4 research outputs found

    El control de la diabetes mellitus y sus complicaciones en Medellín, Colombia, 2001-2003 Controlling diabetes mellitus and its complications in Medellín, Colombia, 2001-2003

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    OBJETIVOS: Identificar las principales características sociodemográficas, clínicas y conductuales de los pacientes que participaban en los programas de atención al diabético en Medellín, Colombia, y evaluar el cumplimiento de las metas de control metabólico y de los estándares de control en el diabético. MÉTODOS: Se realizó un estudio descriptivo transversal mediante el análisis de las historias clínicas de todos los pacientes que asistían a los programas de atención al diabético desde al menos 6 meses en nueve instituciones de salud entre enero de 2001 y diciembre de 2003. Se tomaron datos sociodemográficos (edad y sexo), clínicos (tiempo de evolución de la enfermedad, tipo y tratamiento de la diabetes y enfermedades concurrentes y su tratamiento), sobre los hábitos de vida (práctica de ejercicios físicos, hábito de fumar y consumo de azúcar y grasas) y sobre las complicaciones crónicas y los resultados de las pruebas de laboratorio del último año. Todos los datos confusos o faltantes se registraron como ausentes. RESULTADOS: De las 3 583 historias clínicas evaluadas, se logró conocer el tipo de diabetes que padecían 3 554 pacientes, de ellos 95,1% correspondieron a pacientes con diabetes tipo 2. En general, 56,9% (intervalo de confianza de 95% [IC95%]: 55,2 a 58,6%) de los pacientes realizaban ejercicios periódicos; 15,1% (IC95%: 13,9 a 16,3%) aún fumaba en el momento del corte, 17,7% (IC95%: 16,4 a 19,0%) había dejado de fumar y 67,2% (IC95%: 65,6 a 68,8%) nunca había fumado. En total, 21,0% (IC95%: 19,6 a 22,5%) de los pacientes consumía azúcar regularmente, mientras 24,8% (IC95%: 23,3 a 26,3%) consumía grasas y solo 19,5% (IC95%: 17,8 a 21,3%) realizaba automonitoreo de la glucemia con una frecuencia semanal o mayor. La prevalencia general de hipertensión arterial fue de 68,8% y de 98,2% de dislipidemia en los diabéticos tipo 2. El promedio general del índice de masa corporal fue de 28,0 kg/m² (IC95%: 27,8 a 28,2). El promedio del número de medicamentos utilizados fue de 1,3 para el tratamiento de la diabetes tipo 2, de 1,9 para la hipertensión arterial y de 0,6 para la dislipidemia. No se encontraron los datos de dislipidemia de colesterol de lipoproteínas de baja densidad (LDL) en 44,8% de las historias clínicas y de colesterol de lipoproteínas de alta densidad (HDL) en 16,4%. Las complicaciones oculares fueron las más frecuentes (31,8%; IC95%: 30,1 a 33,5%), seguidas de las afecciones renales (25,9%; IC95%: 24,4 a 27,5%) y las cardiovasculares (22,5%; IC95%: 21,1 a 23,8%). El cumplimiento de las metas de control del colesterol de LDL, los triglicéridos y el colesterol de HDL fue insuficiente (14,2%, 36,9% y 47,4%, respectivamente). CONCLUSIONES: En la población estudiada, las tres complicaciones crónicas que más influyen en el pronóstico y el costo de salud en los diabéticos fueron la nefropatía, la retinopatía y la dislipidemia. El gran subregistro de datos encontrado en las historias clínicas se puede reducir si se toman medidas para estandarizar las historias clínicas y se realizan evaluaciones periódicas de la calidad de las mismas.OBJECTIVES: To identify the principal sociodemographic, clinical, and behavioral characteristics of patients participating in diabetic care programs in the city of Medellín, Colombia, and to evaluate progress toward the goal of metabolic control and diabetic care standards. METHODS: A cross-sectional, descriptive study was done, analyzing the clinical records of patients who had been participating for at least 6 months in the diabetic care programs of nine health care centers in Medellín. The study period ran from January 2001 to December 2003. The following data were collected: sociodemographic (age and sex), clinical (time since disease onset, diabetes type and treatment, and concurrent illnesses and their treatment), lifestyle habits (exercise routine, smoking, and sugar and fat consumption), chronic complications, and laboratory test results from the prior year. Questionable or missing data were categorized as unavailable. RESULTS: Of the 3 583 clinical histories evaluated, we were able to confirm the form of diabetes for 3 554 patients. Of those 3 554, 95.1% had type 2 diabetes. Overall, 56.9% (95% confidence interval (95% CI): 55.2% to 58.6%) of the patients exercised regularly, 15.1% (95% CI: 13.9% to 16.3%) were current smokers, 17.7% (95% CI: 16.4% to 19.0%) were former smokers, and 67.2% (95% CI: 65.6% to 68.8%) had never smoked. In all, 21.0% (95% CI: 19.6% to 22.5%) of the patients consumed sugar regularly, while 24.8% (95% CI: 23.3% to 26.3%) consumed fats and only 19.5% (95% CI: 17.8% to 21.3%) were self-monitoring their glucose levels at least weekly. Among the type 2 diabetics, 68.8% had high blood pressure, and 98.2% had dyslipidemia. The average body mass index was 28.0 kg/m² (95% CI: 27.8 to 28.2). The average number of medications that the patients were taking to treat type 2 diabetes was 1.3; to treat high blood pressure, 1.9; and to treat dyslipidemia, 0.6. There were no data on low-density lipoprotein (LDL) cholesterol in 44.8% of the clinical records, and no data on high-density lipoprotein (HDL) cholesterol in 16.4% of the records. Among the complications, the most common were ocular ones (31.8%; 95% CI: 30.1% to 33.5%), followed by renal ones (25.9%; 95% CI: 24.4% to 27.5%), and cardiovascular ones (22.5%; 95% CI: 21.1% to 23.8%). Cholesterol control achievement was inadequate for LDL (reached by only 14.2% of the patients), for triglycerides (36.9% of patients), and HDL (47.4% of patients). CONCLUSIONS: Among the study population in Medellín, the three chronic complications with the greatest impact on prognosis and health care costs of the diabetics were nephropathy, retinopathy, and dyslipidemia. The noticeable amount of unavailable data in the clinical records could be greatly reduced by standardizing the clinical record forms and by periodic quality checks of the records themselves

    Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

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    © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

    Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

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    © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research
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