Multimodal non-invasive monitoring to apply an open lung approach strategy in morbidly obese patients during bariatric surgery.

To evaluate the use of non-invasive variables for monitoring an open-lung approach (OLA) strategy in bariatric surgery. Twelve morbidly obese patients undergoing bariatric surgery received a baseline protective ventilation with 8 cmH2O of positive-end expiratory pressure (PEEP). Then, the OLA strategy was applied consisting in lung recruitment followed by a decremental PEEP trial, from 20 to 8 cmH2O, in steps of 2 cmH2O to find the lung's closing pressure. Baseline ventilation was then resumed setting open lung PEEP (OL-PEEP) at 2 cmH2O above this pressure. The multimodal non-invasive variables used for monitoring OLA consisted in pulse oximetry (SpO2), respiratory compliance (Crs), end-expiratory lung volume measured by a capnodynamic method (EELVCO2), and esophageal manometry. OL-PEEP was detected at 15.9 ± 1.7 cmH2O corresponding to a positive end-expiratory transpulmonary pressure (PL,ee) of 0.9 ± 1.1 cmH2O. ROC analysis showed that SpO2 was more accurate (AUC 0.92, IC95% 0.87-0.97) than Crs (AUC 0.76, IC95% 0.87-0.97) and EELVCO2 (AUC 0.73, IC95% 0.64-0.82) to detect the lung's closing pressure according to the change of PL,ee from positive to negative values. Compared to baseline ventilation with 8 cmH2O of PEEP, OLA increased EELVCO2 (1309 ± 517 vs. 2177 ± 679 mL) and decreased driving pressure (18.3 ± 2.2 vs. 10.1 ± 1.7 cmH2O), estimated shunt (17.7 ± 3.4 vs. 4.2 ± 1.4%), lung strain (0.39 ± 0.07 vs. 0.22 ± 0.06) and lung elastance (28.4 ± 5.8 vs. 15.3 ± 4.3 cmH2O/L), respectively; all p < 0.0001. The OLA strategy can be monitored using noninvasive variables during bariatric surgery. This strategy decreased lung strain, elastance and driving pressure compared with standard protective ventilatory settings.Clinical trial number NTC03694665.

Estudio de detección del riesgo en diabetes en Atención Primaria según cuestionario FINDRISC en el Municipio de Gral. Pueyrredón (Estudio DR. DIAP) / Diabetes risk detection study in Primary Care according to FINDRISC questionnaire in the Municipality of Gral. Pueyrredón (DR. DIAP STUDY)

Objetivos: conocer la magnitud del riesgo de padecer diabetes mellitus 2 (DM2) en la población del Municipio de Gral. Pueyrredón que concurre a los Centros Asistenciales de Atención Primaria. Materiales y métodos: estudio observacional para determinar el riesgo de padecer DM2 mediante una entrevista donde se indagaron sobre las ocho preguntas del cuestionario FINDRISC. Resultados: la muestra del estudio estuvo constituida por 2.784 pacientes, el 54% conformada por mujeres. La edad fue agrupada en menos de 45 años el 47,5% (1.323), de 45 a 54 años el 20,9% (582), de 55 a 64 años el 18,3% (510) y más de 64 años el 13,2% (368). El 20% de la población presentó una puntuación de la escala de riesgo del cuestionario FINDRISC igual o mayor a 15, alto riesgo a muy alto riesgo de padecer diabetes en los próximos 10 años. El 43,38% presentó un IMC>30 y el 25,97% declaró recibir medicación para la hipertensión arterial. El 55,37% refería actividad física baja, el 50,79% no ingería verduras y frutas en forma diaria y el 17,98% declaró cifras de glucemias elevadas. Las variables que con mayor frecuencia se asociaron a una escala de riesgo >15 fueron: sedentarismo (80,9%), cintura >102/88 (65,7/77,2%), antecedente de hiperglucemia (64,0%), alimentación no saludable (61,9%) e IMC>30 (61,8%). El riesgo >15 según IMC fue: IMC 30 el 45,4%. Conclusiones: el 20% de la población encuestada está en alto riesgo de padecer diabetes. Una de cada dos o tres personas sin diabetes que asisten a un centro de Atención Primaria tiene un FINDRISC >15. Esta escala de riesgo es una herramienta simple, económica, de rápida confección, no invasiva y segura para detectar individuos con alto riesgo de padecer diabetes tipo 2. También puede usarse para identificar DM2 no detectada y factores de riesgo de enfermedad cardiovascular

Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations.

The aim of the present work was to design a methodology based on video processing to obtain indicators of bacterial population motility that allow the quantitative and qualitative analysis and comparison of the chemotactic phenomenon with different attractants in the agarose-in plug bridge method. Video image sequences were processed applying Shannon's entropy to the intensity time series of each pixel, which conducted to a final pseudo colored image resembling a map of the dynamic bacterial clusters. Processed images could discriminate perfectly between positive and negative attractant responses at different periods of time from the beginning of the assay. An index of spatial and temporal motility was proposed to quantify the bacterial response. With this index, this video processing method allowed obtaining quantitative information of the dynamic changes in space and time from a traditional qualitative assay. We conclude that this computational technique, applied to the traditional agarose-in plug assay, has demonstrated good sensitivity for identifying chemotactic regions with a broad range of motility.

The effects of lung recruitment on the Phase III slope of volumetric capnography in morbidly obese patients.

BACKGROUND: In this study, we analyzed the effect of the alveolar recruitment strategy (ARS) and positive end-expiratory pressure (PEEP) titration on Phase III slope (S(III)) of volumetric capnography (VC) in morbidly obese patients. METHODS: Eleven anesthetized morbidly obese patients were studied. Lungs were ventilated with tidal volumes of 10 mL x kg(-1), respiratory rates of 12-14 bpm, inspiration:expiration ratio of 1:2, and FIO2 of 0.4. ARS was performed by increasing PEEP in steps of five from 0 end-expiratory pressure to 15 cm H2O. During lung recruitment, plateau pressure was limited to 50 cm H2O whereas tidal volume was increased to the ventilator's maximum value of 1400 mL, and PEEP was increased to 20 cm H2O for 2 min. Thereafter, PEEP was reduced in steps of 5 cm H2O, from 15 to 0. VC, arterial blood gases, and lung mechanics data were determined for each PEEP step. RESULTS: S(III) decreased from 0.014 +/- 0.006 to 0.005 +/- 0.005 mm Hg/mL when 0 end-expiratory pressure was compared against 15 cm H2O of PEEP after ARS (15ARS, P < 0.05). This decrement in S(III) was accompanied by increases in PaO2 (27%, P < 0.002) and compliance (32%, P < 0.001), whereas PaCO2 decreased by 8% (P < 0.038) when comparing values before and after ARS. A good prediction of the lung recruitment effect by S(III) was derived from the receiver operating characteristic curve analysis (area under the curve of 0.81, sensitivity of 0.75, and specificity of 0.74; P < 0.001). CONCLUSION: The S(III) in VC was useful to detect the optimal level of PEEP after lung recruitment in anesthetized morbidly obese patients.