Current Applications of Fecal Microbiota Transplantation in Functional Constipation.

Functional constipation (FC) is a common condition that would be hard to treat in clinical practice with a prevalence incidence in the population. Pharmacotherapy is a common treatment modality. However, clinical effects are limited and patients continue to suffer from it. In recent years, with the gradual increase in research on gut microbiota, it is understood that dysbiosis of the gut microbiota is importantly associated with the development of constipation. Recent studies have shown that fecal microbiota transplantation (FMT) is an effective method for restoring gut microbiota, as well as being efficacious in the treatment of FC. This mini review explains the characteristics of gut microbiota in FC patients, the mechanism of action of FMT, treatment modalities, current efficacy, and related problems. The purpose is to provide research directions and references for the future applications of FMT in FC.

Smartphone Application WeChat for Clinical Follow-up of Discharged Patients with Head and Neck Tumors: A Randomized Controlled Trial.

BACKGROUND: Nowadays, social media tools such as short message service, Twitter, video, and web-based systems are more and more used in clinical follow-up, making clinical follow-up much more time- and cost-effective than ever before. However, as the most popular social media in China, little is known about the utility of smartphone WeChat application in follow-up. In this study, we aimed to investigate the feasibility and superiority of WeChat application in clinical follow-up. METHODS: A total of 108 patients diagnosed with head and neck tumor were randomized to WeChat follow-up (WFU) group or telephone follow-up (TFU) group for 6-month follow-up. The follow-ups were delivered by WeChat or telephone at 2 weeks, 1, 2, 3, and 6 months to the patients after being discharged. The study measurements were time consumption for follow-up delivery, total economic cost, lost-to-follow-up rate, and overall satisfaction for the follow-up method. RESULTS: Time consumption in WFU group for each patient (23.36 ± 6.16 min) was significantly shorter than that in TFU group (42.89 ± 7.15 min) (P < 0.001); total economic cost in WFU group (RMB 90 Yuan) was much lower than that in TFU group (RMB 196 Yuan). Lost-to-follow-up rate in the WFU group was 7.02% (4/57) compared with TFU group, 9.80% (5/51), while no significance was observed (95% confidence interval [CI]: 0.176-2.740; P = 0.732). The overall satisfaction rate in WFU group was 94.34% (50/53) compared with 80.43% (37/46) in TFU group (95% CI: 0.057-0.067; P = 0.034). CONCLUSIONS: The smartphone WeChat application was found to be a viable option for follow-up in discharged patients with head and neck tumors. WFU was time-effective, cost-effective, and convenient in communication. This doctor-led follow-up model has the potential to establish a good physician-patient relationship by enhancing dynamic communications and providing individual health instructions. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR-IOR-15007498; http://www.chictr.org.cn/ showproj.aspx?proj=12613.

Comparison of CT and MRI in Diagnosis of Laryngeal Carcinoma with Anterior Vocal Commissure Involvement.

This study aimed to compare the accuracy of CT and MRI in determining the invasion of thyroid cartilage by and the T staging of laryngeal carcinoma with anterior vocal commissure (AVC) involvement. A total of 26 cases of laryngeal carcinomas with AVC involvement from May 2012 to January 2014 underwent enhanced CT and MRI scan, out of whom 6 patients also underwent diffusion-weighted magnetic resonance imaging(DWI). T staging and thyroid cartilage involvement were evaluated. All the surgical specimens underwent serial section and were reviewed by two senior pathologists independently. When compared with pathologic staging, the accuracy was 88.46% (23/26) of MRI scan (with a 95% confidence interval 37~77%) and 57.69% (15/26) of CT scan (with a 95% confidence interval 70~98%), respectively (P < 0.01). We also reported three cases who were misdiagnosed on CT or MRI about either the thyroid cartilage was involved or not, and one case of preliminary study of DWI. Compared to CT, MRI exhibited a higher accuracy rate on T staging of laryngeal carcinomas with AVC involvement. Combined utility of CT and MRI could help improve the accuracy of assessment of thyroid cartilage involvement and T staging of laryngeal carcinomas with AVC involvement.

[Effect of methylprednisolone pretreatment on pulmonary permeability and dipalmitoylphosphatidylcholine content in rabbits with reexpansion pulmonary edema].

OBJECTIVE: To investigate the effects of methylprednisolone pretreatment on pulmonary lung permeability index and the content of the pulmonary surfactant dipalmitoylphosphatidylcholine (DPPC) in a rabbit model of reexpansion pulmonary edema. METHODS: Twenty-one male New Zealand white rabbits were randomly divided into control group, reexpansion, and reexpansion+methylprednisolone pretreatment groups. The rabbit model of reexpansion pulmonary edema was established using Sakaos method. A bolus dosage of methylprednisolone (3 mg/kg) in reexpansion+methylprednisolone group group or 2.0 ml/kg normal saline in the other two groups was administered intravenously 20 min before reexpansion pulmonary edema. Bronchoalveolar lavage fluid (BALF) and arterial blood samples were collected for measurement of the total protein (TP) and DPPC contents 4 h after reexpansion, and the pulmonary permeability index was calculated. RESULTS: The pulmonary permeability index in methylprednisolone pretreatment group was significantly lower than that in the reexpansion group (0.007∓0.002 vs 0.177∓0.004, P<0.05). Methylprednisolone pretreatment significantly increased DPPC concentration in the BALF as compared with saline treatment in the reexpansion group (61.815∓28.307 vs 101.955∓24.544 µg/ml, P<0.05). CONCLUSION: Methylprednisolone pretreatment can increase pulmonary surfactant content and improve pulmonary permeability in the rabbit model of reexpansion pulmonary edema.