The epidemiology of pulmonary Mycobacterium abscessus species in Japanese population.

BACKGROUND: Mycobacterium abscessus species (MABS) is now a most virulent rapidly growing mycobacteria (RGM), and the rapid increase of MABS was recently observed worldwide, including in Japan. Thus, we gathered evidences of the presence of pulmonary MABS in Japanese population from Japanese articles. METHODS: we searched studies that addressed the isolation of pulmonary non-tuberculous Mycobacteria (NTM) or MABS from clinical respiratory specimens in Japan. RESULTS: the ratio of MABS to NTM was 3.04% (95% confidence interval [CI]: 2.51-3.68), found using the meta-analysis of single proportions. The estimated mean age of patients infected with MABS was 67.72 years (95% CI: 65.41-70.02), found using the meta-analysis of single means. The estimated proportion of females, never smoker, and the co-infection with Mycobacterium avium complex (MAC) was 66.75% (95% CI: 59.23-73.50), 67.57% (95% CI: 62.43-72.32), and 36.74% (95% CI: 25.30-49.90), respectively. The characteristics of MABS in Japan were considerably different from that in Europe and United States from the perspective of age, gender, and complications, wherein the patients in these countries tended to be younger, had lower number of females, and had more occurrences of hereditary diseases, including cystic fibrosis (CF). CONCLUSION: we hypothesized that the characteristics of MABS in the Japanese were involved in those of non-CF MABS, and the distribution of gender and age of MABS were similar to that of MAC in the Japanese.

Evaluation of the accuracy of heart dose prediction by machine learning for selecting patients not requiring deep inspiration breath­hold radiotherapy after breast cancer surgery.

Increased heart dose during postoperative radiotherapy (RT) for left-sided breast cancer (BC) can cause cardiac injury, which can decrease patient survival. The deep inspiration breath-hold technique (DIBH) is becoming increasingly common for reducing the mean heart dose (MHD) in patients with left-sided BC. However, treatment planning and DIBH for RT are laborious, time-consuming and costly for patients and RT staff. In addition, the proportion of patients with left BC with low MHD is considerably higher among Asian women, mainly due to their smaller breast volume compared with that in Western countries. The present study aimed to determine the optimal machine learning (ML) model for predicting the MHD after RT to pre-select patients with low MHD who will not require DIBH prior to RT planning. In total, 562 patients with BC who received postoperative RT were randomly divided into the trainval (n=449) and external (n=113) test datasets for ML using Python (version 3.8). Imbalanced data were corrected using synthetic minority oversampling with Gaussian noise. Specifically, right-left, tumor site, chest wall thickness, irradiation method, body mass index and separation were the six explanatory variables used for ML, with four supervised ML algorithms used. Using the optimal value of hyperparameter tuning with root mean squared error (RMSE) as an indicator for the internal test data, the model yielding the best F2 score evaluation was selected for final validation using the external test data. The predictive ability of MHD for true MHD after RT was the highest among all algorithms for the deep neural network, with a RMSE of 77.4, F2 score of 0.80 and area under the curve-receiver operating characteristic of 0.88, for a cut-off value of 300 cGy. The present study suggested that ML can be used to pre-select female Asian patients with low MHD who do not require DIBH for the postoperative RT of BC.

Acute coronary syndrome with severe coronary calcification in a patient with pseudo-pseudohypoparathyroidism.

A 40-year-old female with a history of steroid therapy for juvenile rheumatoid arthritis was brought to our hospital because of chest pain. A diagnosis of non-ST elevation myocardial infarction was made, and emergency coronary angiography revealed stenotic lesions with severe calcification in the left anterior descending artery and the right coronary artery. Percutaneous coronary intervention with rotational atherectomy followed by a drug-coated balloon was performed to the lesion in the left anterior descending artery. The patient had characteristic physical findings including short stature, a round face, and 'knuckle-dimple sign'. Whole-body computed tomography showed many ectopic calcifications, indicating Albright's hereditary osteodystrophy. Ellsworth-Howard test revealed that urinary cyclic adenosine monophosphate response was positive, thus a diagnosis of pseudo-pseudohypoparathyroidism (PPHP) was made. Here, we describe a rare case of PPHP complicated by acute coronary syndrome with severely calcified coronary arteries. Learning objective: Pseudo-pseudohypoparathyroidism (PPHP) presents with several characteristic physical findings and ectopic calcifications. Since PPHP involves coronary artery calcification as in the present case, it may be considered as a cause of coronary artery disease.

Impact of bleeding event for new cancer diagnosis in patients with antiplatelet therapy after percutaneous coronary intervention.

BACKGROUND: Bleeding is a frequent event in coronary artery disease (CAD) patients treated with antiplatelet therapy after percutaneous coronary intervention (PCI). The impact of bleeding in CAD patients with antiplatelet therapy for cancer diagnosis remains unclear. METHODS AND RESULTS: Consecutive 1565 CAD patients treated with antiplatelet therapy after PCI, without anticoagulation therapy, were enrolled. We aimed to investigate the relationships between bleeding events and the incidence of new cancer diagnosis. Among 1565 patients, 178 (11.3 %) experienced any bleeding events defined as Bleeding Academic Research Consortium (BARC) type 1, 2, 3, or 5 bleeding and 75 (4.7 %) experienced minor bleeding events defined as BARC 1 or 2 bleeding, and 116 (7.4 %) were diagnosed with new cancer during a mean follow-up period of 1528 days. Among 178 patients with any bleeding and 75 patients with minor bleeding events, 20 (11.2 %) and 13 (17.3 %) were subsequently diagnosed with new cancer, respectively. The proportion of new cancer diagnosis was higher in patients with any bleeding and minor bleeding events than in those without bleeding events (3.3 versus 1.6 per 100 person-years, p < 0.001 and 6.2 versus 1.6 per 100 person-years, p < 0.001, respectively). Multivariate Cox proportional hazard analysis revealed that any bleeding and minor bleeding events were associated with higher rate of new cancer diagnosis [hazard ratio (HR) 2.27, p = 0.003 and HR 3.93, p < 0.001, respectively]. Additionally, any gastrointestinal bleeding and minor gastrointestinal bleeding events were associated with higher rate of new gastrointestinal cancer diagnosis (HR 8.67, p < 0.001 and HR 12.74, p < 0.001, respectively). CONCLUSIONS: In CAD patients with antiplatelet therapy after PCI, any bleeding and minor bleeding events were associated with subsequent new cancer diagnosis. Even minor bleeding events may be the first manifestation of underlying cancer during antiplatelet therapy after PCI.

The Prognostic Impact of D-Dimer on Long-Term Mortality in Patients with Coronary Artery Disease after Percutaneous Coronary Intervention.

D-dimer is a common measurable coagulation marker that is associated with the risk of thrombotic events in vascular diseases. However, the impact of D-dimer on long-term mortality in coronary artery disease (CAD) patients remains unclear. This study investigated the association between D-dimer and long-term all-cause, cardiac and cancer mortality in CAD patients. Continuous 1,440 patients with CAD who underwent percutaneous coronary intervention (PCI) and survived to discharge were enrolled. These patients were divided into 3 groups based on plasma D-dimer levels at admission. Baseline D-dimer levels were grouped by tertiles: first (D-dimer < 0.7 µg/mL, n = 455), second (0.7 ≤ D-dimer < 1.2, n = 453), and third (1.2 ≤ D-dimer, n = 532). In a Kaplan-Meier analysis (mean follow-up periods 1,572 days), all-cause, cardiac and cancer mortalities were significantly higher in the third tertile than others (P < 0.001, P < 0.001 and P < 0.001, respectively). In multivariable Cox proportional hazard analyses after adjusting for confounding factors, a high D-dimer level was an independent predictor of all-cause, cardiac, non-cardiac and cancer mortalities (HR 3.23, P < 0.001; HR 3.06, P = 0.008; HR 3.11, P = 0.026). In a subgroup analysis, there were no interactions except for the gender subgroup in cancer mortality. In patients with CAD after PCI, high D-dimer levels were associated with long-term all-cause, cardiac and cancer mortality.