[COVID-19 readmissions during the first three epidemic periods in Orihuela, Spain: incidence, risk factors and letality]. / Reingresos por la COVID-19 durante los tres primeros periodos epidémicos en Orihuela, España: incidencia, factores de riesgo y letalidad.

OBJECTIVE: Readmission for COVID-19 is associated with high mortality, saturation of health services, and high costs. This study aimed to assess the incidence and risk factors of readmissions in COVID-19 patients in a regional hospital of Spain from February 2020 to March 2021. METHODS: A retrospective cohort study describing the characteristics of adult patients readmitted within thirty days of discharge after being infected with SARS-CoV-2 was carried out. Readmission associated risk factors were analysed using a binary logistic regression model. RESULTS: Of the 967 patients who survived their first COVID-19 admission, 70 (7.2%) were readmitted within thirty days. Of these, 34.3% presented pneumonia progression, 15.7% functional deterioration, and 12.9% other infections. The mortality rate during readmission was 28.6%. There were no statistically significant differences in the cumulative incidence of readmissions between the epidemic periods (p=0.241). Factors independently associated with readmission were: diabetes mellitus (aOR 1.96, 95%CI 1.07-3.57, p=0.030); acute kidney failure (aOR 2.69, 95%CI 1.43-5.07, p=0.002); not being a candidate for intensive care (aOR 7.68, 95% CI 4.28-13.80, p<0.001); and not being prescribed corticosteroids at discharge (aOR 2.15, 95% CI 1.04-4.44; p=0.039). CONCLUSIONS: A substantial proportion of patients admitted due to COVID-19 are readmitted, and they carry a high letality. Diabetes mellitus, acute kidney failure, not being a candidate for ICU admission, and not being prescribed corticosteroids on discharge are independently associated with an increased risk of readmission.

OBJECTIVE: Los reingresos por la COVID-19 se asocian a un incremento de la mortalidad, saturación de los servicios sanitarios y elevados costes. Este estudio pretendió evaluar la incidencia y los factores de riesgo de reingreso en pacientes con COVID-19 en un hospital comarcal español entre febrero de 2020 y marzo de 2021. METHODS: Se realizó un estudio sobre una cohorte que describía las características de los pacientes adultos reingresados en los treinta días siguientes al alta tras un ingreso por la COVID-19. Se analizaron los factores de riesgo asociados a reingreso mediante un modelo de regresión de logística binaria. RESULTS: De los 967 pacientes dados de alta de un primer ingreso por la COVID-19, 70 (7,2%) reingresaron en los treinta días siguientes. De ellos, el 34,3% presentó progresión de la neumonía, el 15,7% deterioro funcional y el 12,9% otras infecciones. La letalidad en el reingreso fue del 28,6%. No hubo diferencias estadísticamente significativas en la incidencia acumulada de reingreso entre los tres periodos (p=0,241). Los factores asociados de forma independiente con el reingreso fueron: diabetes mellitus (ORa: 1,96; IC 95%:1,07-3,57; p=0,030); insuficiencia renal aguda (ORa 2,69; IC del 95%: 1,43-5,07, p=0,002); no ser candidato a cuidados intensivos (ORa 7,68, IC 95% 4,28-13,80, p<0,001); y no tener prescritos corticosteroides al alta (ORa 2,15, IC 95% 1,04- 4,44; p=0,039). CONCLUSIONS: Una proporción sustancial de los pacientes ingresados por la COVID-19 reingresan, con una elevada letalidad. La diabetes mellitus, la insuficiencia renal aguda, no ser candidato a ingreso en UCI y no tener prescritos corticoides al alta se asocian con un mayor riesgo de reingreso.

Reingresos por la COVID-19 durante los tres primeros periodos epidémicos en Orihuela, España: incidencia, factores de riesgo y letalidad / COVID-19 readmissions during the first three epidemic periods in Orihuela, Spain: incidence, risk factors and letality

Fundamentos: los reingresos por la covid-19 se asocian a un incremento de la mortalidad, saturación de los servicios sanitarios y elevados costes. Este estudio pretendió evaluar la incidencia y los factores de riesgo de reingreso en pacientes con covid-19 en un hospital comarcal español entre febrero de 2020 y marzo de 2021.métodos: se realizó un estudio sobre una cohorte que describía las características de los pacientes adultos reingresados en los treinta días siguientes al alta tras un ingreso por la covid-19. Se analizaron los factores de riesgo asociados a reingreso mediante un modelo de regresión de logística binaria.resultados: de los 967 pacientes dados de alta de un primer ingreso por la covid-19, 70 (7,2%) reingresaron en los treinta días siguientes. De ellos, el 34,3% presentó progresión de la neumonía, el 15,7% deterioro funcional y el 12,9% otras infecciones. La letalidad en el reingreso fue del 28,6%. No hubo diferencias estadísticamente significativas en la incidencia acumulada de reingreso entre los tres periodos (p=0,241). Los factores asociados de forma independiente con el reingreso fueron: diabetes mellitus (ora: 1,96; ic 95%:1,07-3,57; p=0,030); insuficiencia renal aguda (ora 2,69; ic del 95%: 1,43-5,07, p=0,002); no ser candidato a cuidados intensivos (ora 7,68, ic 95% 4,28-13,80, p<0,001); y no tener prescritos corticosteroides al alta (ora 2,15, ic 95% 1,04- 4,44; p=0,039).conclusiones: una proporción sustancial de los pacientes ingresados por la covid-19 reingresan, con una elevada letalidad. La diabetes mellitus, la insuficiencia renal aguda, no ser candidato a ingreso en uci y no tener prescritos corticoides al alta se asocian con un mayor riesgo de reingreso.(AU)

Background: readmission for covid-19 is associated with high mortality, saturation of health services, and high costs. This study aimed to assess the incidence and risk factors of readmissions in covid-19 patients in a regional hospital of spain from february 2020 to march 2021.methods: a retrospective cohort study describing the characteristics of adult patients readmitted within thirty days of discharge after being infected with sars-cov-2 was carried out. Readmission associated risk factors were analysed using a binary logistic regression model.results: of the 967 patients who survived their first covid-19 admission, 70 (7.2%) were readmitted within thirty days. Of these, 34.3% presented pneumonia progression, 15.7% functional deterioration, and 12.9% other infections. The mortality rate during read-mission was 28.6%. There were no statistically significant differences in the cumulative incidence of readmissions between the epide-mic periods (p=0.241). Factors independently associated with readmission were: diabetes mellitus (aor 1.96, 95%ci 1.07-3.57, p=0.030); acute kidney failure (aor 2.69, 95%ci 1.43-5.07, p=0.002); not being a candidate for intensive care (aor 7.68, 95% ci 4.28-13.80, p<0.001); and not being prescribed corticosteroids at discharge (aor 2.15, 95% ci 1.04-4.44; p=0.039).conclusions: a substantial proportion of patients admitted due to covid-19 are readmitted, and they carry a high letality. Dia-betes mellitus, acute kidney failure, not being a candidate for icu admission, and not being prescribed corticosteroids on discharge are independently associated with an increased risk of readmission.(AU)

UAV-Based Digital Terrain Model Generation under Leaf-Off Conditions to Support Teak Plantations Inventories in Tropical Dry Forests. A Case of the Coastal Region of Ecuador.

Remote sensing is revolutionizing the way in which forests studies are conducted, and recent technological advances, such as Structure from Motion (SfM) photogrammetry from Unmanned Aerial Vehicle (UAV), are providing more efficient methods to assist in REDD (Reducing Emissions from Deforestation and forest Degradation) monitoring and forest sustainable management. The aim of this work was to develop and test a methodology based on SfM from UAV to generate high quality Digital Terrain Models (DTMs) on teak plantations (Tectona grandis Linn. F.) situated in the Coastal Region of Ecuador (dry tropical forest). UAV overlapping images were collected using a DJI Phantom 4 Advanced© quadcopter during the dry season (leaf-off phenological stage) over 58 teak square plots of 36 m side belonging to three different plantations located in the province of Guayas (Ecuador). A workflow consisting of SfM absolute image alignment based on field surveyed ground control points, very dense point cloud generation, ground points filtering and outlier removal, and DTM interpolation from labeled ground points, was accomplished. A very accurate Terrestrial Laser Scanning (TLS) derived ground points were employed as ground reference to estimate the UAV-SfM DTM vertical error in each reference plot. The plot-level obtained DTMs presented low vertical bias and random error (-3.1 cm and 11.9 cm on average, respectively), showing statistically significant greater error in those reference plots with basal area and estimated vegetation coverage above 15 m2/ha and 60%, respectively. To the best of the authors' knowledge, this is the first study aimed at monitoring of teak plantations located in dry tropical forests from UAV images. It provides valuable information that recommends carrying out the UAV image capture during the leaf-off season to obtain UAV-SfM derived DTMs suitable to serve as ground reference in supporting teak plantations inventories.

Modulating Protein-Protein Interactions with Visible-Light-Responsive Peptide Backbone Photoswitches.

Life relies on a myriad of carefully orchestrated processes, in which proteins and their direct interplay ultimately determine cellular function and disease. Modulation of this complex crosstalk has recently attracted attention, even as a novel therapeutic strategy. Herein, we describe the synthesis and characterization of two visible-light-responsive peptide backbone photoswitches based on azobenzene derivatives, to exert optical control over protein-protein interactions (PPI). The novel peptidomimetics undergo fast and reversible isomerization with low photochemical fatigue under alternatively blue-/green-light irradiation cycles. Both bind in the nanomolar range to the protein of interest. Importantly, the best peptidomimetic displays a clear difference between isomers in its protein-binding capacity and, in turn, in its potential to inhibit enzymatic activity through PPI disruption. In addition, crystal structure determination, docking and molecular dynamics calculations allow a molecular interpretation and open up new avenues in the design and synthesis of future photoswitchable PPI modulators.