The prevalence of chronic constipation among the elderly is significant, exerting adverse effects on both their physical and mental health.Presently, pharmacological therapy remains the predominant treatment modality for elderly patients with chronic constipation; however, prolonged use can lead to drug dependence, tolerance, and adverse effects.This article systematically reviews non-pharmacological interventions for chronic constipation in elderly patients, both domestically and internationally, aiming to provide a comprehensive reference for clinical practice.

The prevalence of chronic constipation among the elderly is significant, exerting adverse effects on both their physical and mental health.Presently, pharmacological therapy remains the predominant treatment modality for elderly patients with chronic constipation; however, prolonged use can lead to drug dependence, tolerance, and adverse effects.This article systematically reviews non-pharmacological interventions for chronic constipation in elderly patients, both domestically and internationally, aiming to provide a comprehensive reference for clinical practice.

Objective To determine the influencing factors of post-stroke depression by machine learning.Methods Stroke patients' medical records (688 cases eligible) were extracted from record system,including age,gender,pulse manifestation,complexion,tongue quality,fur,Chinese medicine intervention,body mass index (BMI),blood pressure,blood glucose,blood triglyceride,blood total cholesterol,smoking history,drinking history,depression family history,stroke lesion site in imaging,as well as the final depression judgment.Single rule algorithm (1R) was adopted to learn.The risk factors influencing post-stroke patients' depression in extracted information were determined.Then the cases collected were divided into the training dataset (500 cases) and the test dataset (188cases).Optimal discriminant results were obtained by random forest model.Results Single rule algorithm showed that the most important influencing factor of post-stroke depression was stroke lesion site.By computer speculation,stroke lesions in the frontal and temporal lobes were most prone to post-stroke depression.Basal ganglia,brain stem,cerebellum,medulla oblongata and occipital lobe lesions were less likely to cause depression.The accurate classification rate could amount to 88.95％ (612/688 cases).Random forest model determination was made in the former 500cases in the training dataset.The total correct rate of determining depression was 98.2％.The total correct rate of determination in 188 cases of the test dataset was 99.47％.Six hundred and eighty-eight patients' data were learnt by random forest model.The total correct rate was 98.84％.The importance measure results showed that top 3 important indexes of post-stroke depression were lesion site,Chinese medicine intervention and depression family history.Conclusion Patients with lesions in the frontal & temporal lobes and depression family history were most prone to post-stroke depression.

OBJECTIVETo detect the somatic mutations in peritoneal mesothelioma with whole genome sequencing technique.

METHODSSurgically resected cancer and pericancerous tissue samples from one patient with peritoneal mesothelioma were obtained. The whole genome sequences of tumor tissue and pericancerous tissue were examined by the second generation sequencing technique and compared with reference sequences from human genome database.

RESULTSThere were 639 717 single nucleotide variations (Single Nucleotide Variation SNV) found in both tumor and pericancerous tissue cells; while 20 302 SNVs were unique for tumor cells and 2 185 SNVs unique for pericancerous tissue, but still 223 SNVs found in cancer and pericancerous tissue were differed from those in human genome database.

CONCLUSIONThe preliminary results indicate that merely comparing the gene sequences of cancer and pericancerous tissue samples in an individual with the human genome reference sequence can not accurately locate all somatic mutations in pathological cells. For those individualized diseases caused by random somatic mutations, it is suggested to sequence the whole genome at birth or at least to reserve a DNA sample at early age for both research and clinical needs.

Aged ; DNA Mutational Analysis ; Female ; Humans ; Mesothelioma ; genetics ; Mutation ; Peritoneal Neoplasms ; genetics ; Polymorphism, Single Nucleotide

[Objective]To study the degradation of nano-nacre powder and the biocompatibility of the composite artificial bone made from this nano-scale powder in vivo.[Method]The nano-nacre powder made through mechanical grinding and the artificial bones made from this powder and PDLLA(poly-D,L-lactide acid) were implanted into the femoral holes and the femoral muscle sacs of rats respectively.Normal micron-nacre powder and the artificial bones made from this powder and PDLLA were implanted as control group,and blank group was set up without implanting anything.X-ray photography was performed immediately and at 2,4 and 8 weeks after operation.The animals were injected with tetracycline for fluorescent mark before being killed.Then,the gross specimens,histological and SEM(scanning electron microscope) observations were performed.[Result]All the observations showed that nano-nacre powder degraded faster than micron-nacre powder,meanwhile,the bone defect recovery was the fastest in this group.Both of the composite artificial bones made from those two kinds of nacre powder had the good connection with the adjacent tissue.[Conclusion]The degradation of nano-nacre powder is faster than that of micron-nacre powder in vivo,and it can promote the growing of new bone.Nano-nacre composite artificial bone also has good biocompatibility.It is a kind of better bioactive degradable material.