1.The value of pro-adrenomedullin in early diagnosis of sepsis
Yan LI ; Cailan LU ; Hong LIU ; Zheng LIU ; Wei DOU
Chinese Critical Care Medicine 2015;(9):739-742
ObjectiveTo explore the early diagnostic value of pro-adrenomedullin (pro-ADM) in sepsis. Methods A prospective study was conducted. Eighty-two patients with acute infection admitted to Department of Emergency of Shanxi Medical University Second Hospital from April 2013 to March 2014 were enrolled. According to the diagnostic criteria of sepsis, the patients with acute infection were divided into ordinary infection group [infection without systemic inflammatory response syndrome (SIRS),n = 25] and sepsis group (infection combined with SIRS, n = 57). According to degree of severity of sepsis, the latter group was subdivided into three subgroups: sepsis group (n = 22), severe sepsis group (n = 27) and septic shock group (n = 8). Twenty-four healthy persons were included to serve as healthy control group. The venous blood from all the research objects in hospital was collected within 24 hours. The levels of pro-ADM and procalcitonin ( PCT ) were determined by enzyme linked immunosorbent assay (ELISA), and acute physiology and chronic health evaluationⅡ (APACHEⅡ) score was recorded. The relationship between pro-ADM and PCT and also APACHEⅡ score was analyzed with Pearson correlation analysis. The receiver-operating characteristic curve (ROC) of pro-ADM and PCT were used to evaluate the diagnostic acuity of sepsis.Results The plasma levels of pro-ADM, PCT and APACHEⅡ score in sepsis group were significantly higher than those in ordinary infection group and healthy control group [pro-ADM (ng/L): 66.69±1.73 vs. 53.43±2.70, 45.87±1.43; PCT (ng/L):1 336.49±40.26 vs. 1 083.09±47.99, 959.04±37.53; APACHEⅡ score: 14.60±0.81 vs. 8.10±1.14, 3.00±1.15,allP< 0.01]. With the aggravation of sepsis, the levels of pro-ADM, PCT and APACHEⅡ score were gradually increased, and there were significant differences among sepsis, severe sepsis, and septic shock groups [pro-ADM (ng/L): 64.91±2.50, 73.56±2.80, 84.67±4.52; PCT (ng/L): 1 152.65±48.62, 1 233.93±63.06, 1 475.71±109.93;APACHEⅡ score: 12.91±1.15, 14.55±1.14, 19.37±2.40,P< 0.05 orP< 0.01]. Pearson correlation analysis results showed that the level of pro-ADM was positively related with PCT (r = 0.473,P = 0.006), and it was also positively correlated with APACHEⅡ score (r = 0.707,P = 0.008). ROC curve analysis showed that area under the ROC curve (AUC) of pro-ADM for diagnosis of sepsis was 0.823 (P = 0.003). When the cutoff value was 59.40 ng/L, the sensitivity was 80.7%, the specificity was 68.0%, the positive predictive value was 85.2%, and the negative predictive value was 60.7%. AUC of the PCT for diagnosis of sepsis was 0.653 (P = 0.043). When the cutoff value was 1 194.67 ng/L, the sensitivity was 68.4%, the specificity was 64.0%, the positive predictive value was 81.8%, and the negative predictive value was 44.7%. It was proved that the pro-ADM had a higher diagnostic value for sepsis than PCT.Conclusion The plasma levels of pro-ADM can be used as an early indicator in diagnosis and severity evaluation and prognosis in patients with sepsis .
2.The incidence and risk factors for hip fractures in elderly patients within two years after stroke onset
Xiaoqing DENG ; Yuqiu LUO ; Caikui WU ; Lixiang ZHANG ; Fang FANG ; Yanju FENG ; Zhicong CHEN ; Lihua HUANG ; Lixin XU ; Chunqiong LING ; Baojuan SHI ; Cailan WEI
Chinese Journal of Geriatrics 2020;39(2):159-163
Objective:To investigate the incidence, clinical characteristics and risk factors for hip fractures in patients within two years after stroke onset.Methods:A total of 332 persons with first-onset stroke from the neurology department of our hospital between 1 June 2013 and 31 December 2014 were recruited and were divided into the hip fracture group and the non-hip fracture group.Clinical characteristics were recorded.Vision was tested as normal or impaired.Patients were accessed by the National Institutes of Health Stroke Scale(NIHSS), Behavioral Inattention Test, Baking Tray Task, Mini-Mental State Examination(MMSE), Birgitta Lindmark(BL)motor assessment scale, Berg Balance Scale(BBS), Timed Up & Go(TUG)Scale, and Stops Walking When Talking(SWWT)Scale.The clinic characteristics and risk factors for hip fractures were compared between the two groups after a 2-year follow-up.The accuracy of risk factors for fracture prediction was assessed by the sensitivity, specificity, and positive and negative predictive values.Results:Of 332 patients with stroke, 16 cases fractured their hips within two years after stroke onset, which corresponded to an incidence of 33‰/year(95% CI: 15‰/year-50‰/year). The 2-year mortality rate was 44%(95% CI: 25%-60%)and 48%(95% CI: 42%-54%)in patients with and without hip fractures respectively( χ2=0.036, P=0.724). The mean survival time for patients with and without hip fracture was 2.72 years(95% CI: 1.45-2.79)and 2.21 years(95% CI: 1.48-2.34)respectively.The proportions of patients with previous fractures history( χ2=16.780, P=0.041)and impaired vision( χ2=11.210, P=0.027), MMSE scale score( U=14.220, P=0.031), TUG ≥ 15 s( χ2=18.560, P=0.000)were higher, and SWWT( χ2=20.340, P=0.000)was lower in the hip fracture group than in the non-hip fracture group.The negative predictive values of previous fractures history, impaired vision, TUG and SWWT were higher than their positive predictive value.The specificities of previous fractures history, impaired vision, and SWWT were higher than their sensitivities.And the sensitivity of TUG was higher than its specificity. Conclusions:Hip fractures after stroke are common in elderly patients.Fractures often occur during daytime at home in daily activities.The previous fractures history, visual and cognitive dysfunction and impaired functional mobility are risk factors for hip fractures.We should take measures to prevent falls according to the relevant factors.Among the test scales, the timed up & go(TUG)scale could much more accurately identify patients at high risk for hip fractures.
3.Clinical characteristics and risk factors for falls within two years after stroke in elderly patients
Yuqiu LUO ; Xiaoqing DENG ; Caikui WU ; Lixiang ZHANG ; Yanju FENG ; Zhicong CHEN ; Lihua HUANG ; Lixin XU ; Chunqiong LING ; Baojuan SHI ; Cailan WEI
Chinese Journal of Geriatrics 2018;37(9):978-983
Objective To examine the incidence ,clinical characteristics ,and risk factors for falls within two years after stroke in elderly patients. Methods A total of 365 elderly stroke patients from the Department of Neurology at the 8th Nanning People's Hospital were recruited from June 1 , 2013 to December 31 ,2014. They were divided into a fall group and a non-fall group and were followed up for two years. The incidence and clinic characteristics of falls were analyzed. The risk factors for falls were analyzed by multiple Logistic regression analysis. Results Of the 365 stroke patients included in this study ,falls were observed in 146(40.2% )patients. The interval between the stroke and the first fall :72(49.3% )patients had the first fall within 3 months;22(15.1% )occurred between 4 and 6 months;20 (13.7% )between 7 and 12 months ;17 (11.6% )between 13 and 18 months ;and 15 (10.3% )between 19 and 24 months.A hundred and five(71.9% )patients fell during daytime and 41 (28.1% )patients during night.Eighteen(12.3% )patients had one fall ;65(44.5% )patients fell 2 to 4 times ;60(41.1% )patients fell 5 to 10 times ;and 3(2.1% )patients fell over 10 times.A total of 709 falls were observed.Places of falls :102(69.9% )falls happened indoors and 44(30.1% )falls occurred outdoors.Circumstances of falls :27 (18.5% )patients fell when turning over ;23 (15.8% )fell when rising from a seating position ;4(2.7% )patients fell when showering ;15(10.3% )patients fell while standing ;9(6.8% )fell when turning around ;56(38.3% )fell while walking ;and 12(8.2% )fell while climbing the stairs or running.The severity of falls :52(35.6% )patients had no injury ;78(53.2% ) suffered soft tissue injury ;16 (11.0% )had fractures ;and 78 (53.2% )had fear of falling.Multiple Logistic regression analysis showed that age(OR=2.41 ;95% CI :1.69-3.05) ,history of falls(OR =2.85 ;95% CI :1.46-3.81) ,history of stroke(OR=1.87 ;95% CI :1.12-2.79) ,right hemiplegia(OR=2.37 ;95% CI :1.62-4.59) ,left hemiplegia(OR= 2.47 ;95% CI :1.46-4.78) ,paraplegia(OR= 2.55 ;95% CI :1.57-4.98) ,visual impairment(OR=2.35 ;95% CI :1.35-6.62) ,apraxia(OR=2.53 ;95% CI :1.42-5.63) ,unilateral spatial neglect (OR=3.34 ;95% CI :2.82-6.34) ,use of psychotropic medications (OR= 1.76 ;95% CI :1.11-1.98) ,impaired physical mobility (OR = 1.58 ;95% CI :1.82-2.91) ,low MMSE scale(OR = 3.42 ;95% CI :1.38-7.41) ,low Barthel Index score(OR = 2.83 ;95% CI :0.97-4.68) ,BBS scale<45(OR=2.48 ;95% CI :1.27-4.18) ,TUG>15seconds(OR=3.56 ;95% CI :1.91-5.23) ,and lack of rehabilitation therapy (OR=3.42 ;95% CI :1.38-7.41)were independent predictors for falls(all P<0.05). Conclusions Falls are common among elderly patients within two years after stroke.Most falls happen indoors ,during daytime and while moving.Age ,history of falls ,history of stroke ,hemiplegia ,visual impairment ,apraxia ,unilateral spatial neglect ,use of psychotropic medications ,walk with a walker ,low MMSE scale ,low Barthel Index score ,BBS scale<45 ,TUG>15 seconds ,and lack of rehabilitation therapy are independent risk factors for falls after stroke.