Unexplained sudden death in patients on the waiting list for renal transplantation

Background. The incidence of unexplained sudden death (SD) and the factors involved in its occurrence in patients with chronic kidney disease are not well known. Methods. We investigated the incidence and the role of co-morbidities in unexplained SD in 1139 haemodialysis patients on the renal transplant waiting list. Results. Forty-four patients died from SD of undetermined causes (20% of all deaths; 3.9 deaths/1000 patients per year), while 178 died from other causes and 917 survived. SD patients were older and likely to have diabetes, hypertension, past/present cardiovascular disease, higher left ventricular mass index, and lower ejection fraction. Multivariate analysis showed that cardiovascular disease of any type was the only independent predictor of SD (P = 0.0001, HR = 2.13, 95% CI 1.46-3.22). Alterations closely associated with ischaemic heart disease like angina, previous myocardial infarction and altered myocardial scan were not independent predictors of SD. The incidence of unexplained SD in these haemodialysis patients is high and probably a consequence of pre-existing cardiovascular disease. Conclusions. Factors influencing SD in dialysis patients are not substantially different from factors in the general population. The role played by ischaemic heart disease in this context needs further evaluation.

The quality of life of patients on the lung transplantation waiting list

Introduction. Lung transplantation (LTx) candidates present incapacitating symptoms related to their mobility and activities of daily living, thereby affecting their work, social and emotional relations, and quality of life (QoL). Objective. To study the QoL of LTx candidates, seeking to identify domains that suffer the greatest impact and verify if there are differences among these impairments according to the original lung disease. Methods. We applied the Short Form-36 questionnaires and St George`s Respiratory Questionnaire (SGRQ). All data were analyzed by one-way analysis of variance and the Kruskal Wallis test for the probability with significance at P < 0.05. Results. Fifty patients were divided into groups of emphysema (n = 16), bronchiectasis (n = 12), idiopathic pulmonary fibrosis (n = 7), and cystic fibrosis (n = 15). The functional capacity, physical aspects, general status, and vitality domains showed average values below 50 points. The cystic fibrosis group showed higher functional capacity scores (46 +/- 23) than the emphysema (12 +/- 13) or idiopathic pulmonary fibrosis cohort (7 5). The limitation caused by pain affected the bronchiectasis more than the cystic fibrosis group (52 +/- 28 vs 81 +/- 25, respectively). The SGRQ scores showed impairment among all groups in all domains with average values over 50. The activities domain shows the highest score value; the emphysema (92 +/- 10) and idiopathic pulmonary fibrosis cohorts (91 +/- 9) were extremely affected compared with the cystic fibrosis (69 +/- 21) and bronchiectasis subjects (79 +/- 16). The impact domain show that subjects with cystic fibrosis were less emotionally affected by the disease. Conclusion. LTx candidates showed great impairment of their QoL due to their health problems, above all in the physical-functional aspects; the cystic fibrosis patients were the least affected by their health status.

The Potential Impact of Using Donations After Cardiac Death on the Liver Transplantation Program and Waiting List in the State of Sao Paulo, Brazil

Liver transplantation was first performed at the University of Sao Paulo School of Medicine in 1968. Since then, the patient waiting list for liver transplantation has increased at a rate of 150 new cases per month. Liver transplantation itself rose 1.84-fold (from 160 to 295) from 1988 to 2004. However, the number of patients on the liver waiting list jumped 2.71-fold (from 553 to 1500). Consequently, the number of deaths on the liver waiting list moved to a higher level, from 321 to 671, increasing 2.09-fold. We have applied a mathematical model to analyze the potential impact of using a donation after cardiac death (DCD) policy on our liver transplantation program and on the waiting list. Five thousand one hundred people died because of accidents and other violent causes in our state in 2004; of these, only 295 were donors of liver grafts that were transplanted. The model assumed that 5% of these grafts would have been DCD. We found a relative reduction of 27% in the size of the liver transplantation waiting list if DCD had been used by assuming that 248 additional liver transplants would have been performed annually. In conclusion, the use of DCD in our transplantation program would reduce the pressure on our liver transplantation waiting list, reducing it by at least 27%. On the basis of this model, the projected number of averted deaths is about 41,487 in the next 20 years. Liver Transpl 14:1732-1736, 2008. (C) 2008 AASLD.

Sao Paulo Lung Transplantation Waiting List: Patient Characteristics and Predictors of Death

Introduction. Nowadays, lung transplantation (LTx) allocation in Brazil is based mainly oil waiting time. There is a need to evaluate the equity of the current lung allocation system. Objectives. We sought to (1) determine the characteristics of registered patients on the waiting list and (2) identify predictors of death on the list. Materials and Methods. We analyzed the medical records as well as clinical and laboratory data of 164 patients registered on the waiting list from 2001 to June 2008. Predictors of mortality were obtained using Cox proportional hazards analysis. Results. Patients who were registered on the waiting list showed a mean age of 36.1 +/- 15.0 vs. 42.2 +/- 15.7 years, considering those who did versus did not, die on the list, respectively (P = .054). Emphysema was the most prevalent underlying disease among the patients who did not die on the list (28.8%); its prevalence was low among the patients who died on the list (6.5%; P = .009). The following variables correlated with the probability of death on the waiting list: emphysema or bronchiectasis diagnosis (hazard ratio [HR] = 0.15; P = .002); activated partial thromboplastin time > 30 seconds (HR = 3.28; P = .002); serum albumin > 3.5 g/dL (HR = 0.41; P = .033); and hemoglobin saturation > 85% (HR = 0.44; P = .031). Conclusions. Some variables seemed to predict death on the LTx waiting list; these characteristics should be used to improve the LTx allocation criteria in Brazil.

Should watchful waiting be used more often for acute otitis media?

RECENT ANXIETY about the treatment of acute otitis media has been precipitated by a resistance to antibiotics by the common pathogens that can cause this infection.1, 2 The medical profession is facing an increasingly impotent option in the form of antibiotics, prompting physicians around the world to consider alternatives. In this issue of the ARCHIVES, Pichichero and Poole3 have undertaken a comprehensive study involving pediatricians and otorhinologists. The objectives were to assess their recognition of the physical findings of acute otitis media and their ability to perform myringotomy. The principal issue is the safety of performing myringotomy in children with acute otitis media. Because this is an office procedure in which a general anesthetic is not administered, the child is strapped to a papoose board and held down. Myringotomy is not without potential serious complications. The superior part of the middle ear cavity contains the ossicles and the chorda tympani branch . . . [Full Text of this Article]

Waiting time for radiotherapy in women with cervical cancer

ABSTRACT OBJECTIVE To describe the waiting time for radiotherapy for patients with cervical cancer. METHODS This descriptive study was conducted with 342 cervical cancer cases that were referred to primary radiotherapy, in the Baixada Fluminense region, RJ, Southeastern Brazil, from October 1995 to August 2010. The waiting time was calculated using the recommended 60-day deadline as a parameter to obtaining the first cancer treatment and considering the date at which the diagnosis was confirmed, the date of first oncological consultation and date when the radiotherapy began. Median and proportional comparisons were made using the Kruskal Wallis and Chi-square tests. RESULTS Most of the women (72.2%) began their radiotherapy within 60 days from the diagnostic confirmation date. The median of this total waiting time was 41 days. This median worsened over the time period, going from 11 days (1995-1996) to 64 days (2009-2010). The median interval between the diagnostic confirmation and the first oncological consultation was 33 days, and between the first oncological consultation and the first radiotherapy session was four days. The median waiting time differed significantly (p = 0.003) according to different stages of the tumor, reaching 56 days, 35 days and 30 days for women whose cancers were classified up to IIA; from IIB to IIIB, and IVA-IVB, respectively. CONCLUSIONS Despite most of the women having had access to radiotherapy within the recommended 60 days, the implementation of procedures to define the stage of the tumor and to reestablish clinical conditions took a large part of this time, showing that at least one of these intervals needs to be improved. Even though the waiting times were ideal for all patients, the most advanced cases were quickly treated, which suggests that access to radiotherapy by women with cervical cancer has been reached with equity.

Waiting for Junot: os filhos da estrela e a serra da lua

Congresso Internacional e Interdisciplinar Evocativo da Guerra Peninsular, integrando o XVII Colóquio de História Militar nos 200 anos das invasões napoleónicas em Portugal

Predicting triage waiting time in maternity emergency care by means of data mining

Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.

Predicting pre-triage waiting time in a maternity emergency room through data mining

An unsuitable patient flow as well as prolonged waiting lists in the emergency room of a maternity unit, regarding gynecology and obstetrics care, can affect the mother and child’s health, leading to adverse events and consequences regarding their safety and satisfaction. Predicting the patients’ waiting time in the emergency room is a means to avoid this problem. This study aims to predict the pre-triage waiting time in the emergency care of gynecology and obstetrics of Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto, situated in the north of Portugal. Data mining techniques were induced using information collected from the information systems and technologies available in CMIN. The models developed presented good results reaching accuracy and specificity values of approximately 74% and 94%, respectively. Additionally, the number of patients and triage professionals working in the emergency room, as well as some temporal variables were identified as direct enhancers to the pre-triage waiting time. The imp lementation of the attained knowledge in the decision support system and business intelligence platform, deployed in CMIN, leads to the optimization of the patient flow through the emergency room and improving the quality of services.

Consequences of the Prolonged Waiting Time for Patients Candidates for Heart Surgery

OBJECTIVE - To assess mortality and the psychological repercussions of the prolonged waiting time for candidates for heart surgery. METHODS - From July 1999 to May 2000, using a standardized questionnaire, we carried out standardized interviews and semi-structured psychological interviews with 484 patients with coronary heart disease, 121 patients with valvular heart diseases, and 100 patients with congenital heart diseases. RESULTS - The coefficients of mortality (deaths per 100 patients/year) were as follows: patients with coronary heart disease, 5.6; patients with valvular heart diseases, 12.8; and patients with congenital heart diseases, 3.1 (p<0.0001). The survival curve was lower in patients with valvular heart diseases than in patients with coronary heart disease and congenital heart diseases (p<0.001). The accumulated probability of not undergoing surgery was higher in patients with valvular heart diseases than in the other patients (p<0.001), and, among the patients with valvular heart diseases, this probability was higher in females than in males (p<0.01). Several patients experienced intense anxiety and attributed their adaptive problems in the scope of love, professional, and social lives, to not undergoing surgery. CONCLUSION - Mortality was high, and even higher among the patients with valvular heart diseases, with negative psychological and social repercussions.