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Mass violence events, especially in healthcare settings, have devastating consequences and long-lasting effects on the victims and the community. The rate of violent events in Mexico, especially in hospital settings, has increased since 2006, but has become more evident in 2018. Guanajuato State, located in central Mexico, is among the states most affected by the wave of violence, especially active shooter events. The year 2019 had the highest number of incidents. Therefore, the Silver Code and the components of Safe Hospitals, in accordance with the Hartford consensus and PAHO guidelines, were implemented in the hospitals of the Institute of Public Health of the State of Guanajuato, with a focus on the actions of healthcare personnel to prevent collateral damage. Although subsequently there were still fatalities and injuries in the events involving active shooters in the hospitals, there were no casualties among healthcare personnel, according to data from the Institute of Public Health, Guanajuato State. This paper presents information from the data from General Directorate of Epidemiology to describe the hospital mass violence situation in the State of Guanajuato, Mexico and recounts the step taken to effectively manage and prevent these situations moving forward. Specific recommendations based on international consensus and our experience provided include increasing the level of security checks for people entering the hospital premises, training healthcare personnel on violence-related preparedness and improving management of active shooter events consistent with published evidence, to reduce the possibility of casualties.

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Background: Surgical fatigue syndrome (SFS) is a frequent, but underestimated, entity that occurs during laparoscopic surgeries. It could impair surgical outcomes, patient safety, and surgeon health. Furthermore, current surgical education lacks effective interventions to avoid it. Discomfort represents the most common manifestation and includes musculoskeletal fatigue, numbness, or frank pain. The most common affected sites are the back neck, dominant hand shoulder, and high or low back. We propose an integral intervention (surgeon posture, instruments/devices design & use and discomfort improvement) that prevents or mitigates SFS. Methods: An experimental study was conducted on 57 general surgery residents and general surgeons. Participants in the experimental and control group executed standardized laparoscopic knots in a simulator and knowledge, body discomfort, and posture/ergonomic risk was evaluated before and after intervention application. Results: A statistically significant decrease in discomfort intensity was found in the experimental group. Also, discomfort presentation by the anatomic site diminishes and surgical performance improves. Conclusions: Intervention prevents or mitigates discomfort associated with muscle-skeletal component of SFS. ACGME competency: Practice Based-Learning and Improvement.

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The prenatal approach from a preventive perspective is necessary to reduce perinatal complications. A perinatal care model with a holistic and horizontal approach is required. Mexico is currently considered an emerging market economy with inequality and an economic gap that impacts the accessibility and distribution of healthcare services. Guanajuato is one of the 32 states of Mexico and represents 1.6% of the country's surface. Strategies during the prenatal approach allow prediction, diagnosis, and anticipation of the principal causes of morbidity and mortality. Combining data from maternal characteristics and history with findings of biophysical and biochemical tests at 11 to 13 weeks of gestation can define the patient-specific risk for a large spectrum of complications that include miscarriage and fetal death, preterm delivery, preeclampsia, congenital disorders, and fetal growth abnormalities. We aim to describe the care model designed and implemented in the State Center for Timely Prenatal Screening of the Maternal and Child Hospital of Leon, Guanajuato, Mexico. Previous research showed there is a lack of information for low and middle-income countries regarding how to integrate prenatal screening strategies in the absence of resources to perform cell-free fetal DNA or biochemical serum markers in countries with emergent economies. This care model is carried out through horizontal processes where the screening is provided by trained and certified general practitioners who identify the population at risk in a timely manner for specialized care, and could help guide other Mexican states, and other countries with emergent economies with limited financial, professional, and infrastructural resources to improve prenatal care with a sense of equity, equality, and social inclusion as well as the timely evaluation of specialized perinatal care of high-risk patients.

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Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study 'Cuido mi embarazo'. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of developing GDM. This AI-based model will be applied throughout Mexico to improve the timing and quality of GDM interventions. Given the ease of obtaining the model variables, this model is expected to be clinically strategic, allowing prioritization of preventative treatment and promising a paradigm shift in prevention and primary healthcare during pregnancy. This AI model uses variables that are easily collected to identify pregnant women at risk of developing GDM with a high level of accuracy and precision.

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Purpose: Few pregnant women in low-resource settings are screened for gestational diabetes mellitus (GDM) using the gold standard oral glucose tolerance test (OGTT). This study compared capillary blood glucose testing with 2-h plasma glucose measurements obtained using the 75-g OGTT to screen for GDM at primary healthcare clinics in Mexico. Patients and Methods: Pregnant women who participated in a previous prospective multicenter longitudinal cohort study and who had not been previously diagnosed with diabetes were included. Participants were evaluated using the plasmatic 2-h 75-g OGTT with simultaneous capillary blood glucose measurements using a glucometer. The study endpoint was the comparability of the glucometer results to the gold standard OGTT when collected simultaneously. Sensitivity, specificity, and area under the curve of the glucose measurements obtained for capillary blood compared with venous plasma (gold standard) were calculated to determine diagnostic accuracy. Results: The study included 947 pregnant women who had simultaneous glucose measurements available (blood capillary [glucometer] and venous blood OGTT). Overall, capillary blood glucose testing was very sensitive (89.47%); the specificity was 66.58% and the area under the curve (95% confidence interval) was 0.78 (0.74-0.81). The sensitivity, specificity and area under the curve of each capillary measurement were: 89.47%, 66.58% and 0.78 (0.74-0.82) for the fasting measurement, 91.53%, 93.24% and 0.92 (0.88-0.96) for the one-hour measurement, and 89.80%, 93.32%, 0.91 (0.87-0.95) for the second-hour measurement, respectively. No adverse events were reported. Conclusion: Capillary OGTT is a valid alternative to the gold standard OGTT for screening of GDM in low-resource situations or in situations where there are other limitations to performing the OGTT as part of primary healthcare services.

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Background: The emergence of the SARS-CoV-2 and the COVID-19 have become a global health crisis. The infection has been present in all the social sectors. Subjects under 18 years are one of them. The objective was to analyze the case fatality ratio of COVID-19 cases in the Mexican population under 18 years of age registered in the National Epidemiological Surveillance System from March 2020 to December 31, 2020. Material and Methods: The design is cross-sectional, quantitative, and analytical. All the suspected cases of respiratory viral disease, with a real-time polymerase chain reaction (RT-PCR) test result, aged from 0 to 17 years, were included. Descriptive statistics are presented for all the variables. Epidemiological curves were designed. The chi-squared test and its P-values were obtained to show the relationship between comorbidities and death. The case fatality ratio was computed for each comorbidity, sex, and age group. Multivariable logistic regression models were fitted to study the effect between comorbidities with the fatality of cases, adjusting for sex and age group as potential confounders. The alpha value was fixed to 0.05 to assess significance. Results: The number of records for this study was 167,856. Among them, 48,505 were from SARS-CoV-2-positive patients (28.90%), and 119,351 (71.10%) were negative. Of those who died, males (55.29%) (P < 0.05) and those under 2 years of age (50.35%) (P < 0.05) predominated. Unlike in older populations, from the comorbidities considered risk factors for death by COVID-19, only immunosuppression showed a statistically significant effect on the fatality of cases after adjustment by the other related variables. Sex and age group were not confounders for the models in those under 18 years old. Pneumonia, being younger than 5 years, and immunosuppression are related to death. Conclusion: The case fatality ratio in those under 18 years old is low. Special attention must be paid to those children under 5 years. The development of pneumonia is a warning indicator while treating them. On the other hand, having an open database of cases allows the researchers to analyze the impact of COVID-19 in different population sectors, which has clear benefits for public health.

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OBJECTIVE: To compare two intestinal lengthening procedures in an experimental dog model. BACKGROUND: Intestinal lengthening is one of the methods for gastrointestinal reconstruction used for treatment of short bowel syndrome. The modification to the Bianchi's technique is an alternative. The modified technique decreases the number of anastomoses to a single one, thus reducing the risk of leaks and strictures. To our knowledge there is not any clinical or experimental report that studied both techniques, so we realized the present report. METHODS: Twelve creole dogs were operated with the Bianchi technique for intestinal lengthening (group A) and other 12 creole dogs from the same race and weight were operated by the modified technique (Group B). Both groups were compared in relation to operating time, difficulties in technique, cost, intestinal lengthening and anastomoses diameter. RESULTS: There were no statistical difference in the anastomoses diameter (A = 9.0 mm vs. B = 8.5 mm, p = 0.3846). Operating time (142 min vs. 63 min) cost and technique difficulties were lower in group B (p < 0.0001). Intestinal lengthening was greater in group B (p = 0.0006). At the end of surgery as well as four hours later, all except one of the anastomoses (of Group B) and intestinal segments had good blood supply and were patent along their full length. CONCLUSION: Bianchi technique and the modified technique offer two good reliable alternatives for the treatment of short bowel syndrome. The modified technique improved operating time, cost and technical issues.

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