Assessment of the impact of resting heart rate on the risk of major adverse cardiovascular events after ischemic stroke: a retrospective observational study.

BACKGROUND: Although elevated heart rate is a risk factor for cardiovascular morbidity and mortality in healthy people, the association between resting heart rate and major cardiovascular risk in patients after acute ischemic stroke remains debated. This study evaluated the association between heart rate and major adverse cardiovascular events after ischemic stroke. METHODS: We conducted a retrospective cohort study analyzing data from the Chang Gung Research Database for 21,655 patients with recent ischemic stroke enrolled between January 1, 2010, and September 30, 2018. Initial in-hospital heart rates were averaged and categorized into 10-beats per minute (bpm) increments. The primary outcome was the composite of hospitalization for recurrent ischemic stroke, myocardial infarction, or all-cause mortality. Secondary outcomes were hospitalization for recurrent ischemic stroke, myocardial infarction, and heart failure. Hazard ratios and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, using the heart rate < 60 bpm subgroup as the reference. RESULTS: After a median follow-up of 3.2 years, the adjusted hazard ratios for the primary outcome were 1.13 (95% CI: 1.01 to 1.26) for heart rate 60-69 bpm, 1.35 (95% CI: 1.22 to 1.50) for heart rate 70-79 bpm, 1.64 (95% CI: 1.47 to 1.83) for heart rate 80-89 bpm, and 2.08 (95% CI: 1.85 to 2.34) for heart rate ≥ 90 bpm compared with the reference group. Heart rate ≥ 70 bpm was associated with increased risk of all secondary outcomes compared with the reference group except heart failure.  CONCLUSIONS: Heart rate is a simple measurement with important prognostic implications. In patients with ischemic stroke, initial in-hospital heart rate was associated with major adverse cardiovascular events.

A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart.

In this study, we implemented a combination of data augmentation and artificial intelligence (AI) model-Convolutional Neural Network (CNN)-to help physicians classify colonic polyps into traditional adenoma (TA), sessile serrated adenoma (SSA), and hyperplastic polyp (HP). We collected ordinary endoscopy images under both white and NBI lights. Under white light, we collected 257 images of HP, 423 images of SSA, and 60 images of TA. Under NBI light, were collected 238 images of HP, 284 images of SSA, and 71 images of TA. We implemented the CNN-based artificial intelligence model, Inception V4, to build a classification model for the types of colon polyps. Our final AI classification model with data augmentation process is constructed only with white light images. Our classification prediction accuracy of colon polyp type is 94%, and the discriminability of the model (area under the curve) was 98%. Thus, we can conclude that our model can help physicians distinguish between TA, SSA, and HPs and correctly identify precancerous lesions such as TA and SSA.

Cancer survivorship and risk of pregnancy complications, adverse obstetric outcomes, and maternal morbidities in female adolescents and young adults: a nationwide population-based study from Taiwan.

BACKGROUND: Cancer treatment in female adolescent and young adult (AYA) cancer survivors (i.e., those diagnosed between 15 and 39 years of age) may adversely affect multiple bodily functions, including the reproductive system. METHODS: We initially assembled a retrospective, nationwide population-based cohort study by linking data from two nationwide Taiwanese data sets. We subsequently identified first pregnancies and singleton births to AYA cancer survivors (2004-2018) and select AYA without a previous cancer diagnosis matched to AYA cancer survivors for maternal age and infant birth year. RESULTS: The study cohort consisted of 5151 and 51,503 births to AYA cancer survivors and matched AYA without a previous cancer diagnosis, respectively. The odds for overall pregnancy complications (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.01-1.18) and overall adverse obstetric outcomes (OR, 1.07; 95% CI, 1.01-1.13) were significantly increased in survivors compared with matched AYA without a previous cancer diagnosis. Specifically, cancer survivorship was associated with an increased risk of preterm labour, labour induction, and threatened abortion or threatened labour requiring hospitalisation. CONCLUSIONS: AYA cancer survivors are at increased risk for pregnancy complications and adverse obstetric outcomes. Efforts to integrate individualised care into clinical guidelines for preconception and prenatal care should be thoroughly explored.

Deep Learning-Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma.

Blastoid/pleomorphic morphology is associated with short survival in mantle cell lymphoma (MCL), but its prognostic value is overridden by Ki-67 in multivariate analysis. Herein, a nuclear segmentation model was developed using deep learning, and nuclei of tumor cells in 103 MCL cases were automatically delineated. Eight nuclear morphometric attributes were extracted from each nucleus. The mean, variance, skewness, and kurtosis of each attribute were calculated for each case, resulting in 32 morphometric parameters. Compared with those in classic MCL, 17 morphometric parameters were significantly different in blastoid/pleomorphic MCL. Using univariate analysis, 16 morphometric parameters (including 14 significantly different between classic and blastoid/pleomorphic MCL) emerged as significant prognostic factors. Using multivariate analysis, Biologic MCL International Prognostic Index (bMIPI) risk group (P = 0.025), low skewness of nuclear irregularity (P = 0.020), and high mean of nuclear irregularity (P = 0.047) emerged as independent adverse prognostic factors. Additionally, a morphometric score calculated from the skewness and mean of nuclear irregularity (P = 0.0038) was an independent prognostic factor in addition to bMIPI risk group (P = 0.025), and a summed morphometric bMIPI score was useful for risk stratification of patients with MCL (P = 0.000001). These results demonstrate, for the first time, that a nuclear morphometric score is an independent prognostic factor in MCL. It is more robust than blastoid/pleomorphic morphology and can be objectively measured.

Fetal-neonatal and maternal outcomes in women with Sjögren syndrome: a population-based registry linkage study.

OBJECTIVE: To provide better preconceptional and prenatal counselling to patients with sjögren syndrome (SS). METHODS: In total, 2 100 143 pregnancies between 2004 and 2014 were identified in the Taiwan National Health Insurance database and birth registry. The maternal history of SS was ascertained, and data were compared between pregnant women with and without SS. We assessed the odds ratios and 95% CIs of fetal-neonatal and maternal outcomes. RESULTS: There were 449 pregnancies in women with SS and 2 099 694 pregnancies in women without SS. The risks of still birth [odds ratio (OR) = 2.14, 95% CI = 1.01, 4.55], low birth weight (<2500 g, OR = 2.53, 95% CI = 1.92, 3.33), small for gestational age (OR = 2.03, 95% CI = 1.57, 2.03) and fetal distress (OR = 1.72, 95% CI = 1.2, 2.45) as well as maternal risks of pulmonary oedema (OR = 11.64, 95% CI = 1.62, 83.48), shock (OR = 6.07, 95% CI = 1.51, 24.3) and respiratory distress (OR = 5.61, 95% CI = 1.39, 22.6) were higher in the SS group than in the non-SS group. CONCLUSION: Women with SS have significant risks of adverse fetal-neonatal and maternal outcomes and must undergo prenatal counselling to understand the risks involved before conception.

Cardiovascular outcomes in patients with atrial fibrillation concomitantly treated with antiarrhythmic drugs and non-vitamin k antagonist oral anticoagulants.

AIMS: Limited data compared antiarrhythmic drugs (AADs) with concomitant non-vitamin K antagonist oral anticoagulants in atrial fibrillation patients, hence the aim of the study. METHODS AND RESULTS: National health insurance database were retrieved during 2012-17 for study. We excluded patients not taking AADs, bradycardia, heart block, heart failure admission, mitral stenosis, prosthetic valve, incomplete demographic data, and follow-up <3 months. Outcomes were compared in Protocol 1, dronedarone vs. non-dronedarone; Protocol 2, dronedarone vs. amiodarone; and Protocol 3, dronedarone vs. propafenone. Outcomes were acute myocardial infarction (AMI), ischaemic stroke/systemic embolism, intracranial haemorrhage (ICH), major bleeding, cardiovascular death, all-cause mortality, and major adverse cardiovascular event (MACE) (including AMI, ischaemic stroke, and cardiovascular death). In Protocol 1, 2298 dronedarone users and 6984 non-dronedarone users (amiodarone = 4844; propafenone = 1914; flecainide = 75; sotalol = 61) were analysed. Dronedarone was associated with lower ICH (HR = 0.61, 95% CI = 0.38-0.99, P = 0.0436), cardiovascular death (HR = 0.24, 95% CI = 0.16-0.37, P < 0.0001), all-cause mortality (HR = 0.33, 95% CI = 0.27-0.42, P < 0.0001), and MACE (HR = 0.56, 95% CI = 0.45-0.70, P < 0.0001). In Protocol 2, 2231 dronedarone users and 6693 amiodarone users were analysed. Dronedarone was associated with significantly lower ICH (HR = 0.53, 95%=CI 0.33-0.84, P = 0.0078), cardiovascular death (HR = 0.20, 95% CI = 0.13-0.31, P < 0.0001), all-cause mortality (HR 0.27, 95% CI 0.22-0.34, P < 0.0001), and MACE (HR = 0.53, 95% CI = 0.43-0.66, P < 0.0001), compared with amiodarone. In Protocol 3, 812 dronedarone users and 2436 propafenone users were analysed. There were no differences between two drugs for primary and secondary outcomes. CONCLUSION: The use of dronedarone with NOACs was associated with cardiovascular benefits in an Asian population, compared with non-dronedarone AADs and amiodarone.

Can a Deep Learning Algorithm Improve Detection of Occult Scaphoid Fractures in Plain Radiographs? A Clinical Validation Study.

BACKGROUND: Occult scaphoid fractures on initial radiographs of an injury are a diagnostic challenge to physicians. Although artificial intelligence models based on the principles of deep convolutional neural networks (CNN) offer a potential method of detection, it is unknown how such models perform in the clinical setting. QUESTIONS/PURPOSES: (1) Does CNN-assisted image interpretation improve interobserver agreement for scaphoid fractures? (2) What is the sensitivity and specificity of image interpretation performed with and without CNN assistance (as stratified by type: normal scaphoid, occult fracture, and apparent fracture)? (3) Does CNN assistance improve time to diagnosis and physician confidence level? METHODS: This survey-based experiment presented 15 scaphoid radiographs (five normal, five apparent fractures, and five occult fractures) with and without CNN assistance to physicians in a variety of practice settings across the United States and Taiwan. Occult fractures were identified by follow-up CT scans or MRI. Participants met the following criteria: Postgraduate Year 3 or above resident physician in plastic surgery, orthopaedic surgery, or emergency medicine; hand fellows; and attending physicians. Among the 176 invited participants, 120 completed the survey and met the inclusion criteria. Of the participants, 31% (37 of 120) were fellowship-trained hand surgeons, 43% (52 of 120) were plastic surgeons, and 69% (83 of 120) were attending physicians. Most participants (73% [88 of 120]) worked in academic centers, whereas the remainder worked in large, urban private practice hospitals. Recruitment occurred between February 2022 and March 2022. Radiographs with CNN assistance were accompanied by predictions of fracture presence and gradient-weighted class activation mapping of the predicted fracture site. Sensitivity and specificity of the CNN-assisted physician diagnoses were calculated to assess diagnostic performance. We calculated interobserver agreement with the Gwet agreement coefficient (AC1). Physician diagnostic confidence was estimated using a self-assessment Likert scale, and the time to arrive at a diagnosis for each case was measured. RESULTS: Interobserver agreement among physicians for occult scaphoid radiographs was higher with CNN assistance than without (AC1 0.42 [95% CI 0.17 to 0.68] versus 0.06 [95% CI 0.00 to 0.17], respectively). No clinically relevant differences were observed in time to arrive at a diagnosis (18 ± 12 seconds versus 30 ± 27 seconds, mean difference 12 seconds [95% CI 6 to 17]; p < 0.001) or diagnostic confidence levels (7.2 ± 1.7 seconds versus 6.2 ± 1.6 seconds; mean difference 1 second [95% CI 0.5 to 1.3]; p < 0.001) for occult fractures. CONCLUSION: CNN assistance improves physician diagnostic sensitivity and specificity as well as interobserver agreement for the diagnosis of occult scaphoid fractures. The differences observed in diagnostic speed and confidence is likely not clinically relevant. Despite these improvements in clinical diagnoses of scaphoid fractures with the CNN, it is unknown whether development and implementation of such models is cost effective. LEVEL OF EVIDENCE: Level II, diagnostic study.

Comorbidities of systemic lupus erythematosus prior to and following diagnosis in different age-at-onset groups.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a female-dominated autoimmune disease that can occur at any age and has a diverse course. The clinical manifestation of this disease can vary depending on the patient's age at onset. The aim of this study was to characterise the comorbidities at the time of SLE diagnosis and after in different age groups. METHODS: A total 1042 incident cases of SLE with a Catastrophic Illness Card in 2005 and 10,420 age- and sex-matched controls from the general population registered in the National Health Insurance Research Database in Taiwan were enrolled in the study. The risk of comorbidities before (adjusted odds ratio, [aOR]) and after (adjusted hazard ratio, [aHR]) of SLE was analysed. The burden of these SLE-associated comorbidities was weight by the Charlson comorbidity index (CCI). We used the cumulative incidence to evaluate the impact of comorbidities on different age onset groups. RESULTS: In this study, musculoskeletal diseases had the highest positive association (aOR, 5.29; 95% confidence interval [CI]: 4.25-6.57) prior to the diagnosis of SLE and they were also the most common developing incident comorbidity after the diagnosis (HR, 13.7; 95% CI: 11.91-15.77). It only took less than 1 year for 50% of the late-onset SLE patients to develop any increase in CCI score. The developing comorbidities attributed to 16.3% all-cause mortality and they had the greatest impact on late-onset SLE patients, with 33.3% cumulative incidence to all-cause mortality. There is no difference in the incidence of infectious diseases across different age groups. The herpes zoster infection had the greatest cumulative incidence among the category of infection diseases in child-onset SLE patients. CONCLUSION: SLE patients had increased risks of multiple pre-existing comorbidities at diagnosis. The developed comorbidity after diagnosis could contribute to all-cause mortality. The herpes zoster infection is primarily an issue in child-onset SLE patients.

End-to-end interstitial fibrosis assessment of kidney biopsies with a machine learning-based model.

BACKGROUND: The extent of interstitial fibrosis in the kidney not only correlates with renal function at the time of biopsy but also predicts future renal outcome. However, its assessment by pathologists lacks good agreement. The aim of this study is to construct a machine learning-based model that enables automatic and reliable assessment of interstitial fibrosis in human kidney biopsies. METHODS: Validated cortex, glomerulus and tubule segmentation algorithms were incorporated into a single model to assess the extent of interstitial fibrosis. The model performances were compared with expert renal pathologists and correlated with patients' renal functional data. RESULTS: Compared with human raters, the model had the best agreement [intraclass correlation coefficient (ICC) 0.90] to the reference in 50 test cases. The model also had a low mean bias and the narrowest 95% limits of agreement. The model was robust against colour variation on images obtained at different times, through different scanners, or from outside institutions with excellent ICCs of 0.92-0.97. The model showed significantly better test-retest reliability (ICC 0.98) than humans (ICC 0.76-0.94) and the amount of interstitial fibrosis inferred by the model strongly correlated with 405 patients' serum creatinine (r = 0.65-0.67) and estimated glomerular filtration rate (r = -0.74 to -0.76). CONCLUSIONS: This study demonstrated that a trained machine learning-based model can faithfully simulate the whole process of interstitial fibrosis assessment, which traditionally can only be carried out by renal pathologists. Our data suggested that such a model may provide more reliable results, thus enabling precision medicine.

Breast cancer-related lymphedema correlated with incidence of cellulitis and mortality.

BACKGROUND: This study investigated breast cancer-related lymphedema (BCRL) and its correlation with the incidence of cellulitis and mortality in the National Health Insurance (NHI) database in Taiwan. METHODS: Between 2004 and 2014, the NHI database of patients with breast cancer who underwent surgical procedures, adjuvant therapies, BCRL, cellulitis, and mortality were retrospectively reviewed. Cox regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incidence of BCRL and cellulitis in different treatment groups. The associations of BCRL with the incidence of cellulitis and mortality were further analyzed using the Kaplan-Meier curve. RESULTS: Among 100 301 patients, 5464 (5.4%) developed BCRL with a median onset of 1.3 years. At a mean follow-up of 4.77 years, the incidence of cellulitis in the BCRL group (12.7%, 694/5464 patients) was significantly higher than in the no-BCRL group (2.73%, 2589/94 837 patients) (HR: 3.74; 95% CI: 3.43-4.08; p < 0.0001). At a mean follow-up of 5.77 years, the mortality rate in the cellulitis group (34.21%, 1123/3283 patients) was significantly greater than in the no-cellulitis group (16.29%, 15 804/97 018 patients) (HR: 1.17; 95% CI: 1.1-1.24; p < 0.0001). CONCLUSIONS: BCRL had a significantly higher incidence of cellulitis and mortality.

Incidence and prevalence of Tourette syndrome and chronic tic disorders in Taiwan: a nationwide population-based study.

PURPOSE: The incidence of Tourette syndrome and chronic tic disorders has seldom been evaluated in Asia. METHODS: Using the National Taiwan Insurance Research Database, the annual standardized incidence and prevalence of Tourette syndrome (TS) and chronic tic disorders were estimated from 2007 to 2015. The pre-existing comorbidity at disease diagnosis was also evaluated. RESULTS: From 2007 to 2015, the age- and sex-standardized incidence increased from 5.34 (95% confidence interval [CI] 5.06-5.62) per 100,000 person-years to 6.87 (95% CI 6.53-7.21) per 100,000 person-years. In children and adolescents, the age- and sex-standardized incidence increased from 19.58 (95% CI 18.42-20.75) per 100,000 person-years to 31.79 (95% CI 30.09-33.49) per 100,000 person-years. In adults, the age- and sex-standardized incidence decreased from 2.01 (95% CI 1.79-2.23) per 100,000 person-years to 1.24 (95% CI 1.07-1.42) per 100,000 person-years. The incidence rate ratio (IRR) between males and females was 3.74 (95% CI 3.32-4.22). The age- and sex-standardized prevalence increased from 37.51 (95% CI 36.75-38.27) per 100,000 people in 2007 to 84.18 (95% CI 83.02-85.35) per 100,000 people in 2015. The rate risk (RR) between males and females was 3.65 (95% CI 3.53-3.78). CONCLUSION: The annual incidence rates of TS and chronic tic disorders increased in childhood and adolescence but decreased in adulthood from 2007 to 2015. The prevalence rates increased over the same period.

A chemiresistive biosensor for detection of cancer biomarker in biological fluids using CVD-grown bilayer graphene.

A chemiresistive biosensor is described for simple and selective detection of miRNA-21. We developed chemical vapor deposition (CVD) and low-damage plasma treatment (LDPT)-treated bilayer graphene composite of graphene oxide/graphene (GO/GR) for the determination of a reliable biomarker. We have successfully overcome the self-limiting growth mechanism by using CVD method to grow more than one layer of graphene on copper foil. In addition, LDPT can be used to form GO/GR structures for chemiresistive biosensor applications. Due to the direct formation of BLGR (bilayer graphene), the coupling between graphene layers is theoretically superior to that of stacked BLGR, which is also confirmed by the blue shift of the characteristic peak of graphene in Raman spectroscopy. The shift is about double compared with that of stacked BLGR. Based on the results, the limit of detection for the target miRNA-21 was calculated to be 5.20 fM and detection rage is calculated as 100 fM to 10 nM, which is obviously better performance. Compared with previous work, this chemiresistive biosensor has good selectivity, and stability towards detection of miRNA-21. The ability to detect miRNA-21 in different biological fluids was almost identical to that in pH 7.4 phosphate-buffered saline (PBS). Thus, the proposed bilayer GO/GR of modified chemiresistive biosensor may potentially be applied to detect cancer cells in clinical examinations.

A Nationwide Population-based Study From Taiwan Assessing the Influence of Preventable Hospitalization Rate on Mortality After Oncologic Surgery.

OBJECTIVE: To determine the effect of a previously unassessed measure of quality-preventable hospitalization rate-on mortality after oncologic surgery for 4 procedures with established volume-outcome relationships. We hypothesize that hospitals with higher preventable hospitalization rates (indicating poor quality of primary care) have increased hospital mortality. Additionally, patients having surgery at hospitals with higher preventable hospitalization rates have increased mortality. SUMMARY BACKGROUND DATA: Although different factors have been used to measure healthcare quality, most have not resulted in long-term hospital-based improvements in patient outcomes. METHODS: We retrieved data from Taiwan's National Health Insurance database for patients who underwent surgery during 2001 to 2014 for esophagectomy, pancreatectomy, lung resection, or cystectomy. Preventable hospitalization rates assess hospitalizations for 11 chronic conditions that are deemed to be preventable with effective primary care. The outcome was 30-day surgical mortality. Identifiable factors potentially related to surgical mortality, including surgeon and hospital volume, were controlled for in the models. RESULTS: Our dataset contained 35,081 patients who had surgery for one of the procedures. For all procedures, hospitals with high preventable hospitalization rates were associated with higher mortality rates (all P < 0.01). For esophagectomy, lung resection, and cystectomy, the adjusted odds of individual mortality increased by 8% to 10% (P < 0.01) for every 1% increase in the preventable hospitalization rate. For pancreatectomy, the adjusted odds of individual mortality increased by 21% for every 1% increase in preventable hospitalization rate when the rate was ≥8% (P < 0.01). CONCLUSIONS: Preventable hospitalization rates could serve as warning signs of low quality of care and be a publically-reported quality measure.

Intravenous CT Contrast Media and Acute Kidney Injury: A Multicenter Emergency Department-based Study.

Background Although the historical risk of acute kidney injury (AKI) after intravenous administration of contrast media might be overstated, the risk in patients with impaired kidney function remains a concern. Purpose To investigate whether intravenous contrast media administration during CT is associated with a higher risk of AKI and further hemodialysis compared with the risk in patients undergoing unenhanced CT. Materials and Methods This retrospective study evaluated patients who underwent contrast-enhanced or unenhanced CT in five Taiwanese emergency departments between 2009 and 2016. The outcomes were AKI within 48-72 hours after CT, AKI within 48 hours to 1 week after CT, or further hemodialysis within 1 month after CT. The associations between contrast media exposure and outcome were estimated by using an overlap propensity score weighted generalized regression model. Subgroup analyses were performed according to the estimated glomerular filtration rate (eGFR). Results The study included 68 687 patients (median age, 68 years; interquartile range, 53-74 years; 39 995 men) with (n = 31 103) or without (n = 37 584) exposure to contrast media. After propensity score weighting, contrast media exposure was associated with higher risk of AKI within 48-72 hours after CT (odds ratio [OR], 1.16; 95% CI: 1.04, 1.29; P = .007) but no significant risk at 48 hours to 1 week after CT (OR, 1.00; 95% CI: 0.93, 1.08; P = .90). Among patients with eGFR less than 30 mL/min/1.73 m2, exposure to contrast media was associated with a higher AKI risk (48-72 hours after CT: OR, 1.36; 95% CI: 1.09, 1.70; P = .007) (48 hours-1 week after CT: OR, 1.49; 95% CI: 1.27, 1.74; P < .001) and a higher risk of hemodialysis (OR, 1.36; 95% CI: 1.09, 1.70; P = .008). For patients with eGFR greater than 45 mL/min/1.73.m2, contrast media exposure was not associated with higher AKI risk (P > .05). Conclusion Contrast-enhanced CT was associated with higher risk of acute kidney injury and further hemodialysis among Taiwanese patients with an estimated glomerular filtration rate (eGFR) of less than 30 mL/min/1.73 m2 but not those with an eGFR of more than 45 mL/min/1.73 m2. © RSNA, 2021 Online supplemental material is available for this article.

Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images.

Detection of nodal micrometastasis (tumor size: 0.2-2.0 mm) is challenging for pathologists due to the small size of metastatic foci. Since lymph nodes with micrometastasis are counted as positive nodes, detecting micrometastasis is crucial for accurate pathologic staging of colorectal cancer. Previously, deep learning algorithms developed with manually annotated images performed well in identifying micrometastasis of breast cancer in sentinel lymph nodes. However, the process of manual annotation is labor intensive and time consuming. Multiple instance learning was later used to identify metastatic breast cancer without manual annotation, but its performance appears worse in detecting micrometastasis. Here, we developed a deep learning model using whole-slide images of regional lymph nodes of colorectal cancer with only a slide-level label (either a positive or negative slide). The training, validation, and testing sets included 1963, 219, and 1000 slides, respectively. A supercomputer TAIWANIA 2 was used to train a deep learning model to identify metastasis. At slide level, our algorithm performed well in identifying both macrometastasis (tumor size > 2.0 mm) and micrometastasis with an area under the receiver operating characteristics curve (AUC) of 0.9993 and 0.9956, respectively. Since most of our slides had more than one lymph node, we then tested the performance of our algorithm on 538 single-lymph node images randomly cropped from the testing set. At single-lymph node level, our algorithm maintained good performance in identifying macrometastasis and micrometastasis with an AUC of 0.9944 and 0.9476, respectively. Visualization using class activation mapping confirmed that our model identified nodal metastasis based on areas of tumor cells. Our results demonstrate for the first time that micrometastasis could be detected by deep learning on whole-slide images without manual annotation.

Temporal relationship between osteoarthritis and comorbidities: a combined case control and cohort study in the UK primary care setting.

OBJECTIVE: To determine the burden of comorbidities in OA and their temporal relationships in the UK. METHODS: The Clinical Practice Research Datalink (CPRD) GOLD was used to identify people with incident OA and age, gender and practice matched non-OA controls from UK primary care. Controls were assigned the same index date as matched cases (date of OA diagnosis). Associations between OA and 49 individual comorbidities and multimorbidities (two or more comorbidities excluding OA) both before and after OA diagnosis were estimated, adjusting for covariates, using odds ratios (aORs) and hazard ratios (aHRs), respectively. RESULTS: During 1997-2017, we identified 221 807 incident OA cases and 221 807 matched controls. Of 49 comorbidities examined, 38 were associated with OA both prior to and following the diagnosis of OA and 2 (dementia and systemic lupus erythematosus) were associated with OA only following the diagnosis of OA. People with OA had a higher risk of developing heart failure [aHR 1.63 (95% CI 1.56, 1.71)], dementia [aHR 1.62 (95% CI 1.56, 1.68)], liver diseases [aHR 1.51 (95% CI 1.37, 1.67)], irritable bowel syndrome [aHR 1.51 (95% CI 1.45, 1.58)], gastrointestinal bleeding [aHR 1.49 (95% CI 1.39, 1.59)], 10 musculoskeletal conditions and 25 other conditions following OA diagnosis. The aOR for multimorbidity prior to the index date was 1.71 (95% CI 1.69, 1.74), whereas the aHR for multimorbidity after the index date was 1.29 (95% CI 1.28, 1.30). CONCLUSIONS: People with OA are more likely to have other chronic conditions both before and after the OA diagnosis. Further study on shared aetiology and causality of these associations is needed.

Incidence and consequences of resuming oral anticoagulant therapy following hematuria and risks of ischemic stroke and major bleeding in patients with atrial fibrillation.

Following hematuria, it is uncertain to what extent a vitamin K antagonist (VKA) or non-VKA oral anticoagulant (NOAC) is resumed, and the risks of ischemic stroke/systemic embolism and major bleeding associated with NOAC and VKA resumption are unknown. A cohort study was conducted using electronic medical records collected from 2009 to 2017 at a multicenter healthcare provider in Taiwan. The cohort included 4155 atrial fibrillation patients receiving anticoagulant therapy with hematuria (age: 71.4 ± 11.2 years; 48.8% female). Within 90 days following hematuria, 3287 patients (79.1%) resumed oral anticoagulants including VKA (n = 1554, 37.4%) and NOACs (n = 1733, 41.7%), whereas 868 patients did not resume anticoagulant. Follow-up was initiated 90 days after the occurrence of hematuria, and time-varying multiple Cox regression analyses were used for comparisons between the resumption of NOAC and VKA. The event rates per 100 person-years in the VKA resumption and NOAC resumption groups were 3.04 and 3.28 for ischemic stroke/systemic embolism, and 2.63 and 2.92 for major bleeding, respectively. Patients resuming NOAC had similar risks of ischemic stroke/systemic embolism (hazard ratio 1.14, 95% CI 0.75-1.74) and major bleeding (hazard ratio 1.12, 95% CI 0.72-1.74) compared with those resuming VKA. Since 2011, the proportion of NOAC resumption has increased, whereas the proportions of VKA resumption and non-resumption have decreased. In conclusion, more and more patients who suffer a hematuria while on oral anticoagulant therapy resume NOAC. Patients resuming NOAC have similar risks of ischemic stroke/systemic embolism and major bleeding compared with those resuming VKA.

Postdiagnostic metformin use and survival of patients with colorectal cancer: A Nationwide cohort study.

Epidemiological evidence for the association between postdiagnostic metformin use and survival in patients with colorectal cancer (CRC) remains limited. Using the Taiwan Cancer Registry database, a cohort of 16,676 diabetic patients newly diagnosed with CRC from January 1, 2004 through December 31, 2014, followed until December 31, 2016, was identified. Postdiagnostic use of metformin (two or more prescriptions after CRC diagnosis) was defined as a time-dependent covariate with 6-month lag. Multivariate Cox regression model and stabilized inverse probability of treatment weighting (IPTW) were used to estimate adjusted effects of metformin on all-cause mortality and CRC-specific mortality during follow-up. A number of 11,438 (69%) received metformin after CRC diagnosis. Overall, 7,393 deaths, including 4,845 CRC-specific deaths, were observed during 64,322 person-years of follow-up. After adjustment for demographic and clinical covariates, metformin users had lower all-cause mortality than did nonusers (hazard ratio [HR], 0.42; 95% confidence interval [CI], 0.40-0.44) and lower CRC-specific mortality (HR, 0.41; 95% CI, 0.39-0.44). Similar but somewhat attenuated effects were observed after stabilized IPTW (HR for all-cause mortality, 0.56; 95% CI, 0.53-0.59; HR for CRC-specific mortality, 0.58; 95% CI, 0.55-0.61). Similar results were observed in stratified analyses of 2,112 patients with no prediagnostic metformin use and 14,564 patients with prediagnostic metformin use. Findings for both outcomes were consistent in multiple sensitivity analyses. Use of postdiagnostic metformin was associated with significantly lower all-cause mortality and CRC-specific mortality, regardless of prior metformin use. These findings support the use of metformin as an adjunct to standard care of diabetic patients with CRC.

Adverse birth outcomes in adolescent and young adult female cancer survivors: a nationwide population-based study.

BACKGROUND: For female adolescent and young adult (AYA), cancer with treatments may affect their children's health. Our aim was to determine reliable risk estimates of adverse birth outcomes in AYA cancer survivors and the differential effects of treatments. METHODS: The study population of 4547 births in the AYA cancer survivor group and 45,463 in the comparison group were identified from two national databases between 2004 and 2014. Detailed maternal health conditions, such as maternal comorbidities, medication use during pregnancy and lifestyles, were adjusted in the statistical analyses. The outcomes included low birth weight, preterm labour, stillbirth, small or large for gestational age, a 5-min Apgar score <7, congenital malformation and foetal distress. RESULTS: The AYA cancer survivor group had a 9% higher risk of overall adverse birth outcomes (adjusted odds ratio, 1.09; 95% confidence interval, 1.02-1.16), especially low birth weight and preterm labour than the comparison group. The radiotherapy-only group additionally had a higher risk of foetal distress, and a 5-min Apgar score <7. CONCLUSION: AYA cancer survivors, especially those who have received radiotherapy, still have higher risks of adverse birth outcomes after adjusting for detailed maternal health conditions. Preconception counselling and additional surveillance may be warranted in this population.

The Increasing Financial Burden of Outpatient Elective Surgery for the Privately Insured.

OBJECTIVE: To examine temporal trends of OOP expenses, total payments, facility fees, and professional fees for outpatient surgery. SUMMARY BACKGROUND DATA: Approximately 48 million outpatient surgeries are performed annually with a limited financial understanding of these procedures. High OOP expenses may influence treatment decisions, delay care, and cause financial burden for patients. METHODS: We conducted a retrospective cohort study of patients with employer-sponsored insurance undergoing common outpatient surgical procedures (cholecystectomy, cataract surgery, meniscectomy, muscle/tendon procedures, and joint procedures) from 2011 to 2017. Total payments for surgical encounters paid by the insurer/employer and patient OOP expenses were calculated. We used multivariable linear regression to predict total payments and OOP expenses, with costs adjusted to the 2017 US dollar. RESULTS: We evaluated 5,261,295 outpatient surgeries (2011-2017). Total payments increased by 29%, with a 53% increase in facility fees and no change in professional fees. OOP expenses grew by 50%. After controlling for procedure type, procedures performed in ambulatory surgery centers conferred an additional $2019 in predicted total payments (95%CI:$2002-$2036) and $324 in OOP expenses (95%CI:$319-$328) compared to predicted cost for office-based procedures. Hospital-based procedures cost an additional $2649 in predicted total payments (95%CI:$2632-$2667) and $302 in predicted OOP expenses (95%CI:$297-$306) compared to office procedures. CONCLUSION: Increases in outpatient surgery total payments were driven primarily by facility fees and OOP expenses. OOP expenses are rising faster than total payments, highlighting the transition of costs to patients. Healthcare cost reduction policies should consider the largest areas of spending growth such as facility fees and OOP expenses to minimize the financial burden placed on patients.