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Abstract: Introduction: Acute myocardial infarction has a high prevalence and possibility of death if timely care is not given. It is possible that treatment could be delayed during a health crisis such as the COVID-19 pandemic. Objective: The objective of this study was to evaluate the impact of the COVID-19 pandemic on the function of the infarction code in the High Specialty Medical Unit of our institution. The medical indicators of acute coronary ischemic syndrome with ST-segment elevation were compared at two times: before the COVID-19 pandemic and during it. Material and methods: An ambispective, analytical, comparative cohort study was conducted, comparing the periods of February-September 2019 and February-September 2020, in the High Specialty Medical Unit, Centro Médico del Bajío number 1, Instituto Mexicano del Seguro Social, Leon, Guanajuato, Mexico. All patients older than 18 years with clinical, electrocardiographic, and enzymatic data of acute coronary ischemic syndrome, accepted in the medical network as infarction code registered in the National Registry of Acute Coronary Ischemic Syndromes (RENASCA) electronic case report form were included in the study. Results: The independent samples t-test was used to determine the impact of the infarction code initiative based on the reperfusion therapies performed, the door-to-needle, the door-to-balloon time, and the ischemia time. There was a significant difference in the reperfusion strategy, with greater thrombolysis during the COVID-19 pandemic (57.4% versus 72.6%, odds ratio [OR] 1.97, 95% confidence interval [CI] 0.49-0.82, p < 0.001), as well as reperfusion criteria (21.03% versus 35.37%, OR 2.05, 95% CI 0.53-0.80, p < 0.0001). Mortality was not different between the time periods. Conclusions: The COVID-19 pandemic has not impacted operation of the infarction code in the High Specialty Medical Unit Centro Médico del Bajío number 1 because the medical indicators of acute coronary ischemic syndrome with ST-segment elevation did not change.

Abstract Trees sequester and store large amounts of carbon within their biomass, thus helping to mitigate the effects of the greenhouse gasses (GHG). To date, no allometric equations exist to estimate biomass of the forest tree species from Guerrero, Mexico. That is why the aim of the present study was to generate equations to estimate aboveground biomass for Pinus oocarpa Schiede and Quercus resinosa Liebmann. Databases consisted of 33 and 19 sample trees for the pine and oak species, respectively, all of them distributed in temperate forest within Hueyapa river micro-watershed, Guerrero, Mexico. The biomass was estimated based on the dry weight of 6 to 14 samples per tree component, according to tree size. Power models were adjusted in their linear form and with Box-Cox transformation. The model that best estimated the aboveground biomass in P. oocarpa was the power function and for Q. resinosa it was the one obtained with the Box-Cox transformation, using the logarithm of the diameter at breast height ( l n D i) and the transformed combined variable ( D i 2 H i ) ' as the independent one, respectively. The allometric equations generated fill the existing vacuum for the estimating the aboveground biomass of these forest species in Guerrero state.

Resumen Los árboles capturan y almacenan grandes cantidades de carbono en su biomasa e impactan positivamente en la mitigación de los gases de efecto invernadero (GEI). Hasta esta fecha, no existen ecuaciones alométricas que estimen la biomasa de árboles del estado de Guerrero, México. El presente trabajo tuvo como objetivo generar ecuaciones para estimar la biomasa aérea de árboles de Pinus oocarpa Schiede y Quercus resinosa Liebmann. Se realizó un muestreo destructivo de 33 árboles para la primera especie y 19 para la segunda, distribuidos en el bosque templado de la microcuenca del río Hueyapa, Guerrero, México. La biomasa de los componentes del árbol se estimó con base en el peso seco de 6 a 14 muestras por componente arbóreo, según el tamaño del árbol. Se ajustaron modelos potenciales en su forma lineal y con transformación Box-Cox. El modelo que mejor estimó la biomasa aérea en P. oocarpa fue el potencial y para Q. resinosa fue el que se obtuvo con la transformación Box-Cox, usando logaritmo del diámetro normal ( l n D i) y la variable combinada transformada ( D i 2 H i ) ' como variable independiente. Las ecuaciones alométricas generadas rellenan el vacío existente para la estimación de la biomasa aérea de estas especies forestales en el estado de Guerrero.

Abstract: The presence of three ambrosia beetle species of Xyleborus genus (Curculionidae: Scolytinae) were recorded in avocado trees (Persea americana) from Colima, México; they were Xyleborus affinis Eichhoff, X. volvulus Fabricius, and X. spinulosus Blandford.

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