Analysis of a Large 19-Year Database in Vascular Surgery in Southern Iran: Evaluation of Trends and Limitations.

BACKGROUND: Large databases with data elements of clinical interest are essential for carrying out high-quality observational studies. Such databases have become increasingly popular for clinical research in fields like vascular surgery. Our goal is to create a solid and reliable database of the patients who have been admitted and undergone different vascular surgery procedures over 19 years and to provide surgeons with the current trends and limitations in managing patients with vascular disease. METHODS: The database of patients operated in Namazi Hospital, the referral center for vascular surgery in Southern Iran, from 2001 to 2019, was retrieved and patients undergoing vascular procedures were parted. Demographic and perioperative data were evaluated and patients were categorized into subgroups based on the type and cause of operation. All data were analyzed with SPSS version 26.0 (IBM, NY, USA). RESULTS: During the period of our study, a total of 226,051 operations were performed at the Namazi Hospital. Among these operations, 6,386 (2.82%) vascular surgery-related operations were entered into our study. The average age of the patients in our study was 53.22 ± 18.92 years (range: 1 day old-97 years) and 4,061 (63.6%) were male. Furthermore, 147 (2.3%) were operated by multiple surgeons. Moreover, 798 (12.5%) of the patients were admitted postoperatively to the intensive care unit, while the rest (5,588; 87.5%) in the common surgery ward. The cause of operation in 609 (9.5%) of the cases was trauma. Based on wound categorization, 5,132 (80.4%) were type I (clean). The most frequent operation performed in our center was arterial reconstruction and limb revascularization (31.4%), followed by hemodialysis access (31.3%). The most frequent surgery in the age group of less than 18 years was fasciotomy, in the 19-40 years group was tumor (56.8%) and varicose veins (52.9%), and in the 41-60 years group was implantation of ventral venous port catheter (47%). Only carotid and thoracic outlet syndrome surgeries were significantly higher in females. The remaining operations were all significantly higher among male patients. Finally, carotid body tumor surgery was the most frequent operation requiring intensive care unit monitoring. CONCLUSIONS: We demonstrated, for the first time, an overview of vascular surgeries performed in a referral tertiary center in Southwest Iran. There is an increase in the number of surgical procedures in the field of vascular surgery, and large databases will be a valuable tool for addressing critical problems in this field and also the healthcare system.

Effect of low fibrinogen level on in-hospital mortality and 6-month functional outcome of TBI patients, a single center experience.

In patients affected by traumatic brain injury (TBI), hypofibrinogenemia within the initial hours of trauma can be expected due to vascular and inflammatory changes. In this study, we aimed to evaluate the effect of hypofibrinogenemia on the in-hospital mortality and 6-month functional outcomes of TBI patients, admitted to Rajaee Hospital, a referral trauma center in Shiraz, Iran. This study included all TBI patients admitted to our center who had no prior history of coagulopathy or any systemic disease, were alive on arrival, and had not received any blood product before admission. On admission, hospitalization, imaging, and 6-month follow-up information of included patients were extracted from the TBI registry database. The baseline characteristics of patients with fibrinogen levels of less than 150 mg/dL were compared with the cases with higher levels. To assess the effect of low fibrinogen levels on in-hospital mortality, a uni- and multivariate was conducted between those who died in hospital and survivors. Based on the 6-month GOSE score of patients, those with GOSE < 4 (unfavorable outcome) were compared with those with a favorable outcome. A total of 3049 patients (84.3% male, 15.7% female), with a mean age of 39.25 ± 18.87, met the eligibility criteria of this study. 494 patients had fibrinogen levels < 150 mg/dl, who were mostly younger and had lower average GCS scores in comparison to cases with higher fibrinogen levels. By comparison of the patients who died during hospitalization and survivors, it was shown that fibrinogen < 150 mg/dl is among the prognostic factors for in-hospital mortality (OR:1.75, CI: 1.32:2.34, P-value < 0.001), while the comparison between patients with the favorable and unfavorable functional outcome at 6-month follow-up, was not in favor of prognostic effect of low fibrinogen level (OR: 0.80, CI: 0.58: 1.11, P-value: 0.19). Hypofibrinogenemia is associated with in-hospital mortality of TBI patients, along with known factors such as higher age and lower initial GCS score. However, it is not among the prognostic factors of midterm functional outcome.

Middle Meningeal Artery Embolization with Liquid Embolic Agents for Chronic Subdural Hematoma: A Systematic Review and Meta-analysis.

PURPOSE: To assess the efficacy and safety of middle meningeal artery (MMA) embolization with liquid embolic agents and the outcomes of patients following this procedure. MATERIALS AND METHODS: A review of the literature was conducted to identify studies investigating the efficacy and safety of MMA embolization with liquid embolic agents in patients with chronic subdural hematoma (cSDH) in PubMed, Scopus, Embase, and Web of Science. The keywords "liquid embolic agent," "middle meningeal artery," "cSDH," and "embolization" as well as their synonyms were used to build up the search strategy. The R statistical software and random-effects model were used for analysis. Heterogeneity was reported as I2, and publication bias was calculated using the Egger test. RESULTS: Of 628 articles retrieved, 14 studies were eligible to be included in this study. Data of 276 patients were analyzed. n-Butyl cyanoacrylate and ethylene vinyl alcohol copolymer were the most commonly used embolic agents. This study revealed a pooled mortality rate of 0% (95% confidence interval [CI], 0.00%-100%), recurrence and failure rate of 3% (95% CI, 1%-10%), reoperation/reintervention rate of 4% (95% CI, 2%-12%), rate of size decrease of 94% (95% CI, 79%-98%), technical success rate of 100% (95% CI, 76%-100%), and adverse event rate of 1% (95% CI, 0.00%-4%). CONCLUSIONS: With low mortality, recurrence, reoperation, and adverse event rates and a remarkable decrease in the size of hematomas, MMA embolization with liquid embolic agents may be considered a safe and effective treatment option in patients in whom surgical intervention has previously failed and as an alternative to conventional treatments.

Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements.

Artificial intelligence (AI) is currently being used as a routine tool for day-to-day activity. Medicine is not an exception to the growing usage of AI in various scientific fields. Vascular and interventional neurology deal with diseases that require early diagnosis and appropriate intervention, which are crucial to saving patients' lives. In these settings, AI can be an extra pair of hands for physicians or in conditions where there is a shortage of clinical experts. In this article, the authors have reviewed the common metrics used in interpreting the performance of models and common algorithms used in this field.

The trend of mortality rates following hospitals downgrading and closures due to outbreak of COVID-19 in Fars province: A comparative cohort study.

Background and Aims: Hospitals are one of the most important healthcare centers for providing the patients with different medical needs. Several different factors might cause hospitals to downgrade their services or departments or close down overall. One of the most multifaceted reasons for hospital downgrading or closure is infectious disease outbreaks. In this regard, we aimed to evaluate the effects of hospital closure and downgrading due to the COVID-19 pandemic on the mortality rate of the people residing in Fars province, Iran. Methods: We gathered mortality information, including the cause of death, age, sex, place, and time of death of all deceased cases occurring during a period of 3 years, from February 20, 2018 to March 2021 from the forensic medicine and also the Department of Biostatistics in Shiraz University of Medical Sciences. Results: A total of 71,331 deaths have been reported since 2018 through the first quarter of 2021, with 57.9% of total mortality cases attributed to male gender. The total mortality counts ranged from 4229 to 9809 deaths per quarter, from which the minimum rate was reported in the first quarter of 2018 and the maximum in the fourth quarter of 2020. Based on the causes of death, diseases of the circulatory system were shown to be the all-time most frequent cause of death, accounting for a total of 42.8% of recorded deaths, followed by neoplasms (9.77%) and diseases of the respiratory system (9.45%). Conclusion: Although the large number of deaths at the time of the pandemic are immediately due to COVID-19 infection, deaths due to a notable number of other causes have had a significant increase which, along with the specific trend of place and causes of death, shows that the downgrading and closure of hospitals have had a significant impact on overall population mortality.

Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.

BACKGROUND: This study aimed to investigate the application of deep learning (DL) models for the detection of subdural hematoma (SDH). METHODS: We conducted a comprehensive search using relevant keywords. Articles extracted were original studies in which sensitivity and/or specificity were reported. Two different approaches of frequentist and Bayesian inference were applied. For quality and risk of bias assessment we used Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). RESULTS: We analyzed 22 articles that included 1,997,749 patients. In the first step, the frequentist method showed a pooled sensitivity of 88.8% (95% confidence interval (CI): 83.9% to 92.4%) and a specificity of 97.2% (95% CI 94.6% to 98.6%). In the second step, using Bayesian methods including 11 studies that reported sensitivity and specificity, a sensitivity rate of 86.8% (95% CI: 77.6% to 92.9%) at a specificity level of 86.9% (95% CI: 60.9% to 97.2%) was achieved. The risk of bias assessment was not remarkable using QUADAS-2. CONCLUSION: DL models might be an appropriate tool for detecting SDHs with a reasonably high sensitivity and specificity.

Application of convolutional network models in detection of intracranial aneurysms: A systematic review and meta-analysis.

INTRODUCTION: Intracranial aneurysms have a high prevalence in human population. It also has a heavy burden of disease and high mortality rate in the case of rupture. Convolutional neural network(CNN) is a type of deep learning architecture which has been proven powerful to detect intracranial aneurysms. METHODS: Four databases were searched using artificial intelligence, intracranial aneurysms, and synonyms to find eligible studies. Articles which had applied CNN for detection of intracranial aneurisms were included in this review. Sensitivity and specificity of the models and human readers regarding modality, size, and location of aneurysms were sought to be extracted. Random model was the preferred model for analyses using CMA 2 to determine pooled sensitivity and specificity. RESULTS: Overall, 20 studies were used in this review. Deep learning models could detect intracranial aneurysms with a sensitivity of 90/6% (CI: 87/2-93/2%) and specificity of 94/6% (CI: 0/914-0/966). CTA was the most sensitive modality (92.0%(CI:85/2-95/8%)). Overall sensitivity of the models for aneurysms more than 3 mm was above 98% (98%-100%) and 74.6 for aneurysms less than 3 mm. With the aid of AI, the clinicians' sensitivity increased to 12/8% and interrater agreement to 0/193. CONCLUSION: CNN models had an acceptable sensitivity for detection of intracranial aneurysms, surpassing human readers in some fields. The logical approach for application of deep learning models would be its use as a highly capable assistant. In essence, deep learning models are a groundbreaking technology that can assist clinicians and allow them to diagnose intracranial aneurysms more accurately.

Constant current or constant voltage deep brain stimulation: short answers to a long story.

PURPOSE: Recently, the feature of generating constant current output has been added to the implantable pulse generators (IPGs). The efficacy of the conventionally used constant voltage (CV) stimulation has been proved in different movement and psychiatric disorders. In this systematic review, we aimed to discuss the effect of constant current (CC) and constant voltage stimulation on patients with Parkinson's disease (PD) who had subthalamic nucleus deep brain stimulation implantation; we also compared these methods of stimulation with each other. METHODS: Using the words "Deep brain stimulation", "constant current" and "constant voltage", we developed a broad search strategy and a systematic search was conducted in PubMed, Scopus, Web of Science and Cochrane electronic bibliographic databases. Studies on the Parkinson's disease patients with subthalamic deep brain stimulation, which mentioned constant current or/and constant voltage setting stimulation were included. RESULTS: After screening of 284 articles, 10 reports were found eligible for this study. The score of unified Parkinson's disease rating scale part 3 was improved compared to the baseline, whether the stimulation was CV at baseline or CC. No significant change in non-motor outcomes was found. CONCLUSIONS: Although CC stimulation has shown a significant improvement in both motor and non-motor symptoms of PD, switching from CV to CC did not result in a significant change in the score of these items based on UPDRS. To sum up, implantation of constant current devices is safe and significantly improves motor function; it also maintains an acceptable safety profile in patients with PD.

Early Morning Cortisol Level as a Predictive Factor for Long-Term Glucocorticoid Replacement After Pituitary Surgery: A Systematic Review and Meta-Analysis.

BACKGROUND: A reliable strategy for predicting long-term adrenal insufficiency after pituitary surgery can reduce the risk of glucocorticoid overexposure or missing patients with pituitary insufficiency. For this purpose, we aimed to assess the predictive value of early postoperative morning serum cortisol level for the detection of hypothalamic-pituitary-adrenal axis dysfunction in patients who underwent pituitary surgery. METHODS: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-based systematic review was conducted to include articles investigating morning blood cortisol levels after pituitary surgery for lesions of the pituitary gland as a determinant for administration of long-term supplemental glucocorticoids. Bayesian statistics were used to pool the sensitivity and specificity rates. Sensitivity and specificity were also determined for each potential cortisol level on postoperative day (POD) 1 and POD 2. RESULTS: The study included 17 articles encompassing 1648 patients. Morning cortisol levels on POD 1 and POD 2 showed pooled sensitivity rates of 86.4% and 86.6% and pooled specificity rates of 73.1% and 78.2%, respectively, for predicting long-term glucocorticoid replacement after surgery. A cortisol level of 2.1 µg/dL showed the highest sensitivity rate (98.78%), and 22.5 µg/dL showed the highest specificity rate (72.5%) on POD 1. CONCLUSIONS: In this review and Bayesian meta-analysis, we found that postoperative serum cortisol measurement may have high accuracy in prediction of the long-term need for glucocorticoid administration in patients who underwent pituitary surgery.

Particle embolic agents for embolization of middle meningeal artery in the treatment of chronic subdural hematoma: A systematic review and meta-analysis.

OBJECTIVE: In this systematic review and meta-analysis, we investigated the efficacy and safety of middle meningeal artery embolization (MMAE) using particle embolic agents to treat cSDH. METHODS: To retrieve articles investigating outcomes of patients following MMAE with particle agents and to compare their outcome with conventional treatment, Scopus, PubMed, Embase, and Web of Science were searched using relevant keywords. Original articles with more than 10 cases were included. The meta-analysis was carried out using the R studio and the random-effects model. Publication bias was assessed using Peter's test and quality assessment using NIH tools. RESULTS: Eleven studies with 359 patients were included. The analysis revealed a pooled recurrence rate of 5% (CI: 3-8%), a need for reoperation rate of 5% (3-9%), and a peri-procedural complication rate of 4% (CI:2-9%) following MMAE with particle embolic agents. The pooled rates of decrease in size or resolution of the hematoma were 85% (CI:66-94%) and 66% (39-86%), respectively. Comparing MMAE using particulate embolysate with conventional treatments, risk ratio (RR) of 0.10 (CI:0.04-0.27) was achieved for recurrence, 0.25(CI:0.13-0.49) for reoperation, and 0.34 (CI:0.16-0.27) for peri-procedural complications. 91% of cSDH cases responded to MMAE with particles in the way they showed either down-sizing or complete resolution of the hematoma on follow-up imaging. In comparison, this rate was found to be 63% following conventional treatment. CONCLUSION: Middle meningeal artery embolization using particle embolysates is a safe and effective technique for the treatment of cSDH, whether as a standalone intervention or in combination with conventional treatments.