OBJECTIVETo study the natural head posture (NHP) of edentulous patients compared with dentate people and to understand NHP shift immediately inserting complete dentures and three months after denture wearing.

METHODSThe NHPs of twenty edentulous patients and twenty-two dentate subjects were recorded with cephalometric technique. The NTPs of edentulous patients were exposed three times, before inserting, right after inserting and three months after inserting dentures. The NHPs of dentate subjects were recorded once as a controlled group. Six angles measured from the radiographs were evaluated for the NHP and three angles and two linear measures for the mandibular position.

RESULTSCompared with dentate subjects, the craniomandibular angles of the edentulous patients increased and the camber of the cervical columns decreased, but changes of the NHP were not significant. The mandible showed a significant upward moving (P < 0.05) and an insignificant forward moving. At the time of denture insertion, the camber of the cervical columns significantly increased (P < 0.05). Three months after using the dentures, the craniomandibular angles of the patients obviously decreased. (P < 0.05).

CONCLUSIONThe shift of NHP after denture inserting does exist. The shifted NHP of the patients with dentures is a new balanced posture and closer to the normal position than the NHP of them without dentures.

Adult ; Aged ; Aged, 80 and over ; Cephalometry ; methods ; Denture, Complete ; Female ; Head ; physiopathology ; Humans ; Male ; Mandible ; physiopathology ; Middle Aged ; Mouth Rehabilitation ; methods ; Mouth, Edentulous ; physiopathology ; rehabilitation ; Neck ; physiopathology ; Posture

OBJECTIVETo investigate the surgical treatment for patients with multiple injuries in ICU.

METHODSClinical data of 163 multiple injury patients admitted to ICU of our hospital from January 2006 to January 2009 were retrospectively studied, including 118 males and 45 females, with the mean age of 36.2 years (range, 5-67 years). The injury regions included head and neck (29 cases), face (32 cases), chest (89 cases), abdomen (77 cases), pelvis and limbs (91 cases) and body surface (83 cases). There were 57 cases combined with shock. ISS values varied from 10 to 54, 18.42 on average. Patients received surgical treatments in ICU within respectively 24 hours (10 cases), 24-48 hours (8 cases), 3-7 days (7 cases) and 8-14 days (23 cases).

RESULTSFor the 163 patients, the duration of ICU stay ranged from 2 to 29 days, with the average value of 7.56 days. Among them, 143 were cured (87.73%), 11 died in the hospital (6.75%) due to severe hemorrhagic shock (6 cases), craniocerebral injury (3 cases) and multiple organ failure (2 cases), and 9 died after voluntarily discharging from hospital (5.52%). The total mortality rate was 12.27%.

CONCLUSIONSThe damage control principle should be followed when multiple injury patients are resuscitated in ICU. Surgical treatment strategies include actively controlling hemorrhage, treating the previously missed injuries and related wounds or surgical complications and performing planned staging operations.

Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Humans ; Intensive Care Units ; Male ; Middle Aged ; Multiple Trauma ; surgery ; Postoperative Complications ; surgery

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

OBJECTIVE: To evaluate the clinical effect of single-stage repair of penile urethral stricture using combined dorsal onlay oral mucosa grafting with ventral onlay penile skin flap. METHODS: We retrospectively reviewed the clinical database of 22 male patients with penile urethral stricture who received single-stage repair using combined dorsal onlay oral mucosa grafting with ventral onlay penile skin flap from November 2015 to October 2018. All the cases had no complications, such as skin fistula. The causes of stricture included iatrogenic (14/22, 63.6%), inflammation (2/22, 9.1%) and idiopathic (6/22, 27.3%). A ventral urethrotomy was made in the segment of stricture and extended proximally and distally until the normal calibre urethra was encountered. The oral mucosa graft was secured to the corpus spongiosum in dorsal onlay fashion or underlying corpora cavernosum after resection of the severe scarred urethra. Then the prepared Orandi fasciocutaneous penile skin flap was secured to edges of corpus spongiosum or oral mucosa graft. A 16 F or 14 F Foley catheter was left in situ for a minimum of 3 weeks, at which time a urethrogram was performed to look for extravasation, and the urethroscopy was performed if necessary. Success was defined as an open urethra with Qmax≥15 mL/s and no need for further surgical intervention. RESULTS: all the 22 patients with a mean age of 52.6 (18-73) years underwent the combined tissue-transfer technique. The mean length of the penile urethral stricture was 5.3 (2.5-10.0) cm and the mean preoperative Qmax was 6.7 mL/s. the mean length of oral mucosa grafts and fasciocutaneous skin flaps were 5.5 (3.2-10.5) cm and 6.0 (3.5-11.0) cm, respectively. The mean operation time was 225 (150-420) minutes and the mean evaluated blood loss was 53 (20.0-110.0) mL. The grafts included buccal mucosa (19/22, 86.4%) and lingual mucosa (3/22, 13.6%). The mean postoperative Q max was 21.2 (15-32) mL/s. A case of skin fistula and 2 cases of recurrent stricture were found, so the technique success rate was 81.8% (18/22) at a mean follow-up of 20.5 (5-51) months. The perioperative complications included 2 cases of infection and skin necrosis, which healed well after conservative treatment. CONCLUSION Single-stage repair of penile urethral stricture using combined dorsal onlay oral mucosa grafting with ventral onlay penile skin flap appears to be an excellent option to repair penile urethral stricture with unsalvageable urethral plate and the penile skin is available. The present clinical series showed a successful rate of 81.8% (18/22).
Aged ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Mouth Mucosa ; Retrospective Studies ; Treatment Outcome ; Urethra ; Urethral Stricture ; Urologic Surgical Procedures, Male

OBJECTIVE: To compare the clinical efficacy on cervical spondylosis of nerve root type with qi stagnation and blood stasis treated with warming needle with different lengths of moxa stick. METHODS: Six hundred patients with cervical spondylosis of nerve root type with qi stagnation and blood stasis were randomly divided into 4 groups: a 4 cm length group (150 cases, 5 cases dropped off, 2 cases suspended), a 3 cm length group (150 cases, 6 cases dropped off, 2 cases suspended), a 2 cm length group (150 cases, 6 cases dropped off), and a routine acupuncture group (150 cases, 6 cases dropped off). Warming needle with moxa stick in the length of 4 cm, 3 cm and 2 cm was delivered in the 4 cm length group, the 3 cm length group and the 2 cm length group, respectively. In the routine acupuncture group, simple acupuncture was applied. The acupoints selected in the above groups included Dazhui (GV 14) and bilateral Jiaji (EX-B 2) of C₅ and C₇, Fengchi (GB 20), Jianzhen (SI 9), Quchi (LI 11), Zhongzhu (TE 3), etc. In each group, the intervention was delivered once daily and 5 times a week. One course of intervention was composed of 2 weeks and 2 courses were required. The TCM syndrome score, the score of clinical assessment scale for cervical spondylosis (CASCS), the score of the brachial plexus traction test of the affected upper limb, F wave occurrence rate and conduction velocity of the ulnar nerve, the median nerve and the radial nerve of the affected upper limb were compared before and after treatment in the patients of each group. The levels of serum inflammatory factors, i.e. interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor α (TNF-α) and hypersensitive C-reactive protein (hs-CRP), were measured before and after treatment in the patients of each group. The clinical cfficacy was evaluated in the 4 groups. RESULTS: After treatment, the results of TCM syndrome evaluation, i.e. the scores of neck pain, activity limitation and upper limb numbness and pain, as well as the total scores; and the scores of brachial plexus traction test were reduced when compared with those before treatment in each group (P<0.01, P<0.05). The scores of subjective symptoms and adaptability, and the total scores of CASCS were elevated in comparison with those before treatment in each group (P<0.01, P<0.05). In the 4 cm length group, compared with the other 3 groups, the scores of neck pain and activity limitation for TCM syndrome evaluation, and its total score were lower (P<0.05, P<0.01); and the scores of subjective symptoms and adaptability, and the total score of CASCS were higher (P<0.05, P<0.01). The score of the brachial plexus traction test in the 4 cm length group was lower than that of the routine acupuncture group (P<0.05). After treatment, F wave occurrence rates and conduction velocity of median nerve and radial nerve were increased when compared with those before treatment in each group (P<0.05, P<0.01). F wave occurrence rate and conduction velocity of the radial nerve in the 4 cm length group were higher than those of the other 3 groups (P<0.05), and those of the median nerve were higher when compared with the routine acupuncture group (P<0.05). After treatment, the levels of serum IL-1β, IL-6 and TNF-α were all reduced when compared with those before treatment in each group (P<0.01, P<0.05); the level of serum IL-6 in the 4 cm length group was lower than those of the other 3 groups and serum level of TNF-α was lower compared with that in the routine acupuncture group (P<0.05). The total effective rate of the 4 cm length group was 78.3% (112/143), which was higher when compared with the 3 cm length group (67.6%, 96/142), the 2 cm length group (65.3%, 94/144) and the routine acupuncture group (53.5%, 77/144), respectively (P<0.05). CONCLUSION Warming needle with moxa stick of 4 cm in length effectively relieves the clinical symptoms of cervical spondylosis of nerve root type with qi stagnation and blood stasis, improves the nerve function of the upper limbs, and reduces the inflammatory responses caused by nerve compression. The clinical efficacy of this therapy with moxa stick of 4 cm in length is superior to the warming needle with moxa sticks of 3 cm and 2 cm, as well as the routine acupuncture.
Humans ; Interleukin-6 ; Neck Pain ; Qi ; Tumor Necrosis Factor-alpha ; Spondylosis/therapy*

To investigate the clinical application of clinical practice guideline on traditional Chinese medicine therapy alone or combined with antibiotics for sepsis, in order to promote the follow-up revision and further promotion of the Guidelines. Copies of 500 application evaluation questionnaire and 500 copies of applicability evaluation questionnaire were given to the clinicians who had used this Guideline in China, both in a form of registered questionnaire, and a database was established by Excel 2016 for descriptive statistical analysis. Copies of 211 application evaluation questionnaire and 211 copies of applicability evaluation questionnaire were collected. We can conclude from the survey that we should adjust the whole content and structure on the basis of better evaluation of the present recommendation scheme, update the prescription selection and clinical evidence of the recommendation scheme, and put forward the improvement measures for the hindrance factors in the application of the Guideline. Furthermore, in order to promote the Guideline more clearly, we should strengthen the doctor-patient education, improve guidance quality and increase the publicity, providing basis for the implementation and promotion strategies of the Guideline.
Anti-Bacterial Agents ; therapeutic use ; China ; Humans ; Medicine, Chinese Traditional ; Sepsis ; drug therapy ; Surveys and Questionnaires