Association between Migraine and Quality of Life, Mental Health, Sleeping Disorders, and Health Care Utilization Among Older African American Adults.

PURPOSE: This study examines the associations between migraine headaches, well-being, and health care use among a sample of underserved older African American adults. Controlling for relevant variables, the association between migraine headaches and (1) health care utilization, (2) health-related quality of life (HRQoL), and (3) physical and mental health outcomes was examined. METHODS: Our sample included 760 older African American adults from South Los Angeles recruited through convenience and snowball sampling. In addition to demographic variables, our survey included validated instruments, such as the SF-12 QoL, Short-Form McGill Pain Questionnaire, and the Geriatric Depression Scale. Data analysis included 12 independent multivariate models using multiple linear regression, log transferred linear regression, binary and multinomial logistic regression, and generalized linear regression with Poisson distribution. RESULTS: Having migraine was associated with three categories of outcomes: (1) higher level of health care utilization measured by (i) emergency department admissions and (ii) number of medication use; (2) lower level of HRQoL and health status measured by (i) lower self-rated health (ii) physical QoL, and (iii) mental QoL; and (3) worse physical and mental health outcomes measured by (i) higher number of depressive symptoms, (ii) higher level of pain, (iii) sleep disorder, and (iv) being disabled. CONCLUSIONS: Migraine headache significantly was associated with quality of life, health care utilization, and many health outcomes of underserved African American middle-aged and older adults. Diagnoses and treatments of migraine among underserved older African American adults require multi-faceted and culturally sensitive interventional studies.

Comparison of plasma exchange performances between Spectra Optia and COBE Spectra apheresis systems in repeated procedures considering variability and using specific statistical models.

Repeated therapeutic plasma exchange (TPE) procedures using centrifugation techniques became a standard therapy in some diseases. As the new device Spectra Optia (SPO; Terumo BCT) was available, we studied its performances in repeated procedures in 20 patients in three apheresis units. First we analysed the performance results obtained by SPO. Second we compared the performances of the SPO device to a standard device, COBE Spectra (CSP; Terumo BCT) in the same patients using statistical method of mixed effects linear regression that considers variability between patients, centres and apheresis procedures. The performances analysed were classified according to plasma removal performances and their consequences on patients whose blood disturbances were assessed. Primary outcome was plasma removal efficiency (PRE) and PRE-anticoagulant corrected which was a more accurate parameter. Secondary outcomes corresponded to the volume of ACD-A consumed, platelets content in waste bag, procedure duration and status of coagulation system observed after TPE sessions. Before comparing the performances of both devices we compared the plasma volumes (PVs) processed in both techniques which showed that the PVs processed in SPO procedures were lower than in CSP procedures. In these conditions the statistical analysis revealed similar performances in both apheresis devices in PRE (p = ns) but better performances with SPO when considering higher PRE corrected by anticoagulant volume used (p < 0.05). Comparison of secondary outcomes showed no difference after SPO and CSP. After verifying that pre-apheresis patients' coagulation blood levels were identical before SPO and CSP, we showed identical haemostasis disturbances after SPO and CSP but lower platelet losses and higher fibrinogen post-apheresis blood levels after SPO (p < 0.05). No side effects or technical complications occurred during and after SPO and CSP. This study demonstrated that the Spectra Optia device is an alternative device to today's standard, the COBE Spectra device.

[Hereditary hemochromatosis: presenting manifestations and diagnostic delay]. / Hémochromatose héréditaire: circonstances de découverte et délais diagnostiques.

PURPOSE: Hereditary hemochromatosis is characterized by an excessive absorption and progressive accumulation of iron in the liver, the pancreas, the heart, and the joints. Tiredness and joint manifestations occur usually before hepatopathy, diabetes or cardiopathy. Such common and unspecific symptoms seem to be largely unknown and important diagnostic delays have been reported. The aim of this study was to investigate the discovery circumstances and the diagnostic delay. METHODS: A survey was carried out amongst French patients with C282Y homozygous hemochromatosis who were contacted through patients associations or blood centers. RESULTS: The questionnaire was answered by 374 patients. Mean age at diagnosis was 48.6±11.9years. In 53% of the cases, the serum level of ferritin was greater than 1000 µg/L. Diagnosis was based on family genetic survey (29%), or fortuitous analyses showing an abnormal serum ferritin (26%), or clinical manifestations (45%). Main complaints were joint pain, tiredness or liver disease. Only 2.1% consulted for diabetes, cardiopathy or changed complexion. Time to diagnosis was lower than 1 year for 98% of patients who presented with fatigue but from 1 to 15 years for 23.4% and 29% of patients who presented with arthropathy and hepatopathy, respectively. CONCLUSION: For 55% of patients, diagnosis was based on familial genetic survey or fortuitous abnormal results of blood samples. An initial serum level of ferritin greater than 1000 µg/L was a factor of severity for 50% of patient. These two elements must be taken into account to consider a population mass screening. Long time to diagnosis required a sensitization of the population to be aware of the clinical manifestations of hemochromatosis.

Attitudes of medical students about brain death and organ donation.

INTRODUCTION: There have been publications on the attitudes of the general Iranian population and health care personnel about brain death and organ donation; however, there is little information about such attitudes of medical students. In 2006, a survey was conducted in Tehran about the attitudes of medical students in a hospital with a transplantation program. MATERIAL AND METHODS: The general population, health care personnel, and medical students were surveyed, and data were extracted from interviews with 41 medical students. The survey included 35 items about attitudes toward brain death and organ transplantation. RESULTS: Nine students (22.0%) had ever seen a transplant recipient, and 7 (17.1%) had ever seen a brain-dead patient. Thirty-four students (82.9%) agreed with organ donation after brain death. Six students (14.6%) had received information through university lectures, and 40 (97.5%) perceived a need for further information about organ donation and brain death in the university curriculum. Nine students (22.0%) had an organ donor card. CONCLUSION: Most Iranian medical students have neither been exposed to brain death or organ recipients nor received appropriate information about organ donation and transplantation.

Issuing donor cards in a single center in Iran: results of the first 3 years.

INTRODUCTION: Issuing an organ donation card has become a goal for procurement units to solve the organ shortage. The number of issued cards is an index of the attitudes or even actions of communities toward brain-dead donations. In the present study, we have reported the characteristics of issuing organ donation cards in a single organ procurement unit in Iran. MATERIALS AND METHODS: This retrospective study used an organ donation willingness database for 3 years after launching the unit. We used the registration data of the first 3 years of its activity from August 1, 2005, to July 31, 2008. For each organ donation volunteer, we extracted demographic data, organs to be donated, and source of their knowledge about the organ donation card system. RESULTS: During the study period, donor cards were issued to 172,290 volunteers; a monthly mean of 4785 registries. Among the total volunteers, 54.2% were females: with 50.7% between 21 to 30 years, 35.2% with an educational level less than a high school diploma, and 35.7% introduced by their friends. The volunteers were more willing to donate heart, kidney, liver, lung, and tissue donations, respectively. Out of the total number of volunteers, 94.1% were willing to donate all organs. An increasing trend was seen in the donation cards issued during the study period. CONCLUSION: Following 3 years of activity, a single center has issued nearly 200,000 cards. The rate at which organ donor cards are issued is increasing, which puts emphasis on establishment of funding for other organ procurement units. This information may be useful to program the field of brain-dead donations in this country.

Organ retrieval from brain-dead patients by a single organ procurement center in Iran.

INTRODUCTION: The majority of transplantations depend solely on cadaveric organs. In recent years, special focus has been directed toward brain-dead patients in Iran, but it seems that there is limited information regarding the characteristics of cadaveric organ donation in our country. MATERIALS AND METHODS: This is a retrospective analysis of data of our Organ Procurement Unit (OPU), which is one of the most active organ procurement units in Iran. We incorporated the data on all organ donations from brain-dead patients between 2004 and 2008 into the present study. Demographic characteristics of the patients along with data regarding brain death and organ donation were extracted from already registered data on patients. RESULTS: Among 93 brain-dead patients registered in the database of the OPU, organs were retrieved from 85% (n = 79). Out of the 14 patients from whom no organ was retrieved, the cause for this failure was death before donation in 85% (n = 12). The numbers of donated organs varied between zero and six (mean +/- standard deviation = 3.1 +/- 1.7). The most donated organs in terms of frequency and count were: right kidney (n = 68; 73.1%), left kidney (n = 67; 72%), liver (n = 63; 67.7%), heart (n = 40; 43%), pancreas (n = 5; 5.4%), and lung (n = 4; 4.3%). DISCUSSION: The overall organ retrieval rate from brain-dead patients by this OPU was comparable to that of developed countries; however, we still believe we can improve this rate/scale.

Lung donation and causes behind its failure: a single-center experience.

INTRODUCTION: Brain-dead patients are almost the only source of organs for lung transplantation, and lungs fall within the area of the least harvested organs. As a result, maintaining the highest possible harvest rate is a must for the lung transplantation system. In the present study, the harvest rate of lungs and also the causes of failure to donate the lungs is reported for brain-dead patients in our organ procurement unit. MATERIALS AND METHODS: After going through the brain-death database at our organ procurement unit between 2004 and 2008, we included all 93 brain deaths in this hospital. The lung donation rate was reviewed to examined the causes for failure to donate lungs. RESULTS: From the total brain-dead patients registered in the database, only 4 (4.6%) patients donated their lungs. The causes of failure to donate a lung were not suitable lungs among 78 (83.8%) because they had an unacceptable oxygen challenge test results (<300 mm Hg). Another 11 patients had acceptable oxygen challenge test results, but donation failed in their case as well due to most frequently to pulmonary aspiration. CONCLUSION: In this center, only a small percentage of lungs are appropriate for harvest in brain-dead patients, because many patients' lungs do not meet the criteria with unacceptable oxygen challenge test results. Patients with proper test results may fail to donate lungs due to pulmonary aspiration. More aggressive care of the patients may have an important role in keeping them in good condition and helping to preserve the organs for harvest. For this purpose, further training of intensive care unit staff and physicians are among the suggested steps to enhance the quality of care, which in turn can maximize the lung harvest rate.

Transplantation research in Iran: a bibliometric study.

BACKGROUND: Scientific articles are indicators of research interest and efforts in every country. The aim of the current study is to describe the characteristics of the transplantation-related research efforts with respect to the domestic published works in Iran between 1993 and 2003. MATERIALS AND METHODS: In a descriptive design, we searched IranMedex (Iranian database for indexing medical articles; available at: http//www.iranmedex.com) for all the biomedical articles published between 1993 and 2003 in 91 Iranian journals. The search was conducted using "transplantation" and "transplant" as key words. A printed copy of the references was reviewed individually so as to identify the transplanted organ, study design, number of authors, and type of article. RESULTS: Among 11371 articles, 545 (4.8%) were related to transplantation. An increasing trend was observed in the number of publications from 1993 to 2003. Most articles were published in Farsi (90%). The most frequently published articles were original articles (84.4%). The main subjects of were kidney (61.7%), followed by liver (12%) and bone marrow transplantation (10.8%). Cornea was the topic of research in only 3% of the papers. Of all manuscripts, 9.5% consisted of clinical trials. The mean number of authors was 3.6 +/- 2.2 (1 to 14). CONCLUSIONS: Iranian researchers seem to be interested in the topic of transplantation; however, some fields of transplantation are neglected. This pooling of valuable information can be used by other countries, especially by researchers from the Middle East Society for Organ Transplantation region. Such databases could form an invaluable network for an exchange of experience in the region to solve common problems.

Kidney transplantation: is there any place for refugees?

There are more than 8 million refugees worldwide with the Middle East bearing the brunt. Socioeconomic factors are the major obstacles that refugees encounter when seeking health care in the host country. It, therefore, comes as no surprise that refugees are denied equal opportunities for one of the most sophisticated and expensive medical procedures in the world, kidney transplantation. With respect to transplantation, refugees are caught between a rock and a hard place: as recipients they have to single-handedly clear many hurdles on the arduous road to renal transplantation and as donors they are left unprotected against human organ trafficking. It should be the moral responsibility of the host country to provide this population with a support network. The ways and means of establishing this network should be defined locally; nevertheless, enabling refugees to receive a transplant is the most basic step, which should be followed by the provision of financial support and follow-up facilities in a concerted effort to ensure the continued function of the invaluable graft. It is also necessary that refugees be protected from being an organ reservoir on the black market. There are no precise regional or international data available on kidney transplantation in refugees; among the Middle East Society for Organ Transplantation countries, only Iran, Saudi Arabia, Pakistan, and Turkey have thus far provided data on their respective kidney transplantation regulations and models. Other countries in the region should follow suit and design models tailored to the local needs and conditions. What could, indubitably, be of enormous benefit in the long term is the establishment of an international committee on transplantation in refugees.

Which primary diagnosis has the highest in-hospital mortality rate for kidney recipients?

OBJECTIVES: Although "in-hospital mortality" for several post-renal transplantation complications has been reported in various studies, there is no single published single-center study that compares their hospital mortality rates. We sought to rank the primary diagnoses post-renal transplantation by means of in-hospital mortality. METHODS: We selected 404 consecutive rehospitalizations following kidney transplantation from 2003 to 2005. The causes of rehospitalization were categorized into infection, allograft rejection, surgical complication, cerebrovascular accidents (CVA), malignancy, medication complications, and miscellaneous. Fatality was defined as the relative frequency of death due to the same cause among all admissions. RESULTS: The mortality rate (MR) was 5.7%. From the 23 cases of death, 17 (74%) had a functioning kidney at the time of death. The MR was 40% for CVA, 14.3% for surgical complications, 11.1% for miscellaneous, 5.3% for drug complications, 7% for infections, and 4.8% for graft rejection (P=.002). No death was observed among cases with a diagnosis of malignancy or nephrolithiasis. Inpatient mortality was higher among those with more than one diagnosis at admission: 42.9% for more than two diagnosis, 7.1% for those with two diagnosis, and 4.2% for those with one diagnosis (P=.001). CONCLUSIONS: The in-patient mortality ranking is totally different from the ranking of causes of death in renal recipients. In other words, infection is the leading cause of death due to high incidence, and not high fatality. More rare complications, including CVA and surgical complications, are more often fatal.

A logistic regression model for predicting health-related quality of life in kidney transplant recipients.

BACKGROUND: To develop a logistic regression model capable of predicting health-related quality of life (HRQOL) among kidney transplant recipients and determine its accuracy. METHODS: Three groups of patients were selected: 70 healthy controls, 136 kidney transplant patients as a derivation set, and another 110 kidney transplant patients as a validation set. SF-36 score was used for HRQOL measurement. A cutoff point to define poor versus good HRQOL was calculated using the SF-36 scores of healthy controls. A logistic regression model was used to derive predictive parameters from the derivation set. The derived model was then tested among the validation set. HRQOL predictions made by the model for the patients in the validation set and the SF-36 scores were compared. We calculated sensitivity, specificity, positive and negative predictive values, and model accuracy. RESULTS: SF-36 scores below 58.8 were defined as an indication of poor HRQOL. The regression model suggested that poor HRQOL was positively associated with lower education (below high school diploma), being single or widowed, and diabetes/hypertension as etiology. It was negatively associated with younger age (<45 years) at the time of transplantation. Optimal sensitivity and specificity were achieved at a cutoff value of 0.74 for the estimated probability of poor HRQOL. Sensitivity, specificity, positive and negative predictive values, and accuracy of the model were 73%, 70%, 80%, 60%, and 72%, respectively. CONCLUSION: The suggested model can be used to predict poor posttransplant HRQOL among renal graft recipients using simple variables with acceptable accuracy. This modal can be of use in decision making in the recipients for whom achieving good HRQOL is the main aim of transplantation, to select high-risk patients and to start interventional programs to prevent a poor HRQOL.

Renal transplantation in Iran over the past two decades: a trend analysis.

BACKGROUND: In this study, we have reported updated statistics of the Iranian Transplantation Registry, the status of the recipients and grafts, and a detailed time trend with respect to patient characteristics. METHODS: We retrospectively reviewed the Iranian Renal Transplantation Registry and information from the Dialysis and Transplant Patients Public Association, to obtain data on all kidney transplantations performed in Iran between 1986 and 2005. Data were gathered regarding the total number of transplantations, graft loss, recipient death, and donor and recipient characteristics, including demographic data, cause of end-stage renal disease (ESRD), and source of kidney. We assessed changes in variables on a biannual basis. RESULTS: A total of 19521 transplantations were registered over the study period, of which, 761 recipients (3.9%) had died and 2333 allografts (11.9%) had been lost. The source of the kidney in 2556 (13%) subjects was a living related donor (LRD), in 16234 (83%) a living unrelated donor (LURD), and in 831 (4%) cadaveric. During the study decades we noted an increase in the number of kidney transplantations (from 22 to 3690), age of recipients (from 30 to 40), male-to-female ratio of recipients (from 0.58 to 0.67), male-to-female ratio of donors (from 0.48 to 0.52), diabetes mellitus (from 0% to 27%), and hypertension (from 4% to 15%), as causes of ESRD, as well as the use of cadaveric kidneys (0% to 11%). CONCLUSION: Analyzing renal transplantation data not only helps to evaluate the effectiveness of transplantation activities in a country, but also provides information to estimate future costs in the health care system.

The cost of kidney transplantation in Iran.

BACKGROUND: Kidney transplantation has gained widespread popularity by improving the outcome of end-stage renal disease (ESRD) patients. However, this is a highly complicated and expensive procedure that puts much pressure on the health system in developing countries. We report the costs in Iran model of kidney transplantation. MATERIALS AND METHODS: We reviewed the regulations for kidney transplantation using Dialysis and Transplant Patients Association (DATPA) information, 2005. All data regarding the cost of transplantation procedure, immunosuppression, and the money given to donors were included. The cost of transplantation procedure was categorized into personnel, drugs, paraclinics, hospital bed, and other expenses. To achieve more comprehensive results, all costs were converted into US dollars (1 USD = 9000 Rials). RESULTS: The total cost of kidney transplantation procedure was $9224. Of this, 65.8% ($6076) was related to the immunosuppression therapy in the first year, 22.2% ($2048) to the transplantation procedure, and 12% ($1100) to organ procurement. The details of donor nephrectomy were as follows: personnel, $183; accommodations, $107; drugs, $39; paraclinics, $23; and other, $22. These values for kidney recipient were personnel, $331; drugs, $367; paraclinics, $278; accommodations, $475; and other, $222. CONCLUSION: Compared with other countries, the kidney transplantation cost is low in Iran. The health system also pays for all the expenses. These, along with full medical insurance coverage of kidney recipients, make kidney transplantation available for every patient, regardless of the socioeconomic status due to its low cost. It is expected that a higher number of transplantation candidates with a low socioeconomic status will select transplantation.

[Transfusion protocols in hematopoietic stem cell allogeneic transplantation]. / Consignes transfusionnelles en cas d'allogreffe de cellules souches hématopoïétiques.

Hematopoietic stem cell (HSC) allogeneic transplantation is now commonly used as a therapeutic tool in patients with certain types of hematologic malignancies. Such patients, on account of severe pre-graft conditioning regimens, present with severe marrow aplasia justifying specific transfusion care. Given a complex immunological situation (immediately after transplantation, co-existence of two cell populations with different immunohematological characteristics), transfusion protocols must rest on clear and well-defined recommendations. Recent transfusion recommendations in settings of HSC allogeneic transplantation have defined criteria for the choice of blood products (red blood cell concentrates, plasma and platelet concentrates) depending on recipient and graft immunohematological characteristics (minor/major/mixed ABO compatibility/incompatibility and time of transplantation). Transfusion instructions are summarized in a synthesis document entitled : "Instructions for transfusion following HSC allogeneic transplantation". This document specifies the immunohematological characteristics of blood products and various transfusion protocols (systematic irradiation, negative CMV, etc.). This document is used by the teams who distribute blood products, for selection purposes, as well as by the medical transfusion team when they perform ultimate pre-transfusion control steps.

[Health care units in the French blood banks, why?]. / Les structures de soins dans les établissements de transfusion sanguine, pourquoi faire ?

In France for several years, many patients have been treated in Blood Transfusion Centers belonging to the EFS. This partnership between public hospitals and EFS is appreciated by the patients who find a competent staff in transfusion and apheresis process, in a more pleasant environment than in hospital. There is a total of 93 Health Care Units in Blood Transfusion Centers. Sixty-three of these Health Care Units perform only transfusions and bleeding. In the remaining 30 Health Care Units apheresis, peripheral blood hematopoietic stem, cell harvesting, plasmatic exchanges and extracorporeal photopheresis are also performed. Despite the perfect fit between hospital needs, comfort and easiness for patients, an economical problem remains. At the present time, the reimbursement rate by national health insurance is below the real cost. If unsolved, this discrepancy could force an end to this beneficial partnership.

Primary kidney disease and post-renal transplantation hospitalization costs.

BACKGROUND AND AIM: This study sought to assess posttransplantation hospitalizations costs in diabetic and nondiabetic subjects to see whether diabetes mellitus (DM) as a primary cause of end-stage renal disease (ESRD) increased posttransplantation hospitalization costs. METHODS: From 2000 to 2005, the hospitalization costs of 387 consecutive rehospitalizations of kidney recipients were retrospectively compared for two groups: patients with ESRD due to DM (n=71) and those with ESRD of non-DM etiologies (n=316). The hospitalization costs included the costs of hotel, medications, surgical procedures, paraclinical tests, imaging tests, health personnel time, special services (ie, patient transportation by ambulance), and miscellaneous costs. Societal perspective was used with costs expressed in PPP$ purchase power parity dollars (PPP$) estimated to be equal to 272 Iranian rials. RESULTS: Compared with the non-DM group, DM patients experienced significantly higher median costs both in total (1262 vs 870 PPP$, P=.001) and in cost components related to hotel (384 vs 215 PPP$, P=.001), health personnel time (235 vs 115 PPP$, P<.001), paraclinical tests (177 vs 149 PPP$, P=.012), and special services (100 vs 74 PPP$, P=.041). The mean of age was higher (P<.001), and the transplantation hospitalization time interval was also shorter in the DM group (median: 2.7 vs 12, P=.025). CONCLUSIONS: Considering DM as a leading cause of ESRD and its increasing prevalence in some countries, the association between hospitalization costs of posttransplant patients and DM may be of great economic importance to many transplantation centers.

Prediction of inpatient survival and graft loss in rehospitalized kidney recipients.

INTRODUCTION: Despite a sizeable amount of research conducted hitherto into predictors of renal transplantation outcomes, there are scarce, data on predictors of in-hospital outcomes of post-kidney transplant rehospitalization. This study sought to provide a user-friendly prediction model for inpatient mortality and graft loss among rehospitalized kidney recipients. METHOD: This retrospective review of 424 consecutive kidney recipients rehospitalized after kidney transplantation between the years 2000 and 2005 used multiple logistic regression analysis to evaluate predictors of hospitalization outcomes. RESULTS: Multivariate analysis showed that age at admission, diabetes mellitus as the cause of end-stage renal disease (ESRD), admission due to cerebrovascular accident (CVA), surgical complications were predictors of in-hospital death; age at transplantation, surgical complications, and rejection were predictors of graft loss. Equation for prediction of in-hospital death was Logit(death) -0.304 * age at transplantation (year) + 0.284 age at admission (year) + 1.621 admission for surgical complication + 4.001 admission for CVA-ischemic heart disease + 2.312 diabetes as cause of ESRD. Equation for prediction of in-hospital death was Logit(graft loss) = 0.041 age at transplantation (year) + 1.184 admission for graft rejection + 1.798 admission for surgical complication. CONCLUSIONS: Our prediction equations, using simple demographic and clinical variables, estimated the probability of inpatient mortality and graft loss among re-hospitalized kidney recipients.

Prolonged rehospitalizations following renal transplantation: causes, risk factors, and outcomes.

BACKGROUND: Although some studies have described rehospitalization after transplantation, few have focused on risk factors and consequences of prolonged hospital stay. Our goal was to determine the causes, risk factors, and outcomes of prolonged rehospitalizations after renal transplantation. PATIENTS AND METHODS: In this retrospective study, 574 randomly selected rehospitalization records of kidney transplant recipients were reviewed from 1994 to 2006. Admissions were divided into group 1, prolonged stay (length of stay >14 days, n=149), and group II, short stay (length of stay 62% of all hospital costs; however, they comprised only 26% of the patients. High-risk kidney transplant recipients for prolonged hospitalizations should be closely observed for infections and graft rejection.

Hospitalization databases: a tool for transplantation monitoring.

INTRODUCTION: We sought to account for changes in posttransplant hospitalization patterns in terms of the changes in demographic and transplantation-related variables. METHODS AND MATERIALS: We retrospectively analyzed 1860 cases of kidney transplantation performed between 1992 and 2004 in terms of demographic and transplantation-related variables. Of the 1860 cases, rehospitalization records in the first year posttransplantation were available for 1152 cases, which were assessed for causes of admission, mortality, graft loss, length of stay, and hospital charges. RESULTS: The pattern of rehospitalizations showed the following trends: (1) Increased rate of infection; (2) Decreased rate of graft rejection; and (3) Peak costs of rehospitalization between 1999 and 2000. CONCLUSION: We believed that the increased infection rate and decreased rejection rate may have been related at least partly to the shift in the treatment protocol from azathioprine-based to mycophenolate mofetil regimens in 2000. Furthermore, the peak in the relative frequency of diabetes mellitus and hypertension as the etiology of end-stage renal disease among those having undergone transplantation between 1999 and 2000 may have been responsible for the peak in rehospitalization costs and length of hospital stay. We are strongly of the opinion that hospital statistics are a valuable tool for health care policymakers to monitor transplantation outcomes.