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OBJECTIVE: The aim of the present study was to identify the risk factors for severe maternal outcomes (SMO) of women with suspected or confirmed infections using the data from the WHO global maternal sepsis study (GLOSS). METHODS: We conducted a secondary analysis of the GLOSS cohort study, which involved pregnant or recently pregnant women with suspected or confirmed infection around 713 health facilities in 52 low- and middle-income countries, and high-income countries. A nested case-control study was conducted within the GLOSS cohort. Cases included infection-related maternal deaths or near misses, while controls represented non-SMO. Logistic mixed models, adjusting for country variations, were employed. Using univariate analysis, we calculated crude odds ratios (crude OR) and their 95% confidence interval (95% CI). Variables were identified with less than 16% missing data, and P values less than 0.20 were used to perform the multivariate logistic model multilevel. RESULTS: A total of 2558 women were included in the analysis. As for the cases, 134 patients were found in the pregnant in labor or not in labor group and 246 patients in the postpartum or postabortion group. Pregnant women with prior childbirths faced a 64% increased risk of SMO. Ante- or intrapartum hemorrhage increased risk by 4.45 times, while trauma during pregnancy increased it by 4.81 times. Pre-existing medical conditions elevated risk five-fold, while hospital-acquired infections increased it by 53%. Secondary infections raised risk six-fold. Postpartum/postabortion women with prior childbirths had a 45% elevated risk, and pre-existing medical conditions raised it by 2.84 times. Hospital-acquired infections increased risk by 93%. Postpartum hemorrhage increased risk approximately five-fold, while abortion-related bleeding doubled it. Previous cesarean, abortion, and stillbirth also elevated risk. CONCLUSIONS: Key risk factors for SMO include prior childbirths, hemorrhage, trauma, pre-existing conditions, and hospital-acquired or secondary infections. Implementing effective alert systems and targeted interventions is essential to mitigate these risks and improve maternal health outcomes, especially in resource-limited settings.

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BACKGROUND: The COVID-19 pandemic has highlighted a correlation between cardiac complications and elevated cardiac biomarkers, which are linked to poorer clinical outcomes. OBJECTIVE: This study aims to determine the clinical impact of cardiac biomarkers in COVID-19 patients in Latin America. SUBJECTS AND METHODS: The CARDIO COVID 19-20 Registry is a multicenter observational study across 44 hospitals in Latin America and the Caribbean. It included hospitalized COVID-19 patients (n = 476) who underwent troponin, natriuretic peptide, and D-dimer tests. Patients were grouped based on the number of positive biomarkers. RESULTS: Among the 476 patients tested, 139 had one positive biomarker (Group C), 190 had two (Group B), 118 had three (Group A), and 29 had none (Group D). A directly proportional relationship was observed between the number of positive biomarkers and the incidence of decompensated heart failure. Similarly, there was a proportional relationship between the number of positive biomarkers and increased mortality. In Group B, patients with elevated troponin and natriuretic peptide and those with elevated troponin and D-dimer had 1.4 and 1.5 times higher mortality, respectively, than those with elevated natriuretic peptide and D-dimer. CONCLUSIONS: In Latin American COVID-19 patients, a higher number of positive cardiac biomarkers is associated with increased cardiovascular complications and mortality. These findings suggest that cardiac biomarkers should be utilized to guide acute-phase treatment strategies.

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Multiple tissue perfusion markers are described to guide therapy in critically ill pediatric patients undergoing congenital heart surgery. Given the advantages of capillary refill time, our goal is to determine its predictive capacity for mortality and postoperative extracorporeal oxygenation requirements in congenital heart surgery and compare it to serum lactate. We conducted a prospective cohort observational study in a single high-complexity university hospital. Serum lactate and capillary refill time were measured at five predetermined time points: preoperative, immediate postoperative, 6, 12, and 24 h after the surgery. Prolonged immediate postoperative, 6 h, and 12 h capillary refill time measurements turned out to be independent risk factors for both outcomes. The capillary refill time area under the curve ranged between 0.70 and 0.80, while the serum lactate resulted between 0.79 and 0.92 for both outcomes. Both tissue perfusion markers resulted in mortality and extracorporeal oxygenation requirement predictors. Given the advantages of capillary refill time over serum lactate, a monitoring strategy including these two perfusion markers should be considered for congenital heart surgeries.

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BACKGROUND: Reported risk of bleeding complications after central catheter access in patients with thrombocytopenia is highly variable. Current guidelines recommend routine prophylactic platelet (PLT) transfusion before central venous catheter placement in patients with severe thrombocytopenia. Nevertheless, the strength of such recommendations is weak and supported by observational studies including few patients with very low PLT counts (<20 × 109 /L). This study aims to assess the risk of bleeding complications related to using or not using prophylactic PLT transfusion before ultrasound-guided central venous access in patients with very low PLT counts. METHODS: This was a retrospective cohort study of patients with very low PLT counts (<20 × 109 /L) subjected to ultrasound-guided central venous catheterization between January 2011 and November 2019 in a university hospital. Bleeding complications were graded according to the Common Terminology Criteria for Adverse Events. A multivariate logistic regression was conducted to assess the risk of major and minor bleeding complications comparing patients who did or did not receive prophylactic PLT transfusion for the procedure. Multiple imputation by chained equations was used to handle missing data. A two-tailed p < 0.05 was considered statistically significant. RESULTS: Among 221 patients with very low PLT counts, 72 received prophylactic PLT transfusions while 149 did not. Baseline characteristics were similar between transfused and nontransfused patients. No major bleeding events were identified, while minor bleeding events were recognized in 35.7% of patients. Multivariate logistic regression analysis showed no significant differences in bleeding complications between patients who received prophylactic PLT transfusions and those who did not (odds ratio 0.83, 95% confidence interval 0.45-1.55, p = 0.567). Additional complete case and sensitivity analyses yielded results similar to those of the main analysis. CONCLUSIONS: In this single-center retrospective cohort study of ultrasound-guided central venous access in patients with very low PLT counts, no major bleeding was identified, and prophylactic PLT transfusions did not significantly decrease minor bleeding events.

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BACKGROUND: Thrombocytopenia is a marker of severity in dengue, and its resolution predicts clinical improvement. The objective was to evaluate mean platelet volume (MPV) trajectories as a predictor of platelet count (PC) recovery in dengue patients. METHODS: An observational, longitudinal and analytical study was conducted at Fundación Valle del Lili (Cali, Colombia). Patients diagnosed with dengue during 2016-2020 were included. The association between PC and the covariates was evaluated using simple linear, quadratic and non-parametric spline smoothing regression models. A longitudinal linear mixed model was adjusted and then validated for PC measurements. RESULTS: A total of 71 patients were included. The median age was 27 y, 38.5% were women and half had dengue with warning signs. A statistically significant PC decrease was observed when MPV was 13.87 fL and 4.46 d from the onset of symptoms, while PC displayed a significant constant increase with neutrophils count. Then, PC recovery was achieved with an MPV of 13.58 fL, 4.5 d from the onset of symptoms and a minimum neutrophils count of 150 µL. CONCLUSION: MPV may be a predictor of PC recovery in dengue patients. PC recovery is expected when a patient has an MPV of 13.58 fL, an onset time of 4.5 d and a neutrophils count of 150 µL.

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PURPOSE: To describe our experience upon developing and implementing a hospital-based cancer registry (HBCR) in a quaternary-level of care private non-profit academic medical center in Cali, Colombia. METHODS: HBCRs capture, in a given institution, every single patient with a confirmed malignancy. In this study, all cases evaluated between 2014 and 2018 were included in the HBCR. In compliance with the International Agency for Research on Cancer recommendations, cases were classified as analytic or non-analytic. Data derived from an exhaustive selection of patients was stored in a computing platform owned by the institution, meeting the 2016 Facility Oncology Registry Data Standards recommendations. Quality control was performed by evaluating comparability, timeliness, validity, and completeness. RESULTS: A total of 24,405 new cases were registered between 2014 and 2018, from which 4253 (17.4%) died. Among all cases, based on the anatomic location, most common malignancies were breast (n = 1554), thyroid (n = 1346), hematolymphoid (n = 1251), prostatic (n = 805), and colorectal (n = 624). The behavior of the new cases was consistent with an incremental trend. CONCLUSION: Upon implementing the HBCR, major challenges were identified (i.e., a precise definition of cases, the development of processes for capturing new cases, a standardized data collection strategy, and carrying-out an appropriate patient follow-up). Based on our experience, the success of an HBCR largely relies on the interest from the institution, the engagement of stakeholders and financial support, that is, it depends on the adequate access over time to funding, technological, and staffing resources.

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Abstract Introduction: The laryngeal mask airway (LMA) is a device for airway management that is easy to insert, safe, and efficient. However, there are associated complications that can lead to important patient morbidity and mortality, as ventilator failure, can occur with reported incidence between 0.2% and 4.7%. Male gender, advanced age, obesity, short thyromental distance, and poor dentition are known related factors to LMA failure. Objective: Determine the incidence of ProSeal™ LMA ventilatory failure and identify clinical related conditions. Materials and methods: Observational analytic study a group of adult patients with ProSealTM laryngeal mask for airway management. Statistical analysis was performed using STATA 12.1 software. Bivariate analysis was done using Fisher's exact test or Chi2 as it corresponded with statistical significance defined as P value <0.05. Skewed logistic regression for multivariate analysis was performed for estimating adjusted odd ratios (ORs). Results: Incidence of ProSealTM LMA ventilatory failure was 5.2%. In the group of patients that presented failure, 69 were older than 75 years (OR=1.06, 95% confidence interval [CI] 1.03-1.09, P < 0.001), 6 (23.1%) thyromental distance less than 6 x0200A;cm (OR = 2.48, 95% CI 0.93-6.62, P = 0.069), 5 (19.2%), inadequate anesthetic depth and/or laryngospasm (OR=5.78, 95% CI 2.23-14.96, P< 0.001) and 9 (34.6%) vintraoperative use of neuromuscular blockers (NMB) (OR=2.35, 95% CI 1.06-5.21, P=0.035). Conclusion: In patients with LMA management, the age, intraoperative use of NMB and inadequate anesthetic depth and/ or laryngospasm are clinical related conditions for ProSealTMLMA ventilatory failure.

Resumen Introducción: La mascarilla laríngea de vía aérea (LMA) es un dispositivo para el manejo de la vía aérea fácil de insertar, seguro y eficiente. Sin embargo, hay complicaciones asociadas que pueden llevar a morbilidad y mortalidad del paciente, como la falla del respirador, con una incidencia reportada de entre el 0.2% y el 4.7%. El sexo masculino, la edad avanzada, la obesidad, la corta distancia tiromentoniana y la mala dentición son factores conocidos relacionados con el fracaso de la LMA. Objetivo: Determinar la incidencia de la insuficiencia respiratoria con ProSeal™ LMA e identificar las condiciones clínicas relacionadas. Materiales y métodos: Estudio analítico observacional de un grupo de pacientes adultos con uso de ProSeal™ Laryngeal Mask para el manejo de las vías respiratorias. El análisis estadístico se realizó utilizando el software STATA 12.1©. El análisis bivariado se realizó utilizando la prueba exacta de Fisher o Chi2, ya que correspondía a la significación estadística definida como valor de p < 0.05. Se realizó una regresión logística sesgada para el análisis multivariado, con el fin de estimar las proporciones impares ajustadas (OR). Resultados: La incidencia de fallo ventilatorio de ProSeal™ LMA fue del 5.2%. En el grupo de pacientes que presentaron fracaso, 69 eran mayores de 75 años (OR = 1.06; IC del 95%: 1.03 a 1.09; p < 0.001), 6 pacientes (23.1%) tenían distancia tiromentoniana inferior a 6 cm (OR = 2.48; IC del 95%: 0.93 a 6.62, p = 0.069), 5 (19.2%) presentaron profundidad inadecuada del anestésico y/o laringoespasmo (OR = 5.78; IC del 95%: 2.23 a 14.96; p < 0.001) y en 9 (34.6%) hubo uso intraoperatorio de NMB (OR = 2.35; IC del 95%: 1.06 a 5.21; p = 0.035). Conclusión: En pacientes con manejo de la LMA, la edad, el uso intraoperatorio de la NMB y la profundidad anestésica inadecuada y/o laringoespasmo son condiciones clínicas relacionadas con la insuficiencia respiratoria de la LMA ProSeal™.

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This article describes a methodology that allows an approach to alternative right-censored probabilistic models for the analysis of survival, different to those usually studied (exponential, gamma, Weibull, and log-normal distribution) since it is possible that the data do not always fit with sufficient precision due to existing distributions. The methodology used allows for greater flexibility when modeling extreme observations, generally located in the right tail of data distribution, which admits that some events still have the probability of occurring, which is not the case with traditional models and the Kaplan-Meier estimator, which estimates for the longest times, survival probabilities approximately equal to zero. To show the usefulness of the methodological proposal, we considered an application with real data that relates survival times of patients with colon cancer (CC).

En el presente artículo se describe una metodología que permite tener un acercamiento a modelos probabilísticos alternativos para el análisis de supervivencia, con censura por la derecha, distintos a los que usualmente se estudian (distribución: exponencial, gamma, Weibull y log-normal), ya que es posible que los datos no se ajusten siempre con suficiente precisión por las distribuciones existentes. La metodología utilizada permite mayor flexibilidad de modelar observaciones extremas, ubicadas generalmente en la cola derecha de la distribución de los datos, lo cual admite que algunos eventos aún tengan la probabilidad de ocurrir, lo que no sucede con los modelos tradicionales y el estimador de Kaplan-Meier, el cual estima para los tiempos más prolongados, probabilidades de supervivencia aproximadamente iguales a cero. Para mostrar la utilidad de la propuesta metodológica, se consideró una aplicación con datos reales que relaciona tiempos de supervivencia de pacientes con cáncer de colon.

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RESUMEN En el presente artículo se describe una metodología que permite tener un acercamiento a modelos probabilísticos alternativos para el análisis de supervivencia, con censura por la derecha, distintos a los que usualmente se estudian (distribución: exponencial, gamma, Weibull y log-normal), ya que es posible que los datos no se ajusten siempre con suficiente precisión por las distribuciones existentes. La metodología utilizada permite mayor flexibilidad de modelar observaciones extremas, ubicadas generalmente en la cola derecha de la distribución de los datos, lo cual admite que algunos eventos aún tengan la probabilidad de ocurrir, lo que no sucede con los modelos tradicionales y el estimador de Kaplan-Meier, el cual estima para los tiempos más prolongados, probabilidades de supervivencia aproximadamente iguales a cero. Para mostrar la utilidad de la propuesta metodológica, se consideró una aplicación con datos reales que relaciona tiempos de supervivencia de pacientes con cáncer de colon.

ABSTRACT This article describes a methodology that allows an approach to alternative right-censored probabilistic models for the analysis of survival, different to those usually studied (exponential, gamma, Weibull, and log-normal distribution) since it is possible that the data do not always fit with sufficient precision due to existing distributions. The methodology used allows for greater flexibility when modeling extreme observations, generally located in the right tail of data distribution, which admits that some events still have the probability of occurring, which is not the case with traditional models and the Kaplan-Meier estimator, which estimates for the longest times, survival probabilities approximately equal to zero. To show the usefulness of the methodological proposal, we considered an application with real data that relates survival times of patients with colon cancer (CC).

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