ABSTRACT
INTRODUCTION: Male breast carcinoma (MBC) is an uncommon disease, accounting for less than 0.5% of cancer diagnoses in men. Data on the prevalence thereof in Argentina are unknown. PRIMARY OBJECTIVE: To estimate the prevalence of a men's health history associated with MBC as well as the anthropometric and clinical characteristics of the study population. METHODS: This cross-sectional study included all men according to original biological sex over 18 years of age with a history of breast cancer who sought care at the Hospital Italiano de Buenos Aires [Italian Hospital of Buenos Aires] between January 2010 and December 2018. RESULTS: We included 57 men with breast cancer. Their median age was 71 years. Of them, 53.06% had obesity and 24.53% had diabetes. With respect to men's health history, 5.56% (2/36) had infertility, 29.17% (14/48) had gynaecomastia and 60.71% (17/28) had sexual dysfunction. Some 63% (7/11) had androgen deficiency based on laboratory diagnosis; of them, 45.45% (5/11) had high gonadotropins. CONCLUSION: We identified similarities with the literature as to the prevalence of obesity, diabetes and infertility in patients with MBC. The prevalence of testosterone deficiency was higher than reported for men of the same age. Many of these factors support the need to examine the role of endogenous hormones. Further research is required to help physicians care for and counsel men at higher risk of this disease.
Subject(s)
Breast Neoplasms, Male , Infertility , Humans , Male , Adolescent , Adult , Aged , Female , Breast Neoplasms, Male/epidemiology , Men's Health , Prevalence , Cross-Sectional Studies , Obesity/epidemiologyABSTRACT
Age expectancy has significantly increased over the last 50 years, as well as some age-related health conditions such as hip fractures. The development of hip fracture registries has shown enhanced patient outcomes through quality improvement strategies. The development of the Argentinian Hip Fracture Registry is going in the same direction. INTRODUCTION: Age expectancy has increased worldwide in the last 50 years, with the population over 64 growing from 4.9 to 9.1%. As fractures are an important problem in this age group, specific approaches such as hip fracture registries (HFR) are needed. Our aim is to communicate the Argentinian HFR (AHFR) development resulting from an alliance between Fundación Trauma, Fundación Navarro Viola, and the Argentinian Network of Hip Fracture in the elderly. METHODS: Between October 2020 and May 2021, an iterative consensus process involving 5 specialty-focused meetings and 8 general meetings with more than 20 specialists was conducted. This process comprised inclusion criteria definitions, dataset proposals, website deployment with data protection and user validation, the definition of hospital-adjusted registry levels, implementation planning, and sustainability strategies. RESULTS: By June 2021, we were able to (1) outline data fields, including epidemiological, clinical, and functional dimensions for the pre-admission, hospitalization, discharge, and follow-up stages; (2) define three levels: basic (53 fields), intermediate (85), and advanced (99); (3) identify 21 benchmarking indicators; and (4) make a correlation scheme among fracture classifications. Simultaneously, we launched a fundraising campaign to implement the AHFR in 30 centers, having completed 18. CONCLUSION: AHFR development was based on four pillars: (1) representativeness and support, (2) solid definitions from onset, (3) committed teams, and (4) stable funding. This tool may contribute to the design of evidence-based health policies to improve patient outcomes, and we hope this experience will help other LMICs to develop their own tailored-to-their-needs registries.
Subject(s)
Hip Fractures , Aged , Benchmarking , Hip Fractures/epidemiology , Hospitalization , Humans , Middle Aged , Quality Improvement , RegistriesABSTRACT
BACKGROUND AND GOAL OF STUDY: The scope of health in the Sustainable Development Goals is much broader than the Millennium Development Goals, spanning functions such as health-system access and quality of care. Hospital readmission rate and ED-visits within 30 days from discharge are considered low-cost quality indicators. This work assesses an indicator of quality of care in a tertiary referral hospital in Argentina, using data available from clinical records. PURPOSE: To estimate the rate of ED-visits and the hospital readmission rate (HRR) after a first hospitalization (First-H), and to identify associated factors. METHODS: This retrospective cohort included patients who had a First-H in Hospital Italiano de Buenos Aires between 2014-2015. Follow-up occurred from discharge until ED-visit, readmission, death, disaffiliation from health insurance, or 13 months. We present HRR at 30 days and ED-visits rate at 72 h, using the Cox proportional-hazards regression model to explore associated factors, and reporting adjusted hazard ratios (HR) with their respective 95 %CI. RESULTS: The study comprised 10,598 hospitalizations (median age was 68 years). Of these, 5966 had at least one consultation to the ED during follow up, resulting in a 24 h rate of consultations to ED of 1.51 % (95 %CI 1.29-1.72); at 48 h 3.18 % (95 %CI 2.86-3.54); at 72 h 4.71 % (95 %CI 4.32-5.13). In multivariable models, factors associated for 72 h ED-visits were: age (aHR 1.06), male (aHR 1.14), Charlson Comorbidity Index (aHR 1.16), unscheduled hospitalization (aHR 1.39), prior consultation with the ED (aHR 1.08) and long hospital stay (aHR 1.39). Meanwhile, 2345 patients had at least one hospital readmission (98 % unscheduled), resulting a 24 h rate of 0.5 % (95 %CI 0.42-0.71), at 48 h 0.98 % (95 %CI 0.80-1.18), at 72 h 1.4 % (95 %CI 1.2-1.6); at 30 days 7.7 % (95 %CI 7.2-8.2); at 90 days 13 % (95 %CI 12.4-13.8); and one-year 22.5 % (95 %CI 21.7-23.4). Associated factors for HRR at 30 days were: age (HR 1.16), male (HR 1.09), Charlson comorbidities score (HR 1.27), social service requirement during First-H (HR 1.37), unscheduled First-H (HR 1.16), previous ED-visits (HR 1.03) and length of stay (HR 1.08). CONCLUSION: Priorities efforts to improve must include greater attention to patients' readiness prior discharge, to explore causes of preventable readmissions, and better support for patient self-management.
Subject(s)
Emergency Service, Hospital , Patient Readmission , Aged , Argentina/epidemiology , Humans , Male , Patient Discharge , Retrospective Studies , Risk FactorsABSTRACT
INTRODUCTION: Hip fracture in the elderly is a frequent problem. Chronic treatment with anticoagulants is common in these patients, and may delay surgery. OBJECTIVES: To compare time to surgery, hospital stay, in-hospital and 90 days complications between anticoagulated (A) and non-anticoagulated (NA) groups. METHODS: Retrospective cohort of >64 years-old patients with acute hip fracture. Period June-2014 to December 2019. We estimated crude and adjusted OR (95%CI) for in-hospital complications with logistic regression model. We report the crude and adjusted HR for readmission and 90-day mortality with Cox proportional hazards model. RESULTS: Of the 1058 patients, 123 (11%) were anticoagulated. Time to surgery was 26.4 hours (IIQ 13.9-48) in A and 24 hours (IIQ 2.3-48) in NA, p0.001. Hospital stay was 7 days (IIQ 5-9) in A and 6 days (IIQ 5-10.5) NA, p0,000. In-hospital complications were 17 (14%) in A and 81 (9%) in NA, p0.064. The adjusted OR was 1.53 (95%CI 0.8-2.7) p0.138. For 90-day readmission, the crude HR was 1.51 (95%CI 0.99-2.29) p0.053 and the adjusted HR was 1.31 (95%CI 0.85-2.00) p0,09. For 90-day mortality, the crude HR was 0.80 (95%CI 0.45-1.43) p0.464 and the adjusted HR was 0.70 (95% CI 0.39-1.25) p0.239. DISCUSSION: While we found differences between groups in time to surgery and hospital statistics, their clinical relevance should be reviewed.
Subject(s)
Anticoagulants , Hip Fractures , Aged , Anticoagulants/adverse effects , Hip Fractures/surgery , Humans , Length of Stay , Middle Aged , Proportional Hazards Models , Retrospective Studies , Risk FactorsABSTRACT
BACKGROUND: Pain prevalence during hospital admission is variable, with estimates ranging from 32 to 77%. AIM: To determine pain prevalence during admission to a clinical hospital. MATERIAL AND METHODS: Patients admitted to medical and surgical wards were interrogated about the presence of pain within 48 to 72 hours after admission. Subjective pain was analyzed using a scale ranging from 0 to 10. Data was analyzed separately for medical, surgical, and obstetrical patients. RESULTS: A total of 736 patients aged 18 to 94 years (416 women) were recruited. Pain prevalence at 48 hours after admission was 56% (95% confidence intervals (CI (52.7 to 60.1). Pain prevalence in medical, surgical and obstetric patients was 37% (95% CI 31.4 to 42.1), 70% (95% CI 64.5 to 75.5) and 77% (95% CI 68.6 to 84), respectively. The median pain intensities in medical, surgical, and obstetrical patients were 7 (interquartile range (IQR) 6-8), 7 (IQR 5-8) y 7 (IQR 5-8), respectively. CONCLUSIONS: The prevalence of pain among patients admitted to the hospital is high, especially in obstetric and surgical units.
Subject(s)
Pain/epidemiology , Patient Admission/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Argentina/epidemiology , Comorbidity , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Pain Measurement , Prevalence , Severity of Illness Index , Statistics, Nonparametric , Young AdultABSTRACT
Background: Pain prevalence during hospital admission is variable, with estimates ranging from 32 to 77%. Aim: To determine pain prevalence during admission to a clinical hospital. Material and Methods: Patients admitted to medical and surgical wards were interrogated about the presence of pain within 48 to 72 hours after admission. Subjective pain was analyzed using a scale ranging from 0 to 10. Data was analyzed separately for medical, surgical, and obstetrical patients. Results: A total of 736 patients aged 18 to 94 years (416 women) were recruited. Pain prevalence at 48 hours after admission was 56% (95% confidence intervals (CI (52.7 to 60.1). Pain prevalence in medical, surgical and obstetric patients was 37% (95% CI 31.4 to 42.1), 70% (95% CI 64.5 to 75.5) and 77% (95% CI 68.6 to 84), respectively. The median pain intensities in medical, surgical, and obstetrical patients were 7 (interquartile range (IQR) 6-8), 7 (IQR 5-8) y 7 (IQR 5-8), respectively. Conclusions: The prevalence of pain among patients admitted to the hospital is high, especially in obstetric and surgical units.
Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Pain/epidemiology , Patient Admission/statistics & numerical data , Argentina/epidemiology , Severity of Illness Index , Pain Measurement , Comorbidity , Prevalence , Cross-Sectional Studies , Statistics, NonparametricSubject(s)
Immunoglobulin G/genetics , Immunoglobulin Light-chain Amyloidosis/diagnosis , Immunoglobulin Light-chain Amyloidosis/epidemiology , Adult , Aged , Aged, 80 and over , Argentina/epidemiology , Female , Hospitals , Humans , Immunoglobulin Light-chain Amyloidosis/genetics , Immunoglobulin Light-chain Amyloidosis/physiopathology , Male , Middle Aged , Survival AnalysisABSTRACT
INTRODUCCIÓN: El anciano con fractura de cadera tiene alto riesgo de complicaciones y mortalidad hospitalaria. Las estadías hospitalarias cortas y el alta temprana con problemas clínicos activos pueden llevar a reinternaciones. OBJETIVOS: conocer la tasa de reinternaciones, los motivos y las variables predictoras de las mismas en los sujetos que tuvieron fracturas de cadera. MÉTODOS: Se trabajó una cohorte retrospectiva. Se incluyó a todos los pacientes ingresados en el Registro Institucional de Ancianos con Fractura de Cadera entre julio de 2014 y julio de 2017. Se describió la tasa de reinternación y su IC95%. Se utilizó un modelo de riesgo proporcional de Cox para describir factores de riesgo y el tiempo a la reinternación. RESULTADOS: Se incluyó a 858 pacientes. La mediana de días de internación fue de 6 (rango intercuartil [RIC 5-9]). El 86% (737) de los pacientes era de sexo femenino, con una mediana de edad de 86 años (RIC 81-89). La tasa de reinternación a los 30 días fue de 10% (IC95%: 8,3-12,5) y al año, de 39% (IC95%: 34,8-42,6). La principal causa fue la infección (30%). Los factores asociados fueron: edad (>85 años) Razón de Hazard o Hazard ratio (HR)1,3 (IC95%: 1-1,7; p 0,03), sexo femenino HR 0,5 (IC95%: 0,4-0,7; p<0,01), fragilidad HR 1,4 (IC95%: 1,1-1,8; p<0,01), score de Charlson (≥2) HR 1,6 (IC95%: 1,3-2,1; p<0,01), días de internación (>7 días) HR 1,4 (IC95%: 1,2-1,9; p<0,01). CONCLUSIONES: La reinternación después de una fractura de cadera tiene alta incidencia. El cuidado perioperatorio de los pacientes con fractura de cadera es esencial para reducir las complicaciones.
INTRODUCTION: Elderly patients with hip fracture are at high risk for complications and in-hospital mortality. Short hospital stay and early discharge with still active clinical problems may lead to readmissions. OBJECTIVES: to know the rate of readmissions, the reasons and the predictive variables in patients who had hip fractures. METHODS: A retrospective cohort study was performed, with all patients included in the institutional registry of elderly patients with hip fracture between July 2014 and July 2017. Readmission rates and their CI95% were described. A proportional risk Cox model was used to describe risk factors and time-toreadmission. RESULTS: A total of 858 patients were included with a median hospital stay of 6 days (interquartile range [IQR] 5-9), 86% (737) of female patients and a median age of 86 years (IQR 81-89). Readmission rates were 10% (CI95%: 8.3-12.5) at 30 days and 39% (CI95%: 34.8-42.6) at 12 months. The main cause was infection (30%). Associated factors were: age (>85 years) HR 1.3 (CI95%: 1-1.7; p 0.03), female gender HR 0.5 (CI95%: 0.4-0.7; p<0.01), fragility HR 1.4 (CI95%: 1.1-1.8; p<0.01), Charlson score (≥2) HR 1.6 (CI95%: 1.3-2.1; p<0.01), hospital stay (>7 days) HR 1.4 (CI95%: 1.2- 1.9, p<0.01). CONCLUSIONS: Readmission after hip fracture has a high incidence. Perioperative care of patients with hip fracture is essential to reduce complications.
Subject(s)
Humans , Male , Female , Aged, 80 and over , Patient Readmission , Hip FracturesABSTRACT
INTRODUCCIÓN El paciente por haber padecido una fractura de cadera tiene un riesgo aumentado de complicaciones y mortalidad. Desconocemos cual es la tasa de reinternaciones en nuestro medio y sus factores asociados. OBJETIVOS Estimar la tasa de reinternaciones en ancianos luego de una internación por fractura de cadera. Identificar factores asociados a reinternaciones. MÉTODOS Se realizó un estudio de cohorte prospectiva, de adultos mayores de 65 años con fractura de cadera aguda que ingresaron al Registro Institucional de Ancianos con Fractura de Cadera (RIAFC). Se les realizó una evaluación durante la internación para recabar características basales. Luego del alta, se les realizó seguimiento a los 3 y 12 meses. Se presenta la tasa de reinternación a 72 hs, 30 días, 3 meses y al año. RESULTADOS Se incluyeron 858 pacientes que fueron dados de alta por una fractura de cadera. La mediana de días de internación por fractura de cadera fue de 6 días (rango intercuartil RIC 4). El 85,9% (737) de los pacientes era de sexo femenino, con una mediana de edad de 85,5 años (RIC 8). La tasa de reinternaciones a las 72 horas fue de 1,8% (IC95% 0,6 - 2,2), a los 90 días 19,5% (IC95% 16,9 - 22,4) y al año fue del 38,5% (IC95% 34,8 - 42,6). Se dicotomizaron las variables para ingresarlas al modelo multivariado de regresión de Cox, y fueron independientes; edad (>85 años) HR 1.3 (IC95% 1 - 1.7; p 0.04), sexo femenino HR 0.5 (IC95% 0,4 - 0,7;p<0.01), tomar más de 5 medicaciones HR 1.05 (IC95% 1 -1.1; p 0.02), fragilidad (Escala Canadiense) HR 1.4 (IC95% 1.1-1.8; p 0.01), Score de Charlson (>=2) HR 1.15 (IC95% 1.1-1.2; p <0.01), días de internación (>7 días) HR 1.4 (IC95% 1.1-1.8 p <0.01). DISCUSIÓN La reinternación tiene una alta incidencia en los fracturados de cadera. Se encontraron características clínicas, geriátricas y los días de internación como factores asociados a la reinternación. Aproximadamente el 40% de las muertes son dentro del mes de la reinternación
Subject(s)
Aged , Aged, 80 and over , Patient Readmission , Aged , Hip FracturesSubject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Drug-Related Side Effects and Adverse Reactions/diagnosis , Hospitalization/trends , Societies, Medical , Time Factors , United States , Prevalence , Retrospective Studies , Follow-Up Studies , Multicenter Studies as Topic , Inappropriate Prescribing/prevention & control , Potentially Inappropriate Medication List/statistics & numerical data , GeriatricsABSTRACT
La edad está asociada con un aumento de la prevalencia de múltiples enfermedades y también con un deterioro de la reserva funcional y fisiológica. Los pacientes adultos mayores tienen un riesgo aumentado para el desarrollo de complicaciones frente a cirugías y diversas prácticas oncológicas. Los procesos de toma de decisiones en muchos casos son complejos, y la detección de toda esta comorbilidad geriátrica no está contemplada en muchos de los modelos clásicos para predicción de riesgo. En este artículo se describe una herramienta de evaluación geriátrica integral dirigida a la detección de riesgos para prácticas y procedimientos (DRIPP) en el adulto mayor, que fue desarrollada y se utiliza en el ámbito del Hospital Italiano de Buenos Aires. El objetivo de DRIPP es la detección de factores de riesgo clínicos y geriátricos asociados con malos resultados, a partir del cual se generan recomendaciones específicas de manejo, que aportan mayor información para el buen desarrollo del proceso de consentimiento informado y la toma de decisiones. Su integración transversal y longitudinal con las diferentes disciplinas e instancias para el seguimiento del paciente es una característica esencial que se traduce en ventajas asistenciales y académicas. (AU)
Aging is associated with an increased prevalence of multiple diseases, and also with decline in functional and physiologic reserve. Elderly patients have an increased risk to develop complications after surgeries and various oncological interventions. Decision-making processes are complex in several cases, and detection of all this geriatric comorbidity is not covered by many of the classic models for risk prediction. This article describes a comprehensive geriatric assessment tool for detection of risks for practices and procedures (DRIPP) in the elderly, which was developed and is used in the setting of Hospital Italiano de Buenos Aires. The aim of DRIPP is the systematic detection of clinical and geriatric risk factors associated with poor outcomes, and from which specific management recommendations are generated, as well as provides more information for the proper development of the informed consent and decision making processes. The transverse and longitudinal integration with different disciplines and instances for patient's follow up, are an essential feature, resulting in healthcare and academic advantages. (AU)
Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Geriatric Assessment/methods , Decision Support Techniques , Argentina , Comorbidity , Geriatric Assessment/statistics & numerical data , Population Dynamics/statistics & numerical data , Prevalence , Frail Elderly/statistics & numerical data , Age Factors , Aftercare/methods , Aftercare/statistics & numerical data , Surgical Clearance/methods , Surgical Clearance/statistics & numerical data , Clinical Decision Rules , Informed ConsentABSTRACT
BACKGROUND: There are limited data concerning the incidence density (ID) of ATTRwt, AL and AA amyloidosis in the Argentinean population. Our aim was to estimate the ID of ATTRwt, AL and AA amyloidosis at the Hospital Italiano Medical Care Program in Buenos Aires, Argentina. METHODS: Population was all members of a hospital-based health maintenance organization who were affiliated since January 2006 to December 2014. Each person was followed contributing time at risk since January 2006 or enrollment date to the final date. Incident cases of amyloidosis were captured from the institutional registry of amyloidosis. Incidence rate was calculated with 95% confidence intervals. RESULTS: During the nine-year study period, there were 15 patients with ATTRwt, 12 with AL and 2 with AA amyloidosis for 1 105 152 person-years of follow-up. The crude ID of ATTRwt amyloidosis was 13.5 (95%CI 8.1-22.4), that of AL amyloidosis 11 (95%CI: 6-19) and that of AA amyloidosis 1.8 (95%CI: 0.5-7.2) per 1 000 000 person-years. The highest ID was found in men (31.7 for ATTRwt, 15.9 for AL and 2.27 for AA amyloidosis per 1 000 000 person-years). The ID adjusted to the population of the city of Buenos Aires was 6.46 (95%CI: 3.17-9.74) for ATTRwt, 6.13 (95%CI: 2.57-9.7) for AL and 1.21 (95%CI: 0.56 to 2.99) for AA amyloidosis. CONCLUSIONS: This is the first paper to report the incidence density of ATTRwt, AL and AA amyloidosis in Latin America. Our results are consistent with other studies from other regions. Although systemic amyloidosis is a rare disease, it is a major health problem because of its morbi-mortality.