PURPOSE: Approximately 15-50% of patients with an anorectal abscess will develop an anal fistula, but the true incidence of this entity is currently unknown. The aim of the study was to determine the incidence of anorectal abscess and development of a fistula in a specific population area and to identify potential risk factors associated with demographic, socioeconomic and pre-existing disease (e.g. diabetes and inflammatory bowel disease). METHODS: A longitudinal observational study was designed including a large cohort study in an area with 7,553,650 inhabitants in Spain 1st january 2014 to 31st december 2019. Adults who attended for the first time with an anorectal abscess and had a minimum of 1-year follow-up were included. The diagnosis was made using ICD-10 codes for anorectal abscess and anal fistula. RESULTS: During the study period, we included 27,821 patients with anorectal abscess. There was a predominance of men (70%) and an overall incidence of 596 per million population. The overall incidence of anal fistula developing from abscesses was 20%, with predominance in men, and a lower incidence in the lowest income level. The cumulative incidence of fistula was higher in men and in younger patients (p < 0.0001). On multivariate analysis, patients aged 60-69 years (hazard ratio 2.0) and those with inflammatory bowel disease (hazard ratio 1.8-2.0) had a strong association with fistula development (hazard ratio 2.0). CONCLUSIONS: One in five patients with an anorectal abscess will develop a fistula, with a higher likelihood in men. Fistula formation was strongly associated with inflammatory bowel disease.
Anus Diseases , Inflammatory Bowel Diseases , Rectal Fistula , Adult , Male , Humans , Female , Abscess/epidemiology , Abscess/etiology , Cohort Studies , Follow-Up Studies , Anus Diseases/epidemiology , Anus Diseases/etiology , Rectal Fistula/etiology , Rectal Fistula/complications , Inflammatory Bowel Diseases/complications
Introducción: A pesar del aumento de la supervivencia, el ictus representa una carga en salud y socioeconómica creciente. Mediante el uso de bases de datos poblacionales describimos las características principales de los pacientes con ictus isquémico y comparamos el uso de recursos y el gasto asociado un año antes y 3 años después del evento. Métodos: Se identificaron en los sistemas de Información del Servicio Catalán de la Salud todos los pacientes con ictus isquémico entre los años 2012 y 2016. Se relacionaron todos los contactos con el sistema sanitario desde un año antes del episodio índice hasta 3 años después. Se describió el uso de recursos y el gasto sanitario mensual y anual por paciente en los distintos recursos. Resultados: Se identificaron 36.044 pacientes con ictus isquémico, edad media (DE) de 74,7 (13,3) años. La supervivencia a los 3 años fue del 63%. El gasto medio por paciente en el año previo fue de 3.230, de 11.060 el primer año desde el ictus, de 4.104 el segundo y 3.878 el tercero. Los mayores determinantes de gasto en el primer año fueron las hospitalizaciones (incluyendo la hospitalización inicial), representando el 45% de la diferencia con respecto al año previo al ictus, y en segundo lugar el gasto en convalecencia y rehabilitación (un 33%). Después del primer año, los mayores determinantes del incremento en el gasto respecto al año previo fueron las nuevas hospitalizaciones y el tratamiento farmacológico. Conclusión: Después de un ictus isquémico, el gasto en atención sanitaria aumenta principalmente por las necesidades iniciales de hospitalización y después del primer año se reduce, aunque manteniéndose por encima de los valores previos al ictus. La información derivada de bases de datos poblacionales es útil para mejorar la organización de los servicios de atención al ictus. (AU)
Introduction: Despite improved survival rates, stroke represents an increasing healthcare and socioeconomic burden. We describe the main characteristics of patients with ischaemic stroke and resource use and associated expenditure one year before and 3 years after stroke, using a population-based dataset. Methods: The information technology systems of the Catalan Health Service were used to identify patients with ischaemic strokes occurring between January 2012 and December 2016. For each patient, information from one year before the stroke and up to 3 years thereafter was linked across databases. We describe annual and monthly resource use and healthcare expenditure per patient. Results: We identified 36,044 patients with ischaemic stroke (mean age, 74.7 ± 13.3 years). The survival rate at 3 years was 63%. Average expenditure per patient was 3,230 the year before stroke, 11,060 for year one after stroke, 4,104 for year 2, and 3,878 for year 3. The greatest determinants of cost in year one were hospitalisation (including initial hospitalisation), representing 45% of the difference in expenditure compared to the previous year, and convalescence and rehabilitation services, representing 33% of this difference. After year one, the increase in expenditure was mainly determined by additional hospital admissions and drug treatment. Conclusion: After ischaemic stroke, healthcare expenditure increases primarily because of initial hospitalisation. After year one, the expenditure decreases but remains above baseline values. Information from population-based datasets is useful for improving the planning of stroke services. (AU)
Humans , Male , Female , Aged , Brain Ischemia/therapy , Health Expenditures , Hospitalization , Pharmaceutical Preparations , Stroke/therapy
INTRODUCTION: Despite improved survival rates, stroke represents an increasing healthcare and socioeconomic burden. We describe the main characteristics of patients with ischaemic stroke and resource use and associated expenditure one year before and 3 years after stroke, using a population-based dataset. METHODS: The information technology systems of the Catalan Health Service were used to identify patients with ischaemic strokes occurring between January 2012 and December 2016. For each patient, information from one year before the stroke and up to 3 years thereafter was linked across databases. We describe annual and monthly resource use and healthcare expenditure per patient. RESULTS: We identified 36 044 patients with ischaemic stroke (mean age, 74.7 ± 13.3 years). The survival rate at 3 years was 63%. Average expenditure per patient was 3230 the year before stroke, 11 060 for year 1 after stroke, 4104 for year 2, and 3878 for year 3. The greatest determinants of cost in year 1 were hospitalisation (including initial hospitalisation), representing 45% of the difference in expenditure compared to the previous year, and convalescence and rehabilitation services, representing 33% of this difference. After year one, the increase in expenditure was mainly determined by additional hospital admissions and drug treatment. CONCLUSION: After ischaemic stroke, healthcare expenditure increases primarily because of initial hospitalisation. After year one, the expenditure decreases but remains above baseline values. Information from population-based datasets is useful for improving the planning of stroke services.
Brain Ischemia , Ischemic Stroke , Stroke , Aged , Aged, 80 and over , Brain Ischemia/therapy , Health Expenditures , Hospitalization , Humans , Middle Aged , Stroke/therapy
BACKGROUND: Multimorbidity is highly relevant for both service commissioning and clinical decision-making. Optimization of variables assessing multimorbidity in order to enhance chronic care management is an unmet need. To this end, we have explored the contribution of multimorbidity to predict use of healthcare resources at community level by comparing the predictive power of four different multimorbidity measures. METHODS: A population health study including all citizens ≥18 years (n = 6,102,595) living in Catalonia (ES) on 31 December 2014 was done using registry data. Primary care service utilization during 2015 was evaluated through four outcome variables: A) Frequent attendants, B) Home care users, C) Social worker users, and, D) Polypharmacy. Prediction of the four outcome variables (A to D) was carried out with and without multimorbidity assessment. We compared the contributions to model fitting of the following multimorbidity measures: i) Charlson index; ii) Number of chronic diseases; iii) Clinical Risk Groups (CRG); and iv) Adjusted Morbidity Groups (GMA). RESULTS: The discrimination of the models (AUC) increased by including multimorbidity as covariate into the models, namely: A) Frequent attendants (0.771 vs 0.853), B) Home care users (0.862 vs 0.890), C) Social worker users (0.809 vs 0.872), and, D) Polypharmacy (0.835 vs 0.912). GMA showed the highest predictive power for all outcomes except for polypharmacy where it was slightly below than CRG. CONCLUSIONS: We confirmed that multimorbidity assessment enhanced prediction of use of healthcare resources at community level. The Catalan population-based risk assessment tool based on GMA presented the best combination of predictive power and applicability.
Health Services/statistics & numerical data , Multimorbidity , Multiple Chronic Conditions/epidemiology , Polypharmacy , Primary Health Care/statistics & numerical data , Social Work/statistics & numerical data , Adult , Aged , Female , Home Care Services , Humans , Male , Middle Aged , Registries , Risk Factors , Spain/epidemiology
La sepsis es una entidad sindrómica de elevada prevalencia y mortalidad. Su manejo está estandarizado y tiene una eficacia dependiente del tiempo. Sin embargo, el manejo de los pacientes con sepsis es complejo. La heterogeneidad de las formas de presentación puede dificultar su detección y manejo, así como las diferencias en formación, competencias o disponibilidad de recursos sanitarios. La Comisión Asesora para la Atención al PAciente con Sepsis (CAAPAS), formada por 7 sociedades científicas, el Sistema de Emergencias Médicas (SEM) y el Servei Català de la Salut (CatSalut), han desarrollado en Catalunya el Código Sepsis Interhospitalario (CSI). El objetivo general del CSI es facilitar la detección precoz, la atención inicial y la coordinación interhospitalaria para optimizar el tratamiento de los pacientes con sepsis o shock séptico en formato código de riesgo vital, de forma homogénea a lo largo de todo el territorio catalán
Sepsis is a syndromic entity with high prevalence and mortality. The management of sepsis is standardized and exhibits time-dependent efficiency. However, the management of patients with sepsis is complex. The heterogeneity of the forms of presentation can make it difficult to detect and manage such cases, in the same way as differences in training, professional competences or the availability of health resources. The Advisory Commission for Patient Care with Sepsis (CAAPAS), comprising 7 scientific societies, the Emergency Medical System (SEM) and the Catalan Health Service (CatSalut), have developed the Interhospital Sepsis Code (CSI) in Catalonia (Spain). The general objective of the CSI is to increase awareness, promote early detection and facilitate initial care and interhospital coordination to attend septic patients in a homogeneous manner throughout Catalonia
Humans , Sepsis/epidemiology , Patient Care/standards , Early Diagnosis , Shock, Septic/diagnosis , Shock, Septic/therapy , Healthcare Models/standards , Organ Dysfunction Scores , Algorithms , Emergency Treatment/standards
Sepsis is a syndromic entity with high prevalence and mortality. The management of sepsis is standardized and exhibits time-dependent efficiency. However, the management of patients with sepsis is complex. The heterogeneity of the forms of presentation can make it difficult to detect and manage such cases, in the same way as differences in training, professional competences or the availability of health resources. The Advisory Commission for Patient Care with Sepsis (CAAPAS), comprising 7 scientific societies, the Emergency Medical System (SEM) and the Catalan Health Service (CatSalut), have developed the Interhospital Sepsis Code (CSI) in Catalonia (Spain). The general objective of the CSI is to increase awareness, promote early detection and facilitate initial care and interhospital coordination to attend septic patients in a homogeneous manner throughout Catalonia.
Advisory Committees/organization & administration , Clinical Coding/standards , Sepsis/diagnosis , Sepsis/therapy , Age Factors , Algorithms , Blood Circulation , Clinical Coding/organization & administration , Early Diagnosis , Emergencies , Hospitals/standards , Humans , Medical History Taking , Meningism/diagnosis , Models, Organizational , Multiple Organ Failure/diagnosis , Physical Examination , Respiratory Distress Syndrome/diagnosis , Resuscitation/standards , Sepsis/blood , Shock, Septic/blood , Shock, Septic/diagnosis , Shock, Septic/therapy , Spain/epidemiology , Unconsciousness/diagnosis
INTRODUCTION: Despite improved survival rates, stroke represents an increasing healthcare and socioeconomic burden. We describe the main characteristics of patients with ischaemic stroke and resource use and associated expenditure one year before and 3 years after stroke, using a population-based dataset. METHODS: The information technology systems of the Catalan Health Service were used to identify patients with ischaemic strokes occurring between January 2012 and December 2016. For each patient, information from one year before the stroke and up to 3 years thereafter was linked across databases. We describe annual and monthly resource use and healthcare expenditure per patient. RESULTS: We identified 36,044 patients with ischaemic stroke (mean age, 74.7±13.3 years). The survival rate at 3 years was 63%. Average expenditure per patient was 3,230 the year before stroke, 11,060 for year one after stroke, 4,104 for year 2, and 3,878 for year 3. The greatest determinants of cost in year one were hospitalisation (including initial hospitalisation), representing 45% of the difference in expenditure compared to the previous year, and convalescence and rehabilitation services, representing 33% of this difference. After year one, the increase in expenditure was mainly determined by additional hospital admissions and drug treatment. CONCLUSION: After ischaemic stroke, healthcare expenditure increases primarily because of initial hospitalisation. After year one, the expenditure decreases but remains above baseline values. Information from population-based datasets is useful for improving the planning of stroke services.
The aim of this study was to investigate whether early death following the start of dialysis treatment can be explained by predialysis comorbid conditions, and to develop a prognostic model to predict early death in these patients. All patients with diabetes mellitus (DM) over 19 years of age entering hemodialysis in Catalonia in the 1997-2002 period (n = 1,365) were assessed from prospectively obtained data in the Catalan Renal Registry. Logistic regression was used to identify the risk factors associated with mortality at 3, 6 and 12 months of hemodialysis. Mortality at 3 months was found to be associated with age (RR: 1.53/10 years), low grades of functional autonomy, defined as "limited" (RR: 2.28) or "special care" (RR: 4.60), heart disease (RR: 2.23), and use of a catheter as the first vascular access (RR: 2.45). Malignant conditions and malnutrition were found to be additional significant risk factors for mortality at 12 months (RR: 1.68 and 1.74, respectively). Based on the multivariate analysis results, an individual prognostic model was formulated. This study confirms previous data suggesting that predialysis comorbid conditions are significantly associated with mortality in DM patients on dialysis and provides a prognostic model to help clinicians focus on various factors that may require attention before initiating this treatment.
Diabetic Nephropathies/mortality , Kidney Failure, Chronic/therapy , Renal Dialysis/mortality , Adult , Aged , Arteriovenous Fistula , Catheters, Indwelling/adverse effects , Community Health Planning/methods , Diabetic Angiopathies/mortality , Disease Progression , Female , Humans , Kidney Failure, Chronic/mortality , Male , Middle Aged , Multivariate Analysis , Predictive Value of Tests , Prognosis , Prospective Studies , Regression Analysis , Renal Replacement Therapy/mortality , Risk Factors , Spain , Young Adult
BACKGROUND: According to literature, patient and graft survival is better in living donor renal transplants (LRT) than in cadaver renal transplants (CRT). OBJECTIVE: To study factors that determine the best results in LRT related to those of CRT, found in univariate studies. PATIENTS AND METHODS: Renal transplants (RT) done in Catalonia during the 1990-2004 period, performed in patients over 17 years (135 LRT and 3.831 CRT), have been analyzed (retransplants were not included). The data come from the Renal Patients Transplant Registry (RMRC). Student's t-test and chi2 test have been used for mean and for proportions comparisons, respectively. To analyze univariate and multivariate survival, actuarial method and Cox regression have been used, respectively. Estimated creatinine clearance has been studied and its data have been showed through Selwood modified Analysis. RESULTS: As it happens with other great RT patients series, the RMRC analysis, globally and without any adjustment, shows that patient and graft survival in LRT is better than that obtained with CRT. When we studied which variables explain these results, we found that main factors were smaller recipient age and the short time on dialysis. The great influence of both factors has been published in a large number of papers, explaining the differences obtained on the transplanted renal patient survival. CONCLUSIONS: Once adjusted the analysis by the different factors that influence the survival of the patient and the graft, there are no differences in the obtained results, since the best outcomes of the TRV are due to factors like the smaller recipient age and the advanced TR.
Kidney Transplantation/mortality , Living Donors , Adolescent , Adult , Aged , Cadaver , Female , Humans , Male , Middle Aged , Treatment Outcome
INTRODUCTION: We studied the renal transplantation results of living donor compared with cadaveric donor kidney transplantations. PATIENTS AND METHODS: One hundred thirty-six living donor transplantations performed during the period of 1990 to 2003 (group 1) were compared with a control group of 4304 cadaveric donor transplantations (group 2), paired 1:1 with group 1 patients, according to the period of transplantation, the primary renal disease, the transplant number, as well as the recipient and donor ages. RESULTS: There were no differences regarding patient or graft survival during a 10-year follow-up. CONCLUSIONS: The benefit of performing living donor kidney transplantations is the possibility of having the donor available even before beginning dialysis treatment.
Kidney Transplantation/physiology , Living Donors , Tissue Donors , Cadaver , Graft Survival , Humans , Kidney Transplantation/mortality , Retrospective Studies , Spain , Survival Analysis , Treatment Outcome
OBJECTIVE: Obesity is a cardiovascular risk factor in renal transplantation (RT). The objective of this study was to analyze the prevalence of post-RT obesity and risk factors associated with its development. PATIENTS AND METHODS: The study included all patients with a functioning renal transplant on December 31, 2003, who were residents of Catalonia, aged older than 14 years and who underwent transplantation between 1990 and 2003 (n = 2793); 102 patients (3.7%) were excluded due to lack of data for 1 or more study variables. Mean age was 53 +/- 14 years (range, 15-83) (61% men). Mean transplant duration was 63.0 +/- 44.5 months (range, 0-168). The chi-square test was used to compare proportions, analysis of variance (ANOVA) to compare mean values, and logistic regression to study risk factors for post-RT obesity. All data were taken from the Renal Registry of Catalonia (RMRC). RESULTS: Among RT patients, 38% were overweight (body mass index [BMI], 25-29.9 kg/m(2)) and 16% were obese (BMI >30). Prevalence of obesity was higher in women (21% vs 13%; P < .0001). Age was associated with obesity in RT patients aged 45-64 (20%) and 65-74 (18%) with respect to the group aged 15-44 years (9%) or >74 years (13%) (P < .0001). A total of 26% of patients who were normal weight before RT (BMI, 20-24.9) became overweight post-RT and 6% developed obesity (P < .0001). Among patients who were overweight pre-RT, 68% persisted with post-RT excess weight and 16% progressed to obesity (P < .0001). In the multivariate study, significant risk factors for developing post-RT obesity included the following: female (relative risk [RR], 2.46; P < .0001), age (45-64 years; RR, 2.36; P < .0001; and 65-74 years; RR, 2.23; P = .002), high blood pressure (RR, 1.44; P = .03), duration of transplant (RR, 1.06; P < .0001), cardiomyopathy (RR, 1.51; P = .007), and, particularly, the presence of excess weight (RR, 2.69; P < .0001) and pre-RT obesity (RR, 59.02; P < .0001). CONCLUSIONS: There is a high prevalence of post-RT excess weight and obesity. Adequate control of cardiovascular risk in renal transplant recipients should also include strict measures to prevent and treat obesity.
Kidney Transplantation/physiology , Obesity/epidemiology , Adolescent , Adult , Aged , Female , Humans , Incidence , Kidney Failure, Chronic/epidemiology , Kidney Transplantation/statistics & numerical data , Male , Middle Aged , Multivariate Analysis , Overweight , Prevalence , Retrospective Studies , Risk Factors , Spain , Time Factors , Treatment Outcome
Kidney Transplantation/statistics & numerical data , Registries , Renal Dialysis/statistics & numerical data , Adolescent , Adult , Aged , Child , Child, Preschool , Humans , Incidence , Infant , Kidney Failure, Chronic/epidemiology , Kidney Failure, Chronic/etiology , Kidney Failure, Chronic/therapy , Middle Aged , Prevalence , Spain
AIM: Our goal was to retrospectively analyze graft loss and mortality risk factors using multi-centre data on liver retransplantation. MATERIAL AND METHODS: Between 1991-1995, 640 patients underwent 718 liver transplants in Barcelona. Mean age of the 74 patients receiving a second transplant was 47.6 years (range 19-65). Causes of retransplantation were immunologic in 26 patients (35.1%), technical in 23 (31.1%), primary dysfunction in 12 (16.2%), recurrent original disease in 7 (9.5%), and other causes in 6 (8.1%). Mean time between first and second transplant was less than 7 days in 20 patients (27%), between 8 and 30 days in 4 (5.4%) and more than 30 days in 50 patients (67.6%). Recipient, donor, and operative variables were analyzed using univariate (Kaplan-Meier curves) and multivariate techniques (Cox regression) to identify risk factors. RESULTS: Retransplant patient survival at 1 and 5 years was 60.8% and 49.5%, respectively, compared to 75.6% and 64.8% in a series of 640 first transplant patients. Mortality risk factors identified by multivariate analysis were bilirubin >12 mg/dL (RR 2.3; P=.010), recipient age (RR increase 0.04 for each additional year; P=.02), cause for retransplant (immunologic RR 4.01, technical RR 2.7 and other causes RR 6.9; compared to primary dysfunction RR 1; P=.020). Urea >54 mg/dL (0.02) and multiple transfusions >15 units red blood cells (0.001) were only significant in the univariate analysis. CONCLUSIONS: In our experience, retransplantation for primary dysfunction is the setting that has the best prognosis. Of the other causes, retransplantation should be performed before the total bilirubin reaches >12 mg/dL or before the appearance of variables indicative of severe renal insufficiency.
Liver Transplantation/mortality , Reoperation/mortality , Adult , Aged , Alanine Transaminase/blood , Analysis of Variance , Aspartate Aminotransferases/blood , Bilirubin/blood , Female , Humans , Liver Transplantation/physiology , Male , Middle Aged , Multivariate Analysis , Retrospective Studies , Risk Factors , Survival Analysis , Time Factors
Kidney Transplantation/statistics & numerical data , Peritoneal Dialysis/statistics & numerical data , Renal Dialysis/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Cardiovascular Diseases/mortality , Child , Child, Preschool , Female , Global Health , Humans , Incidence , Infant , Infections/mortality , Kidney Diseases/complications , Kidney Diseases/epidemiology , Kidney Failure, Chronic/epidemiology , Kidney Failure, Chronic/etiology , Kidney Failure, Chronic/therapy , Kidney Transplantation/mortality , Male , Middle Aged , Neoplasms/mortality , Peritoneal Dialysis/mortality , Prevalence , Registries , Renal Dialysis/mortality , Retrospective Studies , Societies, Medical , Spain , Surveys and Questionnaires
No disponible
Middle Aged , Child, Preschool , Child , Adolescent , Adult , Aged , Male , Infant , Female , Humans , Societies, Medical , Spain , Global Health , Kidney Transplantation , Prevalence , Incidence , Age Distribution , Peritoneal Dialysis , Surveys and Questionnaires , Retrospective Studies , Registries , Cardiovascular Diseases , Renal Insufficiency, Chronic , Kidney Diseases , Infections , Renal Dialysis , Neoplasms
