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1.
BMC Anesthesiol ; 24(1): 285, 2024 Aug 12.
Article in English | MEDLINE | ID: mdl-39134965

ABSTRACT

BACKGROUND: Spinal anesthesia (SA) is a conventional method for proper nerve block in abdominopelvic and lower extremity surgeries. Compared to general anesthesia, SA has reduced perioperative complications significantly. The hyperbaric type of bupivacaine hydrochloride (HB) induces spinal anesthesia more efficiently with a lower incidence of life-threatening adverse reactions like Perioperative hemodynamic changes and respiratory depression. More investigations are needed to define the best dosage that provides adequate anesthesia while reducing adverse effects for each surgical procedure. METHODS: This double-blinded randomized clinical trial compared the consequences of the (12.5mg,15mg,20mg) dosages of HB-bupivacaine in elective lower limb orthopedic surgery. Using block randomization, we allocated 60 participants to three (n = 20) study groups. Utilizing the same protocol of anesthesia induction, outcome variables assumed and measured as the incidence of the adverse effects (Hypotension, Anxiety, Bradycardia, Nausea and Vomiting(N/V), Hypoventilation, and Decreased o2 saturation), and the requirement for intervention to control the unwanted reaction. Addressing that, outcome variables were measured 10 times perioperatively. One-way ANOVA test, the chi2 test, or repeated measures ANOVA test with the Bonferroni adjustment were utilized as appropriate. RESULTS: We found that the incidence of hypotension (P-value:0.02) and the N/V (P-value < 0.001) are associated with the HB-bupivacaine dosage. Contrary, our findings indicate that the incidence of apnea, bradycardia, and hypoventilation did not exhibit a significant dose-dependent pattern between the groups. Repeated measures analysis revealed significant intergroup differences for Herat rate, systolic, diastolic, and mean arterial pressure (group*time Pvalue < 0.001). The observed differences were more prominent 10-30 min after injection of HB-bupivacaine. The regression model claimed that gender (P-value:0.002) and drug dosage (P-value:0.03) significantly predict the incidence of adverse effects. CONCLUSION: Our results, suggest that the administration of the 12.5mg HB-bupivacaine provides adequate anesthesia while minimizing the risk of adverse events for lower limb orthopedic surgeries lasting up to 180 min. TRIAL REGISTRATION: The study was registered at the Clinical Trial Registry Center (IRCT20160202026328N7), Registered on 2022.01.10.


Subject(s)
Anesthesia, Spinal , Anesthetics, Local , Bupivacaine , Dose-Response Relationship, Drug , Lower Extremity , Orthopedic Procedures , Humans , Bupivacaine/administration & dosage , Anesthesia, Spinal/methods , Double-Blind Method , Male , Female , Anesthetics, Local/administration & dosage , Lower Extremity/surgery , Adult , Orthopedic Procedures/methods , Middle Aged
2.
Med J Islam Repub Iran ; 37: 43, 2023.
Article in English | MEDLINE | ID: mdl-37426476

ABSTRACT

Background: During the pandemic of COVID-19, the function and performance of hospitals have been affected by various economic-financial and management aspects. The aim of the current study was to assess the process of therapeutic care delivery and also the economic-financial functions of the selected hospitals before and after COVID-19. Methods: This research is a descriptive-analytical study and a cross-sectional-comparative study in terms of time, and it was conducted in several selected teaching hospitals of Iran University of Medical Sciences. A purposeful and convenient sampling method was used. The data has been collected using the standard research tool (standard checklist of the Ministry of Health) in the two areas of financial-economic and healthcare performance (such as Data of financial and economic indicators such as direct and indirect costs, liquidity ratio and profitability index as well as key performance indicators of hospitals such as bed occupancy ratio (BOR; %), average length of stay (ALOS), bed turnover rate (BTR), bed turnover distance rate (BTIR) and hospital mortality rate (HMR), physician-to-bed ratio and nurse-to-bed ratio) of hospitals in two times before and after the outbreak of COVID-19 (time period 2018 to 2021). The data was collected from 2018 to 2021. Pearson/Spearman regression was used for the evaluation of the relationship between variables using SPSS 22. Results: This research showed the admission of COVID-19 patients caused a change in the indicators we evaluated. ALOS (-6.6%), BTIR (-40.7%), and discharge against medical advice (-7.0%) decreased from 2018 to 2021. BOR; % (+5.0%), occupy bed days (+6.6%), BTR (+27.5%, HMR (+50%), number of inpatients (+18.8%), number of discharges (+13.1%), number of surgeries (+27.4%), nurse-per-bed ratio (+35.9%), doctor-per-bed ratio (+31.0%) increased in the same period of time. The profitability index was correlated to all of the performance indicators except for the net death rate. Higher length of stay and turnover interval had a negative effect on the profitability index while higher bed turnover rate, bed occupancy ratio, bed day, number of inpatient admission, and number of surgery had a positive effect on the profitability index. Conclusion: It has been shown from the beginning of the COVID-19 pandemic, the performance indicators of the studied hospitals were negatively affected. As a consequence of the COVID-19 epidemic, many hospitals were not able to deal with the negative financial and medical outcomes of this crisis due to a significant decrease in income and a double increase in expenses.

3.
Chin J Traumatol ; 26(5): 267-275, 2023 Sep.
Article in English | MEDLINE | ID: mdl-36577609

ABSTRACT

PURPOSE: To systematically review the risk of permanent disability related to road traffic injuries (RTIs) and to determine the implications for future research regarding permanent impairment following road traffic crashes. METHODS: We conducted this systematic review according to the preferred reporting items for systematic reviews and meta-analysis statement. An extended search of the literature was carried out in 4 major electronic databases for scientific research papers published from January 1980 to February 2020. Two teams include 2 reviewers each, screened independently the titles/abstracts, and after that, reviewed the full text of the included studies. The quality of the studies was assessed using the strengthening the reporting of observational studies in epidemiology (STROBE) checklist. A third reviewer was assessed any discrepancy and all data of included studies were extracted. Finally, the data were systematically analyzed, and the related data were interpreted. RESULTS: Five out of 16 studies were evaluated as high-quality according to the STROBE checklist. Fifteen studies ranked the initial injuries according to the abbreviated injury scale 2005. Five studies reported the total risk of permanent medical impairment following RTIs which varied from 2% to 23% for car occupants and 2.8% to 46% for cyclists. Seven studies reported the risk of permanent medical impairment of the different body regions. Eleven studies stated the most common body region to develop permanent impairment, of which 6 studies demonstrated that injuries of the cervical spine and neck were at the highest risk of becoming permanent injured. CONCLUSION: The finding of this review revealed the necessity of providing a globally validated method to evaluate permanent medical impairment following RTIs across the world. This would facilitate decision-making about traffic injuries and efficient management to reduce the financial and psychological burdens for individuals and communities.


Subject(s)
Disabled Persons , Wounds and Injuries , Humans , Accidents, Traffic , Abbreviated Injury Scale , Databases, Factual , Wounds and Injuries/epidemiology , Wounds and Injuries/etiology
4.
Clin Exp Vaccine Res ; 10(1): 47-51, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33628754

ABSTRACT

PURPOSE: The aim of this study was to compare the hepatitis B surface antibody (HBs Ab) titer 1 month after the 4th dose of hepatitis B vaccine administration on the large and appropriate for gestational age infants. MATERIALS AND METHODS: This cross-sectional study was conducted on 7-month-old cases (n=132) divided into two groups of 2-4 kg (group 1: appropriate for gestational age, 63 cases) and >4 kg (group 2: large for gestational age, 69 cases), whom were vaccinated with a four-dose schedule of hepatitis B vaccine in 2016, Tehran, Iran. RESULTS: Mean birth weight of the groups was 2.98±0.528 and 4.19±0.190 kg, respectively. Hepatitis B surface antigen and hepatitis B core antibody were negative in all cases. HBs Ab level in group 1 and 2 was 13,701.00±11,744.439 and 8,997.15±2,827.191, respectively (95% confidence interval of difference, -7,607.44 to -1,800.25). There was a significant difference between the two groups in antibody titration and antibody logarithm level (p=0.002, p=0.0001). CONCLUSION: Birth weight may affect the response to the hepatitis B virus vaccine administration.

5.
Virusdisease ; 31(3): 241-243, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32837969

ABSTRACT

On 10 January 2020, a new coronavirus causing a pneumonia outbreak spread rapidly in all of the World. On 19 February 2020, the first official announcement of death from 2019-Nov was made in Iran. As of 7 March 2020, there were 101,927 confirmed cases of Covid-19 infection, including 3486 deaths, reported in the World. In the eastern and Mediterranean region Iran with 4747 confirmed cases of Covid-19 infection and 124 deaths, is in the critical stage. Therefore, there is a matter of urgency combating this new virus and stopping the epidemic. Here, we focus on symptoms and the development of fast diagnosis methods, as well as potential management to prevent or treat the Covid-19 infection.

6.
Med J Islam Repub Iran ; 34: 40, 2020.
Article in English | MEDLINE | ID: mdl-32617279

ABSTRACT

Background: The aim of this study was to determine the baseline statistics of intussusception in the under-five- year age group in Iran to facilitate the monitoring of potential side effects after administration of rotavirus vaccine. Methods: This hospital-based historical cohort study reviewed children under 60 months of age with the final diagnosis of intussusception, ICD-10 code K56.1, using census in all hospitals of Tehran, Iran from March 2010-2015. Demographic (sex, age, hospital stay duration), clinical manifestations (such as currant jelly stool, abdominal pain, vomiting, and fever),diagnostic and treatment methods (contrast enema, ultrasonography, laparotomy, and laparoscopy), and outcome data of patients aged less than 5 years with the diagnosis of intussusception were collected and analyzed using SPSS Version 16.0 (SPSS Inc., Chicago, IL, USA) Results: In this study, 759 patients were diagnosed with intussusception; 309 (40.7%) cases were less than 12 months old. The annual incidence of intussusception was 66.54 cases per 100.000 in children less than one-year-old and 31.61 cases per 100.000 in children less than five years old. The most common symptoms and signs were abdominal pain/irritability (94.2%) and tenderness (24.2%), respectively. The diagnostic method was ultrasound in 75.9% of cases. The most frequent anatomic location was the ileocolic region (87.87%) and the most common treatment method was barium enema. Conclusion: This research has provided a baseline statistic for childhood intussusception in Tehran prior to the administration of the rotavirus vaccine to provide a better comparison with post-introduction data.

7.
Indian J Otolaryngol Head Neck Surg ; 71(Suppl 1): 279-285, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31741973

ABSTRACT

Adenotonsillectomy is one of the main operations on the head and neck surgery quality in children. This study aimed to compare the olfactory threshold changes in adenotonsillectomy patients. This comparative study was done on 152 children whom candidate for adenotonsillectomy before and 3 weeks after the operation referred to the Dr. Kermanshahi Hospital, Kermanshah, Iran during 2015-2016. The olfactory threshold was determined by olfactory test using phenyl butyl alcohol in propylene glycol. The orthonasal test was done by a strip and the lowest propylene glycol detection used as olfactory threshold. The mean age was 6.81 ± 3.83 of patients were boys and 69 of them were girls. The allergic rhinitis was detected in 83.6% of the patients before the adenotonsillectomy while it was only in 16.4% after adenotonsillectomy. Also, nocturia was higher before the adenotonsillectomy 104 (68.4%) compared to post-adenotonsillectomy 48 (31.6%). In 73 (48%) patients, the sleep quality score was 10 after the surgery while there was a patient with score 10 before the operation. The positive allergic rhinitis was higher in male 70 (84.3%) compared to female 57 (82.6%). Also, no significant difference detected on nocturia (P = 0.531). Also, significant difference detected between 2 groups in sleep quality score before and after the adenotonsillectomy (P = 0.001). The olfactory threshold significantly improved after surgery compared to previous (P = 0.034). These results suggest olfactory threshold improves after adenotonsillectomy in children.

8.
Comput Methods Programs Biomed ; 169: 19-36, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30638589

ABSTRACT

BACKGROUND AND OBJECTIVE: Taking into consideration the critical importance of Sudden cardiac death (SCD), as it could be the first and the last heart condition to be diagnosed in a person while continuing to claim millions of lives around the world, prediction of sudden cardiac death has increasingly been regarded as a matter of substantive significance. This study does not seek to once again define features to predict and detect SCD, as there already has been adequate discussion addressing feature extraction in our previous works and other recent studies. What seems to be lacking attention is the need for an appropriate strategy to manage the extracted features to such an extent that the best classification is presented. To this end, deploying a suitable tactic to select extracted features could bring about outstanding results compared to other works in the literature. METHODS: This research has accordingly applied a novel and automated approach to Local Feature Subset Selection through the most rigorous methodologies, which have formerly been developed in previous works of this team, for extracting features from nonlinear, time-frequency and classical processes. We are therefore enabled to select features that differ from one another in each minute before the incident through the agency of optimal feature selection in each one-minute interval of the signal. RESULTS: Using the proposed algorithm, SCD can be predicted 13 min before the onset, thus, better results are achieved compared to other techniques proposed in this field. Additionally, through defining a Utility Function and employing statistical analysis the alarm threshold has been effectively determined as 84% for the prediction accuracy. Having selected the best combination of features, based on their ability to generate the highest classification accuracy, the two classes are classified by means of the Multilayer Perceptron (MLP), K- Nearest Neighbor (KNN) the Support Vector Machine (SVM), and the Mixture of Expert (ME) classifier. The Mixture of Experts classification yielded more precise class discrimination than other well-known classifiers. The performance of the proposed method was evaluated using the MIT-BIH database which led to sensitivity, specificity, and accuracy of 84.24%, 85.71%, and 82.85%, respectively for thirteen one-minute. CONCLUSIONS: The outcome of the obtained prediction would be analyzed and compared to other results. The most applicable and effective features would subsequently be presented according to the number of times they have been chosen. Finally, principal features in each time interval are discussed and the importance of each type of processing will be drawn into focus. The results indicate the significant capacity of the proposed method for predicting SCD from Electrocardoigram (ECG) signals as well as selecting the appropriate processing method at any time before the incident.


Subject(s)
Death, Sudden, Cardiac , Heart Rate/physiology , Signal Processing, Computer-Assisted , Algorithms , Forecasting , Humans
9.
Comput Methods Programs Biomed ; 165: 53-67, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30337081

ABSTRACT

BACKGROUND AND OBJECTIVE: Paroxysmal Atrial Fibrillation (PAF) is one of the most common major cardiac arrhythmia. Unless treated timely, PAF might transform into permanent Atrial Fibrillation leading to a high rate of morbidity and mortality. Therefore, increasing attention has been directed towards prediction of PAF, to enable early detection and prevent further progression of the disease. Notwithstanding the pharmacological and electrical treatments, a validated method to predict the onset of PAF is yet to be developed. We aim to address this issue through integrating classical and modern methods. METHODS: To increase the predictivity, we have made use of a combination of features extracted through linear, time-frequency, and nonlinear analyses performed on heart rate variability. We then apply a novel approach to local feature selection using meticulous methodologies, developed in our previous works, to reduce the dimensionality of the feature space. Subsequently, the Mixture of Experts classification is employed to ensure a precise decision-making on the output of different processes. In the current study, we analyzed 106 signals from 53 pairs of ECG recordings obtained from the standard database called Atrial Fibrillation Prediction Database (AFPDB). Each pair of data contains one 30-min ECG segment that ends just before the onset of PAF event and another 30-min ECG segment at least 45 min distant from the onset. RESULTS: Combining the features that are extracted using both classical and modern analyses was found to be significantly more effective in predicting the onset of PAF, compared to using either analyses independently. Also, the Mixture of Experts classification yielded more precise class discrimination than other well-known classifiers. The performance of the proposed method was evaluated using the Atrial Fibrillation Prediction Database (AFPDB) which led to sensitivity, specificity, and accuracy of 100%, 95.55%, and 98.21% respectively. CONCLUSION: Prediction of PAF has been a matter of clinical and theoretical importance. We demonstrated that utilising an optimized combination of - as opposed to being restricted to - linear, time-frequency, and nonlinear features, along with applying the Mixture of Experts, contribute greatly to an early detection of PAF, thus, the proposed method is shown to be superior to those mentioned in similar studies in the literature.


Subject(s)
Atrial Fibrillation/diagnosis , Diagnosis, Computer-Assisted/methods , Electrocardiography/methods , Analysis of Variance , Atrial Fibrillation/classification , Atrial Fibrillation/physiopathology , Databases, Factual , Diagnosis, Computer-Assisted/statistics & numerical data , Electrocardiography/statistics & numerical data , Expert Systems , Heart Rate , Humans , Linear Models , Machine Learning , Nonlinear Dynamics , Signal Processing, Computer-Assisted , Support Vector Machine
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