Publications by authors named "Daniel A Diaz Martinez"

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.

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Purpose: This study explores the impact of gestational diabetes mellitus (GDM) subtypes classified by oral glucose tolerance test (OGTT) values on maternal and perinatal outcomes.

Patients And Methods: This multicenter prospective cohort study (May 2019-December 2022) included participants from the Mexican multicenter cohort study (CME). Women were classified into four groups per 75-g 2-h OGTT: 1) normal glucose tolerance (normal OGTT), 2) GDM-Sensitivity (isolated abnormal fasting or abnormal fasting in combination with 1-h or 2-h abnormal results), 3) GDM-Secretion (isolated abnormal values at 1-h or 2-h or their combination), and 4) GDM-Mixed (three abnormal values).

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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.

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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.

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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.

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Article Synopsis
  • The study examines the effectiveness of capillary blood glucose testing compared to the traditional oral glucose tolerance test (OGTT) for detecting gestational diabetes mellitus (GDM) among pregnant women in low-resource settings in Mexico.
  • It involved 947 pregnant women, showing that capillary testing had high sensitivity (89.47%) and moderate specificity (66.58%) when compared to venous plasma measurements from the OGTT.
  • The findings suggest that capillary blood glucose testing is a valid and feasible alternative for GDM screening in primary healthcare, especially in low-resource settings, without any reported adverse events.
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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.

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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.

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