Cardiovascular diseases are a prominent cause of mortality,emphasizing the need for early prevention and diagnosis.Utilizing artificial intelligence(AI)models,heart sound analysis emerges as a noninvasive and universa...Cardiovascular diseases are a prominent cause of mortality,emphasizing the need for early prevention and diagnosis.Utilizing artificial intelligence(AI)models,heart sound analysis emerges as a noninvasive and universally applicable approach for assessing cardiovascular health conditions.However,real-world medical data are dispersed across medical institutions,forming“data islands”due to data sharing limitations for security reasons.To this end,federated learning(FL)has been extensively employed in the medical field,which can effectively model across multiple institutions.Additionally,conventional supervised classification methods require fully labeled data classes,e.g.,binary classification requires labeling of positive and negative samples.Nevertheless,the process of labeling healthcare data is timeconsuming and labor-intensive,leading to the possibility of mislabeling negative samples.In this study,we validate an FL framework with a naive positive-unlabeled(PU)learning strategy.Semisupervised FL model can directly learn from a limited set of positive samples and an extensive pool of unlabeled samples.Our emphasis is on vertical-FL to enhance collaboration across institutions with different medical record feature spaces.Additionally,our contribution extends to feature importance analysis,where we explore 6 methods and provide practical recommendations for detecting abnormal heart sounds.The study demonstrated an impressive accuracy of 84%,comparable to outcomes in supervised learning,thereby advancing the application of FL in abnormal heart sound detection.展开更多
Psychiatric disorders and heart abnormality are closely interconnected.Previous knowledge has been well-established that psychiatric disorders can lead to increased cardiovascular morbidity and even sudden cardiac dea...Psychiatric disorders and heart abnormality are closely interconnected.Previous knowledge has been well-established that psychiatric disorders can lead to increased cardiovascular morbidity and even sudden cardiac death.Conversely,whether heart abnormality contributes to psychiatric disorders remains rarely studied.The work by Zhang et al pointed out that chronic heart failure had effects on the anxiety and depression(AD)severity,and indices including left ventricular ejection fraction,N-terminal pro-brain natriuretic peptide and interleukin-6 were independent risk factors for AD severity.In addition to the aforementioned AD,we herein find that heart failure might additionally impact the development of autism spectrum disorder and post-traumatic stress disorder(albeit P>0.05),and significantly protects against the presence of attention deficit hyperactivity disorder(ADHD),[odds ratio(OR)=0.61,P=0.0071]by using a Mendelian randomization analysis.Bradycardia is also a protective factor for ADHD(OR=0.61,P=0.0095),whereas hypertrophic cardiomyopathy is a mild risk factor for schizophrenia(OR=1.02,P=0.032).These data suggest a wide spectrum of psychiatric disorders secondary to heart abnormality,and we highlight more psychiatric care that should be paid to patients with heart abnormality.展开更多
The Tell-Tale Heart is one of the horror stories of Edgar Allan Poe's, who was a master of the horror tale in American. The hero in this story is always afraid of the eyes of an old man. He is extreme anxiety unde...The Tell-Tale Heart is one of the horror stories of Edgar Allan Poe's, who was a master of the horror tale in American. The hero in this story is always afraid of the eyes of an old man. He is extreme anxiety under the eyes, for avoiding this anxiety, he kills the old man. This paper is to analyze the hero's abnormal psychology.展开更多
Among the most consolidated dogmas in obstetrics, we have the essential role of oxytocin during: labor by regulating, consolidating uterine contractions, by supporting the expulsive efforts of the patient during child...Among the most consolidated dogmas in obstetrics, we have the essential role of oxytocin during: labor by regulating, consolidating uterine contractions, by supporting the expulsive efforts of the patient during childbirth and after childbirth by preventing postpartum hemorrhage. But what challenged us to conduct our study is the large and increasing number of surgical operations for postpartum hemorrhage in patients who received oxytocin during labor. We assumed that the generalization use of oxytocin in all patients during labor is probably responsible of this increasing rate of incidents. To verify this assumption, we carried out a prospective randomized comparative study, involving 3990 pregnant patients admitted at the start of labor at term, with no contraindication for giving birth by normal ways, during a period of 10 months (January-October 2022). The patients have been divided into 2 groups. The first group comprises 1991 patients who were placed on admission on a glucose serum infusion with 4 ampoules of a non-anticholinergic musculotropic antispasmodic: “Hydrated phloroglucinol + trimethylphloroglucinol” (Each ampoule contains 40 mg of hydrated phloroglucinol and 0.04 mg of trimethylphloroglucinol) instead of receiving oxytocin during the active phase of their labor and a second group consisting of 1999 patients who received oxytocin during the active phase of their labor. The results were very surprising and contrary to the already consolidated evidence in our specialty. Indeed, the rate of postpartum hemorrhages was 10 patients (0.5%) in the 1st group vs 30 patients (1.5%) in the 2nd group, 9 patients (0.4%) presented fetal heart rate abnormalities in the 1st group vs 90 (4.5%) in the 2nd group, 8 cases (0.4%) of dynamic dystocia in the 1st group vs 132 cases (6.6%) in the 2nd group and 99 caesareans (5%) in the 1st group vs 299 (15%) in the 2nd group. Against all expectations the results were very surprising, with more details in the article.展开更多
基金partially supported by the National Natural Science Foundation of China(grant number 62272044)the Ministry of Science and Technology of the People’s Republic of China with the STI2030-Major Projects(grant number 2021ZD0201900)+5 种基金the Teli Young Fellow Program from the Beijing Institute of Technology,Chinathe Grants-in-Aid for Scientific Research(grant number 20H00569)from the Ministry of Education,Culture,Sports,Science and Technology(MEXT),Japanthe JSPS KAKENHI(grant number 20H00569),Japanthe JST Mirai Program(grant number 21473074),Japanthe JST MOONSHOT Program(grant number JPMJMS229B),Japanthe BIT Research and Innovation Promoting Project(grant number 2023YCXZ014).
文摘Cardiovascular diseases are a prominent cause of mortality,emphasizing the need for early prevention and diagnosis.Utilizing artificial intelligence(AI)models,heart sound analysis emerges as a noninvasive and universally applicable approach for assessing cardiovascular health conditions.However,real-world medical data are dispersed across medical institutions,forming“data islands”due to data sharing limitations for security reasons.To this end,federated learning(FL)has been extensively employed in the medical field,which can effectively model across multiple institutions.Additionally,conventional supervised classification methods require fully labeled data classes,e.g.,binary classification requires labeling of positive and negative samples.Nevertheless,the process of labeling healthcare data is timeconsuming and labor-intensive,leading to the possibility of mislabeling negative samples.In this study,we validate an FL framework with a naive positive-unlabeled(PU)learning strategy.Semisupervised FL model can directly learn from a limited set of positive samples and an extensive pool of unlabeled samples.Our emphasis is on vertical-FL to enhance collaboration across institutions with different medical record feature spaces.Additionally,our contribution extends to feature importance analysis,where we explore 6 methods and provide practical recommendations for detecting abnormal heart sounds.The study demonstrated an impressive accuracy of 84%,comparable to outcomes in supervised learning,thereby advancing the application of FL in abnormal heart sound detection.
基金Supported by the National Natural Science Foundation of China,No.82070285,No.82322033 and No.82470265.
文摘Psychiatric disorders and heart abnormality are closely interconnected.Previous knowledge has been well-established that psychiatric disorders can lead to increased cardiovascular morbidity and even sudden cardiac death.Conversely,whether heart abnormality contributes to psychiatric disorders remains rarely studied.The work by Zhang et al pointed out that chronic heart failure had effects on the anxiety and depression(AD)severity,and indices including left ventricular ejection fraction,N-terminal pro-brain natriuretic peptide and interleukin-6 were independent risk factors for AD severity.In addition to the aforementioned AD,we herein find that heart failure might additionally impact the development of autism spectrum disorder and post-traumatic stress disorder(albeit P>0.05),and significantly protects against the presence of attention deficit hyperactivity disorder(ADHD),[odds ratio(OR)=0.61,P=0.0071]by using a Mendelian randomization analysis.Bradycardia is also a protective factor for ADHD(OR=0.61,P=0.0095),whereas hypertrophic cardiomyopathy is a mild risk factor for schizophrenia(OR=1.02,P=0.032).These data suggest a wide spectrum of psychiatric disorders secondary to heart abnormality,and we highlight more psychiatric care that should be paid to patients with heart abnormality.
文摘The Tell-Tale Heart is one of the horror stories of Edgar Allan Poe's, who was a master of the horror tale in American. The hero in this story is always afraid of the eyes of an old man. He is extreme anxiety under the eyes, for avoiding this anxiety, he kills the old man. This paper is to analyze the hero's abnormal psychology.
文摘Among the most consolidated dogmas in obstetrics, we have the essential role of oxytocin during: labor by regulating, consolidating uterine contractions, by supporting the expulsive efforts of the patient during childbirth and after childbirth by preventing postpartum hemorrhage. But what challenged us to conduct our study is the large and increasing number of surgical operations for postpartum hemorrhage in patients who received oxytocin during labor. We assumed that the generalization use of oxytocin in all patients during labor is probably responsible of this increasing rate of incidents. To verify this assumption, we carried out a prospective randomized comparative study, involving 3990 pregnant patients admitted at the start of labor at term, with no contraindication for giving birth by normal ways, during a period of 10 months (January-October 2022). The patients have been divided into 2 groups. The first group comprises 1991 patients who were placed on admission on a glucose serum infusion with 4 ampoules of a non-anticholinergic musculotropic antispasmodic: “Hydrated phloroglucinol + trimethylphloroglucinol” (Each ampoule contains 40 mg of hydrated phloroglucinol and 0.04 mg of trimethylphloroglucinol) instead of receiving oxytocin during the active phase of their labor and a second group consisting of 1999 patients who received oxytocin during the active phase of their labor. The results were very surprising and contrary to the already consolidated evidence in our specialty. Indeed, the rate of postpartum hemorrhages was 10 patients (0.5%) in the 1st group vs 30 patients (1.5%) in the 2nd group, 9 patients (0.4%) presented fetal heart rate abnormalities in the 1st group vs 90 (4.5%) in the 2nd group, 8 cases (0.4%) of dynamic dystocia in the 1st group vs 132 cases (6.6%) in the 2nd group and 99 caesareans (5%) in the 1st group vs 299 (15%) in the 2nd group. Against all expectations the results were very surprising, with more details in the article.
