesity suggest a higher risk of mortality.

Complex abdominal wall hernia repair with biologic mesh in elderly: a propensity matched analysis

Background

Complex abdominal wall reconstruction (CAWR) has become a common surgical procedure both in non-elderly and elderly patients.

Objective

The aim of this study is to analyze the outcomes of the elderly compared to nonelderly undergoing CAWR using propensity score matching.

Methods

All patients who underwent CAWR using porcine-derived, non-crosslinked acellular dermal matrix (ADM) (Strattice™) between January 2014 and July 2017 were studied retrospectively. Propensity matched analysis was performed for risk adjustment in multivariable analysis and for one-to-one matching. The outcomes were analyzed for differences in postoperative complications, reoperations, mortality, hospital length of stay and adverse discharge disposition.

Results

One hundred-thirty-six patients were identified during the study period. Non-elderly (aged 18–64 years) constituted 70% (n = 95) and elderly (aged ≥ 65 years) comprised 30% of the overall patient population (n = 41). Seventy-three (56.7%) were females. After adjustment through the propensity score, which included 35 pairs, the surgical site infection (p = 1.000), wound necrosis (p = 1.000), the need for mechanical ventilation (p = 0.259), mortality (p = 0.083), reoperation rate (p = 0.141), hospital length of stay (p = 0.206), and discharge disposition (p = 0.795) were similar.

Conclusion

Elderly patients undergoing CAWR with biological mesh have comparable outcomes with non-elderly patients when using propensity matching score.

Predicting the need for tracheostomy in trauma patients without severe head injury

BACKGROUND

Early tracheostomy is recommended in patients with severe traumatic brain injury (TBI); however, predicting the timing of tracheostomy in trauma patients without severe TBI can be challenging.

METHODS

A one year retrospective analysis of all trauma patients who were admitted to intensive Care Unit for > 7 days was performed, using the ACS-TQIP database. Univariate and Multivariate regression analyses were performed to assess the appropriate weight of each factor in determining the eventual need for early tracheostomy.

RESULTS

A total of 21,663 trauma patients who met inclusion and exclusion criteria were identified. Overall, tracheostomy was performed in 18.3% of patients. On multivariate regression analysis age >70, flail chest, major operative intervention, ventilator days >5 days and underlying COPD were independently associated with need of tracheostomy. Based on these data, we developed a scoring system to predict risk for requiring tracheostomy.

CONCLUSION

Age >70, presence of flail chest, need for major operative intervention, ventilator days >5 and underlying COPD are independent predictors of need for tracheostomy in trauma patients without severe TBI.

Developing a Simple Clinical Score for Predicting Mortality and Need for ICU in Trauma Patients

Several models exist to predict trauma center need in the prehospital setting; however, there is lack of simple clinical tools to predict the need for ICU admission and mortality in trauma patients. The aim of our study was to develop a simple clinical tool that can be used with ease in the prehospital or emergency setting and can reliably predict the need for ICU admission and mortality in trauma patients. We abstracted one year of National Trauma Data Bank for all patients aged ≥ 18 years. Transferred patients and those dead on arrival were excluded. Patient demographics, injury parameters, vital signs, and Glasgow Coma Scale (GCS) were recorded. Our primary outcome measures were mortality and ICU admission. Logistic regression analysis was performed using three variables (age > 55 years, shock index (SI) > 1, and GCS score) to determine the appropriate weights for predicting mortality. Appropriate weights derived from regression analysis were used to construct a simple SI, age, and GCS (SAG) score, and associated mortality and ICU admissions were calculated for three different risk groups (low, intermediate, and high). A total of 281,522 patients were included. The mean age was 47 ± 20 years, and 65 per cent were male. The overall mortality rate was 2.9 per cent, and the rate of ICU admission was 28.7 per cent. The SAG score was constructed using weights derived from regression analysis for age ≤ 55 years (4 points), SI < 1 (3 points), and GCS (3-15 points). The median [IQR] SAG score was 21 [18-22]. The area under the receiver operating curve [95% Confidence Interval (CI)] of the SAG score for predicting mortality and ICU admission was 0.873 [0.870-0.877] and 0.644 [0.642-0.647], respectively. Each 1-point increase in the SAG score was associated with 18 per cent lower odds of mortality (odds ratio [95% CI]: 0.822 [0.820-0.825]) and 10 per cent lower odds of ICU admission (odds ratio [95% CI]: 0.901 [0.899-0.902]). The SAG score is a simple clinical tool derived from variables that can be assessed with ease during the initial evaluation of trauma patients. It provides a rapid assessment and can reliably predict mortality and need for ICU admission in trauma patients. This simple tool may allow early resource mobilization possibly even before the arrival of the patient.

Developing a Simple Clinical Score for Predicting Mortality and Need for ICU in Trauma Patients

Several models exist to predict trauma center need in the prehospital setting; however, there is lack of simple clinical tools to predict the need for ICU admission and mortality in trauma patients. The aim of our study was to develop a simple clinical tool that can be used with ease in the prehospital or emergency setting and can reliably predict the need for ICU admission and mortality in trauma patients. We abstracted one year of National Trauma Data Bank for all patients aged ≥ 18 years. Transferred patients and those dead on arrival were excluded. Patient demographics, injury parameters, vital signs, and Glasgow Coma Scale (GCS) were recorded. Our primary outcome measures were mortality and ICU admission. Logistic regression analysis was performed using three variables (age > 55 years, shock index (SI) > 1, and GCS score) to determine the appropriate weights for predicting mortality. Appropriate weights derived from regression analysis were used to construct a simple SI, age, and GCS (SAG) score, and associated mortality and ICU admissions were calculated for three different risk groups (low, intermediate, and high). A total of 281,522 patients were included. The mean age was 47 ± 20 years, and 65 per cent were male. The overall mortality rate was 2.9 per cent, and the rate of ICU admission was 28.7 per cent. The SAG score was constructed using weights derived from regression analysis for age ≤ 55 years (4 points), SI< 1 (3 points), and GCS (3-15 points). The median [IQR] SAG score was 21 [18–22]. The area under the receiver operating curve [95% Confidence Interval (CI)] of the SAG score for predicting mortality and ICU admission was 0.873 [0.870–0.877] and 0.644 [0.642–0.647], respectively. Each 1-point increase in the SAG score was associated with 18 per cent lower odds of mortality (odds ratio [95% CI]: 0.822 [0.820–0.825]) and 10 per cent lower odds of ICU admission (odds ratio [95% CI]: 0.901 [0.899–0.902]). The SAG score is a simple clinical tool derived from variables that can be assessed with ease during the initial evaluation of trauma patients. It provides a rapid assessment and can reliably predict mortality and need for ICU admission in trauma patients. This simple tool may allow early resource mobilization possibly even before the arrival of the patient.

Gene expression profiling identifies potential molecular markers of papillary thyroid carcinoma

BACKGROUND

Thyroid cancer is the most common endocrine malignancy worldwide, with the predominant form papillary thyroid carcinoma (PTC) representing approximately 80% of cases.

OBJECTIVE

This study was addressed to identify potential genes and pathways involved in the pathogenesis of PTC and potential novel biomarkers for this disease.

METHODS

Gene expression profiling was carried out by DNA microarray technology. Validation of microarray data by qRT-PCR, western blot, and enzyme linked immunosorbent assay was also performed in a selected set of genes and gene products, with the potential to be used as diagnostic or prognostic biomarkers, such as those associated with cell adhesion, extracellular matrix (ECM) remodeling and immune/inflammatory response.

RESULTS

In this study we found that upregulation of extracellular activities, such as proteoglycans, ECM-receptor interaction, and cell adhesion molecules, were the most prominent feature of PTC. Significantly over-expressed genes included SDC1 (syndecan 1), SDC4 (syndecan 4), KLK7 (kallikrein-related peptidase 7), KLK10 (kallikrein-related peptidase 10), SLPI (secretory leukocyte peptidase inhibitor), GDF15 (growth/differentiation factor-15), ALOX5 (arachidonate 5-lipoxygenase), SFRP2 (secreted Frizzled-related protein 2), among others. Further, elevated KLK10 levels were detected in patients with PTC. Many of these genes belong to KEGG pathway "Proteoglycans in cancer".

CONCLUSIONS

Using DNA microarray analysis allowed the identification of genes and pathways with known important roles in malignant transformation, and also the discovery of novel genes that may be potential biomarkers for PTC.

Mortality rates of severe traumatic brain injury patients: impact of direct versus nondirect transfers

BACKGROUND

Direct transport of patients with severe traumatic brain injury (sTBI) to trauma centers (TCs) that can provide definitive care results in lower mortality rates. This study investigated the impact of direct versus nondirect transfers on the mortality rates of patients with sTBI.

METHODS

Data on patients with TBI admitted between January 1, 2012, and December 31, 2013, to our Level I TC were obtained from the trauma registry. Data included patient age, sex, mechanism, and type of injury, comorbidities, Glasgow Coma Scale, Injury Severity scores, prehospital time, time to request and to transfer, time to initiation of multimodality monitoring and goal-directed therapy protocol, dwell time in the emergency department (EDT), and mortality. Data, reported in means ± standard deviation, were analyzed with the Student t-test and chi-square. Statistical significance was accepted at a P value < 0.05.

RESULTS

sTBI direct transfer to TC versus transfer from non-TCs (NTC): Of the 1187 patients with TBI admitted to our TC, 768 (64.7%) were admitted directly from the scene, whereas 419 (35.3%) were admitted after secondary transfer. One hundred seventy-one (22.2%) of the direct transfers had Glasgow Coma Scale < 8 (sTBI) and 92 (21.9%) of the secondary transfers had sTBI. The transfer time: Time from scene to arrival to the EDT was significantly shorter for TC versus NTCs 43 ± 14 versus 77 ± 26 min, respectively (P < 0.05). EDT dwell time before transfer and time from injury to arrival to TC were 4.2 ± 2.1 and 6.2 ± 8.3 h, respectively. Mortality: There was a statistically significant lower mortality for patients with sTBI transferred directly from the scene to TCs as opposed to patients secondarily transferred, 33/171 (19.3%) versus 33/92 (35.8%), respectively (P < 0.05).

CONCLUSIONS

To decrease TBI-related mortality, patients with suspected sTBI should be taken directly to a Level I or II TC unless they require life-saving stabilization at NTCs.

Splenic venous hypertension presenting as variceal hemorrhage caused by portal hypertension

BACKGROUND

Splenic venous hypertension (SVH) may cause variceal hemorrhage that is clinically indistinguishable from similar bleeding caused by portal hypertension (PH). This may lead to erroneous treatment, including inappropriate portosystemic shunt placement.

STUDY DESIGN

A retrospective review of 58 cases of variceal hemorrhage referred for transmesenteric variceal sclerotherapy and transvenous intrahepatic portosystemic shunt (TIPS) placement revealed that seven patients had SVH as a cause of bleeding, and required treatment other than TIPS. The role of medical imaging in the diagnosis and management of SVH was analyzed.

RESULTS

Clinical data did not permit a differential diagnosis between PH and SVH as the cause of bleeding in all cases. Splenic venous hypertension was suspected and then confirmed exclusively by contrast-enhanced computed tomography (CT) and angiography, which are essential for correct patient management.

CONCLUSIONS

Computed tomography should be routinely performed to exclude SVH before TIPS placement. In instances in which CT fails to establish the diagnosis or splenic artery occlusion is considered for patient management, angiography may be used.

Routine prophylactic antifungal agents (clotrimazole, ketoconazole, and nystatin) in nontransplant/nonburned critically ill surgical and trauma patients

A prospective, randomized study was conducted to determine if prophylactic antifungal agents prevented yeast colonization (YC) or yeast sepsis (YS), or if they diminished mortality in 292 critically ill adult (nontransplant/nonburned) surgical and trauma patients admitted to the SICU for 48 hours or longer. Patients were randomized to receive (group I) no therapy, (group II) clotrimazole 10 mg three times a day, (group III) ketoconazole 200 mg per day, or (group IV) nystatin 2 million units every 6 hours. For comparison patients were stratified by the criteria of Slotman and Burchard into high risk (> or = 3 risk factors) and low risk (< 3 risk factors). Fifty patients (17%) had yeast colonization, nine (3.1%) had yeast sepsis, and 41 (14%) died. Stepwise logistic regression analysis of yeast colonization and sepsis using the variables APACHE II scores > 10, need for ventilator support > 48 hours, and 14 risk factors (Slotman and Burchard) showed that treatment with three or more antibiotics, APACHE II > 10, and ventilatory support > 48 hours were the only three variables that were significant predictors of yeast colonization and sepsis. There was no significant difference between the four groups with regard to YC (23%, 18%, 12%, and 15%, respectively), YS (3%, 1%, 2%, and 7%, respectively), or mortality (15%, 14%, 6%, and 20%, respectively).(ABSTRACT TRUNCATED AT 250 WORDS)