Prognostic factors for survival in unresectable stage III EGFR mutation-positive lung adenocarcinoma: impact of pre-CCRT PET-CT.

PURPOSE: To assess the survival impact of pre-concurrent chemoradiotherapy (CCRT) staging with positron emission tomography-CT (PET-CT) in patients with unresectable epidermal growth factor receptor (EGFR) mutation-positive adenocarcinoma. METHODS: Patients with unresectable stage IIIA-IIIC EGFR mutation-positive adenocarcinoma undergoing definitive CCRT were divided into two groups: those who received PET-CT staging prior to CCRT and those with other staging methods. Survival outcomes were compared after propensity score matching. RESULTS: Analysis of 11 856 patients (5928 in each group) showed that PET-CT staging was associated with improved survival (adjusted HR of all-cause mortality: 0.74, 95% CI 0.71 to 0.79). Other prognostic factors included male sex, age group, clinical stage, adjuvant treatment, smoking status, Charlson Comorbidity Index score and treatment setting. CONCLUSION: Pre-CCRT staging with PET-CT in patients with unresectable EGFR mutation-positive adenocarcinoma of clinical stage IIIA-IIIC was associated with enhanced survival. Independent prognostic factors were also identified.

Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan.

Respiratory diseases have been global public health problems for a long time. In recent years, air pollutants as important risk factors have drawn lots of attention. In this study, we investigate the influence of $\pm2.5$ (particulate matters in diameter less than 2.5 ${\rm{\mu }} m$) on hospital visit rates for respiratory diseases in Taiwan. To reveal the spatiotemporal pattern of data, we propose a Bayesian disease mapping model with spatially varying coefficients and a parametric temporal trend. Model fitting is conducted using the integrated nested Laplace approximation, which is a widely applied technique for large-scale data sets due to its high computational efficiency. The finite sample performance of the proposed method is studied through a series of simulations. As demonstrated by simulations, the proposed model can improve both the parameter estimation performance and the prediction performance. We apply the proposed model on the respiratory disease data in 328 third-level administrative regions in Taiwan and find significant associations between hospital visit rates and $\pm2.5$.

Protective Effects of Different Classes, Intensity, Cumulative Dose-Dependent of Statins Against Primary Ischemic Stroke in Patients with Type 2 Diabetes Mellitus.

PURPOSE OF REVIEW: The aim of this study is to investigate the protective effects of different statin classes, intensity, and cumulative dose-dependent against primary ischemic stroke in patients with T2DM. RECENT FINDINGS: The Cox hazards model was used to evaluate statin use on primary ischemic stroke. Case group: T2DM patients who received statins; control group: T2DM patients who received no statins during the follow-up. Adjusted hazard ratio (aHR) for primary ischemic stroke was 0.45 (95% CI: 0.44 to 0.46). Cox regression analysis showed significant reductions in primary ischemic stroke incidence in users of different statin classes. Corresponding aHRs (95% CI) were 0.09 to 0.79 for pitavastatin, rosuvastatin, atorvastatin, pravastatin, simvastatin, fluvastatin, and lovastatin. Multivariate analyses indicated significant reductions in primary ischemic stroke incidence for patients who received different cumulative defined daily doses (cDDDs) per year (cDDD-year). Corresponding aHRs (95% CI) were 0.17 to 0.77 for quartiles 4 to 1 of cDDD-years, respectively (P for trend < .0001). Optimal intensity daily dose of statin use was 0.89 DDD with the lowest aHR of primary ischemic stroke compared with other DDDs. Persistent statin use reduces the risk of primary ischemic stroke in T2DM patients. Higher cDDD-year values are associated with higher reductions in primary ischemic stroke risk in T2DM patients.

Long-term outcomes of statin dose, class, and use intensity on primary prevention of cardiovascular mortality: a national T2DM cohort study.

PURPOSE: To investigate how statins reduce cardiovascular mortality in patients with type 2 diabetes (T2DM) in a dose-, class-, and use intensity-dependent manner. METHODS: We used an inverse probability of treatment-weighted Cox hazards model, with statin use status as a time-dependent variable, to estimate the effects of statin use on cardiovascular mortality. RESULTS: Adjusted hazard ratio [aHR; 95% confidence interval (CI)] for cardiovascular mortality was 0.41 (0.39-0.42). Compared with nonusers, pitavastatin, pravastatin, simvastatin, rosuvastatin, atorvastatin, fluvastatin, and lovastatin users demonstrated significant reductions in cardiovascular mortality [aHRs (95% CIs) = 0.11 (0.06, 0.22), 0.35 (0.32, 0.39), 0.36 (0.34, 0.38), 0.39 (0.36, 0.41), 0.42 (0.40, 0.44), 0.46 (0.43, 0.49), and 0.52 (0.48, 0.56), respectively]. In Q1, Q2, Q3, and Q4 of cDDD-year, our multivariate analysis demonstrated significant reductions in cardiovascular mortality [aHRs (95% CIs) = 0.63 (0.6, 0.65), 0.44 (0.42, 0.46), 0.33 (0.31, 0.35), and 0.17 (0.16, 0.19), respectively; P for trend < 0.0001]. The optimal statin dose daily was 0.86 DDD, with the lowest aHR for cardiovascular mortality of 0.43. CONCLUSIONS: Persistent statin use can reduce cardiovascular mortality in patients with T2DM; in particular, the higher is the cDDD-year of statin, the lower is the cardiovascular mortality. The optimal statin dose daily was 0.86 DDD. The priority of protective effects on mortality are pitavastatin, rosuvastatin, pravastatin, simvastatin, atorvastatin, fluvastatin, and lovastatin for the statin users compared with non-statin users.

Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data.

The use of social media has changed since the outbreak of coronavirus disease 2019 (COVID-19). However, little is known about the gender disparity in social media use for nonspecific and health-specific issues before and during the COVID-19 pandemic. Based on a gender difference perspective, this study aimed to examine how the nonspecific and health-specific uses of social media changed in 2017-2020. The data came from the Health Information National Trends Survey Wave 5 Cycle 1-4. This study included 10,426 participants with complete data. Compared to 2017, there were higher levels of general use in 2019 and 2020, and an increased likelihood of health-related use in 2020 was reported among the general population. Female participants were more likely to be nonspecific and health-specific users than males. Moreover, the relationship of gender with general use increased in 2019 and 2020; however, concerning health-related use, it expanded in 2019 but narrowed in 2020. The COVID-19 global pandemic led to increased use of social media, especially for health-related issues among males. These findings further our understanding of the gender gap in health communication through social media, and contribute to targeted messaging to promote health and reduce disparities between different groups during the pandemic.

Survival effect of pretreatment FDG-PET-CT on nasopharyngeal cancer.

BACKGROUND/PURPOSE: Accurate staging is the first step for optimal treatment selection in patients with nasopharyngeal carcinoma (NPC). In this propensity-score-matched, population-based cohort study, we investigated the survival effects of pretreatment 8-fluorodeoxyglucose positron emission tomography-computed tomography (18FDG-PET-CT) on patients with NPC. METHODS: We included patients with stage I-IVA NPC receiving radiotherapy or concurrent chemoradiotherapy and categorized them into two 1:1 propensity score-matched groups according to whether or not they underwent pretreatment 18FDG-PET-CT and compared their outcomes. RESULTS: Of the 10,756 patients, propensity score matching yielded 4366 patients in each group. According to multivariable Cox regression analyses, the most prominent correlation between pretreatment 18FDG-PET-CT and all-cause death was observed in patients with stage II NPC (adjusted hazard ratio [aHR], 0.77; 95% confidence interval [CI], 0.60-0.90; P = .0433), followed by patients with stage III NPC (aHR, 0.81; 95% CI, 0.69-0.94; P = .0071) and patients with stage IVA NPC (aHR, 0.88; 95% CI, 0.79-0.97; P = .0091). This association was not significant in patients with stage I NPC (aHR, 1.20; 95% CI, 0.75-1.93; P = .4426). CONCLUSION: Pretreatment 18FDG-PET-CT is associated with longer survival in patients with clinical stage II-IVA NPC but not in stage I NPC.

Using Transfer Learning of Convolutional Neural Network on Neck Radiographs to Identify Acute Epiglottitis.

Acute epiglottitis (AE) is a life-threatening condition and needs to be recognized timely. Diagnosis of AE with a lateral neck radiograph yields poor reliability and sensitivity. Convolutional neural networks (CNN) are powerful tools to assist the analysis of medical images. This study aimed to develop an artificial intelligence model using CNN-based transfer learning to identify AE in lateral neck radiographs. All cases in this study are from two hospitals, a medical center, and a local teaching hospital in Taiwan. In this retrospective study, we collected 251 lateral neck radiographs of patients with AE and 936 individuals without AE. Neck radiographs obtained from patients without and with AE were used as the input for model transfer learning in a pre-trained CNN including Inception V3, Densenet201, Resnet101, VGG19, and Inception V2 to select the optimal model. We used five-fold cross-validation to estimate the performance of the selected model. The confusion matrix of the final model was analyzed. We found that Inception V3 yielded the best results as the optimal model among all pre-train models. Based on the average value of the fivefold cross-validation, the confusion metrics were obtained: accuracy = 0.92, precision = 0.94, recall = 0.90, and area under the curve (AUC) = 0.96. Using the Inception V3-based model can provide an excellent performance to identify AE based on radiographic images. We suggest using the CNN-based model which can offer a non-invasive, accurate, and fast diagnostic method for AE in the future.

Use of Preoperative FDG PET/CT and Survival of Patients with Resectable Non-Small Cell Lung Cancer.

Background The added value of preoperative PET/CT for the overall survival of patients with resectable non-small cell lung cancer (NSCLC) is unknown. Purpose To investigate the association of the use of preoperative PET/CT on survival of patients with resectable stage I-IIIB NSCLC. Materials and Methods In this retrospective study, patients with resectable stage I-IIIB NSCLC who underwent thoracic surgery from January 1, 2009, to December 31, 2018, from the Taiwan Cancer Registry were included. The last follow-up date was December 31, 2019. Patients were categorized into two groups according to whether they underwent preoperative metabolic imaging with fluorine 18 fluorodeoxyglucose PET/CT. Patients who did not undergo preoperative imaging were used as the control group. The primary outcome of interest was all-cause mortality. Patients in both groups were propensity score matched at a ratio of 1:1. Matching variables used were sex, age, histologic findings, American Joint Committee on Cancer clinical stage, cT stage, cN stage, current and past smoker history, adjuvant chemotherapy, adjuvant chemoradiation, Charlson comorbidity index, and hospital type. Survival curves were generated using the Kaplan-Meier method and compared using the log-rank test. Results In the matched cohort, 6754 patients (3349 men, mean age ± SD: 64 years ± 11) underwent PET/CT and 6754 did not (3362 men, mean age: 64 years ± 11). In adjusted analysis, patients with stage IIIA or IIIB NSCLC and preoperative PET/CT had a lower risk of death versus those without PET/CT (for stage IIIA: hazard ratio [HR] = 0.90 [95% CI: 0.79, 0.94], P = .02; for stage IIIB: HR = 0.80 [95% CI: 0.71, 0.90], P < .01). There was no improvement in a lower risk of death for patients with stage I-II NSCLC (after multivariable adjustment, the HR was 1.19 [95% CI: 0.89, 1.30], P = .65). Conclusion Use of preoperative PET/CT was associated with lower risk of death in patients with stage IIIA-IIIB non-small cell lung cancer compared with those without preoperative PET/CT. © RSNA, 2022 Online supplemental material is available for this article.

Effect of Preexisting Sarcopenia on Acute and Late Postoperative Pneumonia Among Patients With Oral Cavity Squamous Cell Carcinoma.

BACKGROUND: Whether preexisting sarcopenia is an independent risk factor for postoperative pneumonia (POP) for patients with oral cavity squamous cell carcinoma (OCSCC) remains unclear. Therefore, we conducted a propensity score-matched population-based cohort study to compare the risk of acute and late POP for patients with sarcopenic and nonsarcopenic OCSCC who underwent curative surgery. PATIENTS AND METHODS: We included patients with OCSCC who underwent curative surgery and categorized them into 2 groups depending on whether they had preexisting sarcopenia. The patients in the sarcopenic and nonsarcopenic groups were matched at a ratio of 2:1. RESULTS: The matching process yielded 16,257 patients (10,822 without sarcopenia and 5,435 with sarcopenia). In multivariate Cox regression analyses, the adjusted hazard ratio of POP for the group with OCSCC with preexisting sarcopenia was 1.20 (95% CI, 1.14-1.26; P<.0001) compared with the nonsarcopenic group. Among the patients with OCSCC who received curative surgery, those in the sarcopenic group exhibited a higher POP risk than those in the nonsarcopenic group for the following postoperative time periods: 31st to 90th day, 91st day to first year, first to second year, second to third year, third to fourth year, and fourth to fifth year. CONCLUSIONS: The high incidence of pneumonia persists for a long time in patients with OCSCC who receive curative surgery; this high incidence may even persist for 5 years after surgery, especially in patients with sarcopenia. For susceptible patients who are at risk for OCSCC, sarcopenia prevention measures (eg, exercise and early nutrition intervention) should be implemented.

Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study.

BACKGROUND: The use of social media in communications regarding cancer prevention is rapidly growing. However, less is known about the general population's social media use related to cancer screening awareness and behavior for different cancers. OBJECTIVE: We aimed to examine the relationship between social media use and cancer screening awareness and behavior among people without a cancer diagnosis. METHODS: Data were collected from the Health Information National Trends Survey 5 Cycle 1 to 3 in the United States (n=12,227). Our study included 10,124 participants without a cancer diagnosis and 3 measures of screening awareness (those who had heard of hepatitis C virus [HCV], human papillomavirus [HPV], and the HPV vaccine) and 4 measures of behavior (those who had prostate-specific antigen tests, Papanicolaou tests for cervical cancer, as well as breast cancer and colon cancer tests). Propensity-score matching was conducted to adjust for the sociodemographic variables between the social media user and nonuser participants. Multivariable logistic regression was used to assess the association of social media use by gender. Jackknife replicate weights were incorporated into the analyses. RESULTS: Of the 3794 matched participants, 1861 (57.6% weighted) were male, and the mean age was 55.5 (SD 0.42) years. Compared to social media nonusers, users were more likely to have heard of HCV (adjusted odds ratio [aOR]=2.27, 95% CI, 1.29-3.98 and aOR=2.86, 95% CI, 1.51-5.40, for male and female users, respectively) and HPV (aOR=1.82, 95% CI, 1.29-2.58 and aOR=2.35, 95% CI, 1.65-3.33, for male and female users, respectively). In addition, female users were more likely to have heard of the HPV vaccine (aOR=2.06, 95% CI, 1.41-3.00). No significant associations were found between social media use and prostate-specific antigen tests in males, Papanicolaou tests and breast cancer tests in females, or colon cancer tests in both male and female users. CONCLUSIONS: While social media services can potentially promote cancer screening awareness in the general population, but they did not improve screening behavior after adjusting for socioeconomic status. These findings strengthened our understanding of social media use in targeting health communications for different cancers.

Characterization of Fecal Microbiota with Clinical Specimen Using Long-Read and Short-Read Sequencing Platform.

Accurate and rapid identification of microbiotic communities using 16S ribosomal (r)RNA sequencing is a critical task for expanding medical and clinical applications. Next-generation sequencing (NGS) is widely considered a practical approach for direct application to communities without the need for in vitro culturing. In this report, a comparative evaluation of short-read (Illumina) and long-read (Oxford Nanopore Technologies (ONT)) platforms toward 16S rRNA sequencing with the same batch of total genomic DNA extracted from fecal samples is presented. Different 16S gene regions were amplified, bar-coded, and sequenced using the Illumina MiSeq and ONT MinION sequencers and corresponding kits. Mapping of the sequenced amplicon using MinION to the entire 16S rRNA gene was analyzed with the cloud-based EPI2ME algorithm. V3-V4 reads generated using MiSeq were aligned by applying the CLC genomics workbench. More than 90% of sequenced reads generated using distinct sequencers were accurately classified at the genus or species level. The misclassification of sequenced reads at the species level between the two approaches was less substantial as expected. Taken together, the comparative results demonstrate that MinION sequencing platform coupled with the corresponding algorithm could function as a practicable strategy in classifying bacterial community to the species level.

Correction to: Increased risk of tinnitus following a trigeminal neuralgia diagnosis: a one-year follow-up study.

An amendment to this paper has been published and can be accessed via the original article.

Persistence of pregabalin treatment in Taiwan: a nation-wide population-based study.

BACKGROUND: Pregabalin is approved for the treatment of neuropathic pain, fibromyalgia, and seizure disorders, although the pivotal trials were mostly carried out in Europe or North America. The prescribing patterns among different indications in Asia have rarely been explored. METHODS: This was a population-based retrospective cohort study based on the National Health Insurance Research Database in Taiwan. Prescriptions of pregabalin were identified, and data regarding demographics, indications, co-existing diagnoses, and concomitant medications were extracted. Pregabalin users were followed for at least one year, and factors associated with persistence at one year were determined by using multivariate logistic regression analysis. RESULTS: Between June 2012 and December 2016, 114,437 pregabalin users (mean age 60.7 ± 15.4 years, 57.8% female) were identified. The indications included post-herpetic neuralgia (PHN) (30.5%), musculoskeletal diseases other than fibromyalgia (21.2%), fibromyalgia (18.4%), diabetic peripheral neuropathic pain (DPNP) (11.7%) and epilepsy (2.9%). Overall, 62.5% and 6.4% of patients achieved a maximum dose of ≥150 and ≥ 300 mg/day, respectively. The median duration of persistent pregabalin use was 28 days (interquartile range 14-118 days). The one-year persistence rate was 12.1%, and the indications associated with the highest and lowest persistence rates were epilepsy (42.4%) and PHN (6.1%), respectively. Male gender (odds ratio [OR] 1.14, 95% confidence interval [CI] 1.09-1.18), older age (OR 1.01 per year, 95% CI 1.01-1.01), indications other than PHN, especially epilepsy (OR 8.04, 95% CI 7.33-8.81, PHN as reference), and a higher initial dose (OR 1.12 per 75 mg, 95% CI = 1.10-1.15) were associated with persistence at one year, whereas the initial concomitant use of antiviral agents decreased the likelihood (OR 0.41, 95% CI 0.35-0.47). CONCLUSIONS: Pregabalin prescriptions for pain disorders were limited to short-term use, which is consistent around the world. However, the average prescribed dose in Taiwan was lower than those in Western countries, and was frequently below the recommended ranges. Potential causes included the duration of natural history of PHN, and off-label prescriptions for pain in acute herpes zoster, rather than PHN, as well as intolerance to the side effects.

Increased risk of tinnitus following a trigeminal neuralgia diagnosis: a one-year follow-up study.

BACKGROUND: Tinnitus due to hyperactivity across neuronal ensembles along the auditory pathway is reported. We hypothesized that trigeminal neuralgia patients may subsequently suffer from tinnitus. Using nationwide, population-based data and a retrospective cohort study design, we investigated the risk of tinnitus within 1 year following trigeminal neuralgia. METHODS: We used the Taiwan National Health Insurance Research Dataset, a claims database, to identify all patients diagnosed with trigeminal neuralgia from January 2001 to December 2014, 12,587 patients. From the remaining patients, we identified 12,587 comparison patients without trigeminal neuralgia by propensity score matching, using sex, age, monthly income, geographic region, residential urbanization level, and tinnitus-relevant comorbidities (hyperlipidemia, diabetes, coronary heart disease, hypertension, cervical spondylosis, temporomandibular joint disorders and injury to head and neck and index year). All study patients (n = 25,174) were tracked for a one-year period to identify those with a subsequent diagnosis of tinnitus over 1-year follow-up. RESULTS: Among total 25,174 sample patients, the incidence of tinnitus was 18.21 per 100 person-years (95% CI = 17.66 ~ 18.77), the rate being 23.57 (95% CI = 22.68 ~ 24.49) among patients with trigeminal neuralgia and 13.17 (95% CI = 12.53 ~ 13.84) among comparison patients. Furthermore, the adjusted Cox proportional hazard ratio for tinnitus in the trigeminal neuralgia group was 1.68 (95% CI = 1.58 ~ 1.80) relative to the comparison cohort. CONCLUSIONS: We found a significantly increased risk of tinnitus within 1 year of trigeminal neuralgia diagnosis compared to those without the diagnosis. Further studies in other countries and ethnicities are needed to explore the relationship between trigeminal neuralgia and subsequent tinnitus.

Promoting similarity of model sparsity structures in integrative analysis of cancer genetic data.

In profiling studies, the analysis of a single dataset often leads to unsatisfactory results because of the small sample size. Multi-dataset analysis utilizes information of multiple independent datasets and outperforms single-dataset analysis. Among the available multi-dataset analysis methods, integrative analysis methods aggregate and analyze raw data and outperform meta-analysis methods, which analyze multiple datasets separately and then pool summary statistics. In this study, we conduct integrative analysis and marker selection under the heterogeneity structure, which allows different datasets to have overlapping but not necessarily identical sets of markers. Under certain scenarios, it is reasonable to expect some similarity of identified marker sets - or equivalently, similarity of model sparsity structures - across multiple datasets. However, the existing methods do not have a mechanism to explicitly promote such similarity. To tackle this problem, we develop a sparse boosting method. This method uses a BIC/HDBIC criterion to select weak learners in boosting and encourages sparsity. A new penalty is introduced to promote the similarity of model sparsity structures across datasets. The proposed method has a intuitive formulation and is broadly applicable and computationally affordable. In numerical studies, we analyze right censored survival data under the accelerated failure time model. Simulation shows that the proposed method outperforms alternative boosting and penalization methods with more accurate marker identification. The analysis of three breast cancer prognosis datasets shows that the proposed method can identify marker sets with increased similarity across datasets and improved prediction performance. Copyright © 2016 John Wiley & Sons, Ltd.

The Application and Future of Big Database Studies in Cardiology: A Single-Center Experience.

As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women's heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.

Erectile Dysfunction Is Not a Predictor of Atrial Fibrillation: A Population-Based Propensity-Score Matched Cohort Study.

INTRODUCTION: Erectile dysfunction (ED) has been regarded a marker of cardiovascular diseases. Nevertheless, the association between ED and incident atrial fibrillation (AF) remains unknown. AIM: To determine the association between ED and incident AF. METHODS: This population-based cohort study was conducted using the National Health Insurance Research Database in Taiwan. In total, 6,273 of patients with ED without a prior diagnosis of AF were enrolled from January 1, 2001 through December 31, 2009, and a propensity-score matching method was used to identify 3,516 patients in the ED and control groups. MAIN OUTCOME MEASURES: Newly incident AF at follow-up was recorded as the end point. RESULTS: The mean age of the study population was 40.0 ± 17.1 years, and the follow-up period was 8.0 ± 0.5 years. Compared with the control group, patients with ED were older and had more of the following comorbidities: D'Hoore Charlson Comorbidity Index, hypertension, congestive heart failure, diabetes mellitus, dyslipidemia, chronic kidney disease, coronary artery disease, stroke, chronic lung disease, major depression disorder, obstructive sleep apnea, and hyperthyroidism. After adjusting for confounders, the ED group was not associated with more incident AF compared with the control group (hazard ratio = 1.031, 95% confidence interval = 0.674-1.578, P =.888). In these patients, ED of an organic origin was associated with a trend of having AF more often compared with ED of a psychosexual type (P =.272 by log-rank test). CONCLUSION: Although ED is known as a predictor of atherosclerotic cardiovascular diseases, it is not independently associated with incident AF in men.

Comparison of extracorporeal shock wave lithotripsy running models between outsourcing cooperation and rental cooperation conducted in Taiwan.

BACKGROUND/PURPOSE: We conducted a retrospective study to compare the cost and effectiveness between two different running models for extracorporeal shock wave lithotripsy (SWL), including the outsourcing cooperation model (OC) and the rental cooperation model (RC). METHODS: Between January 1999 and December 2005, we implemented OC for the SWL, and from January 2006 to October 2011, RC was utilized. With OC, the cooperative company provided a machine and shared a variable payment with the hospital, according to treatment sessions. With RC, the cooperative company provided a machine and received a fixed rent from the hospital. We calculated the cost of each treatment session, and evaluated the break-even point to estimate the lowest number of treatment sessions to make the balance between revenue and cost every month. Effectiveness parameters, including the stone-free rate, the retreatment rate, the rate of additional procedures and complications, were evaluated. RESULTS: Compared with OC there were significantly less treatment sessions for RC every month (42.6±7.8 vs. 36.8±6.5, p=0.01). The cost of each treatment session was significantly higher for OC than for RC (751.6±20.0 USD vs. 684.7±16.7 USD, p=0.01). The break-even point for the hospital was 27.5 treatment sessions/month for OC, when the hospital obtained 40% of the payment, and it could be reduced if the hospital got a greater percentage. The break-even point for the hospital was 27.3 treatment sessions/month for RC. No significant differences were noticed for the stone-free rate, the retreatment rate, the rate of additional procedures and complications. CONCLUSION: Our study revealed that RC had a lower cost for every treatment session, and fewer treatment sessions of SWL/month than OC. The study might provide a managerial implication for healthcare organization managers, when they face a situation of high price equipment investment.

Patients with migraine are right about their perception of temperature as a trigger: time series analysis of headache diary data.

BACKGROUND: Researches to date on the association between headache and weather have yielded inconsistent results. Only a limited number of studies have examined the clinical significance of self-reported weather sensitivity. This study aimed to identify the difference in the association of headache with temperature between migraine patients with and without temperature sensitivity. METHODS: 66 migraine patients (75.8 % female; mean age 43.3 ± 12.9 years) provided their 1-year headache diaries from 2007 to a headache clinic in Taipei, Taiwan. 34 patients (51.5 %) reported sensitivity to temperature change but 32 (48.5 %) did not. Time series of daily headache incidence was modeled and stratified by temperature sensitivity. Empirical mode decomposition was used to identify temporal weather patterns that were correlated to headache incidence, and regression analysis was used to examine the amount of variance in headache incidence that could be explained by temperature in different seasons. RESULTS: Among all migraine patients, temperature change accounted for 16.5 % of variance in headache incidence in winter and 9.6 % in summer. In winter, the explained variance increased to 29.2 % among patients with temperature sensitivity, but was not significant among those without temperature sensitivity. Overall, temperature change explained 27.0 % of the variance of the mild headache incidence but only 4.8 % of the incidence of moderate to severe headache during winter. CONCLUSIONS: This diary-based study provides evidence to link the perception of temperature sensitivity and headache incidence in migraine patients. Those who reported temperature sensitivity are more likely to have headache increase during the winter, particular for mild headaches.