1.Impact of energy balance on clinical outcome and complications in septic patients with mechanical ventilation
Zhaohui LIU ; Lei SU ; Yinguang LIAO ; Zhifeng LIU ; Junling LIU
The Journal of Practical Medicine 2014;(14):2237-2239
Objective To assess the influence of cumulative energy balance on outcome in septic patients requiring mechanical ventilation. Methods The indirect calorimetry (IC) was used to obtain target energy in 60 septic patients. The cumulative energy balance between survivors and non-survivors were compared. Logistic regressions was used to analyze the risk factors of death. Results Non-survivors had higher negative energy balance than survivors (P<0.05). The logistic regression analysis demonstrated that the start time of feeding and cumulative caloric balance were risk factors of mortality. Conclusions Effective nutrition support might be a good strategy to improve outcomes.
2.Impact of target energy intake on outcomes in septic patients: a prospective randomized controlled trial
Zhaohui LIU ; Lei SU ; Yinguang LIAO ; Zhifeng LIU ; Junling LIU
Chinese Critical Care Medicine 2014;26(3):131-134
Objective To observe the impact of the diverse caloric energy intake on the outcomes and occurrence rate of complications in septic patients.Methods A prospective single-blind randomized controlled trial was conducted.158 cases of septic patients in intensive care unit (ICU) were enrolled and randomly assigned to three groups according to their different target value of nutrition:group A [measurements of resting energy expenditure (MREE)<90%],B (MREE 90%-110%) and C (MREE > 110%).The caloric intake,mechanical ventilation duration (MVD),nosocomial infection rate,28-day and 60-day mortality were analyzed.Results Daily energy intake in 7 days after ICU admission was as follows:the difference in target value of nutrition(kJ/d:7 075.0 ± 1 046.5,5 667.8 ± 1 908.8,4 428.8 ± 1 377.8),calory intake (kJ/d:4 671.6 ± 1 205.6,5 655.3 ± 1 373.0,6 053.0 ± 1 557.2),enteral nutrition value (kJ/d:2 051.1 ± 1 046.5,3 980.9 ± 1 586.5,5 337.1 ±2 921.8) and average intake rate [(66.0 ± 15.8)%,(100.0 ± 5.7)%,(134.0 ± 19.7)%],and they were statistically significant difference among A,B,C groups (all P<0.05).The parenteral nutrition in group C were much higher than that in group A and group B (kJ/d:2 055.3 ± 273.4vs.427.0 ± 273.4,473.0 ± 332.0,both P<0.05).The calories provided by glucose and diprivan were similar among three groups.The MVD and ICU stay were shorter in group B than that in groups A and C [MVD (days):8.4 ± 6.3 vs.11.0 ± 8.2,17.8 ± 13.0,P> 0.05 and P< 0.05 ; ICU stay (days):11.0 ± 6.4 vs.14.9 ± 9.6,17.8 ± 13.0,respectively,P>0.05 and P<0.05].The total hospital stay (days:32.0 ± 22.5,26.8 ± 7.0,30.4 ± 21.4) and nosocomial infection rate [91.1% (51/56),84.0% (42/50),90.4% (47/52)] were similar among A,B,C groups (all P>0.05).There was no difference in survival rate at 28 days among three groups as shown by the Kaplan-Meier survival curve (F=3.145,P=0.076).The survival rate at 60 days showed a tendency of lowering in groups A and C,especially in group C (F=9.284,P=0.010).Conclusion Both higher and lower caloric energy intake may be associated with an adverse impact,but appropriate caloric intake would improve the outcome and reduce the complication rate in septic patients.
3.Influencing factors for substandard physiques among residents aged 20-69 years in Anhui Province
CHEN Yao ; FAN Yinguang ; LENG Ruixue ; MAO Yanmei ; LIAO Tao ; YE Dongqing
Journal of Preventive Medicine 2021;33(7):649-655
Objective:
To analyze the influencing factors for the 20-69-year-old residents in Anhui Province with substandard physiques, so as to provide a basis for improving the physiques of population.
Methods :
The 2014 physical fitness survey data of residents aged 20-69 years in Anhui Province were collected, including demographic information, physical exercise status and physical indicators ( height, weight, vital capacity, blood pressure and so on ). The physiques of residents was rated according to the "National Fitness Standards" ( 2003 edition ) . The multivariate logistic regression model was used to analyze the influencing factors for substandard physiques in different age groups.
Results:
Among 39 803 residents recruited, 5 081 were rated as substandard physiques and the rate was 12.77%. The rates of substandard physiques in the residents aged 20-<40, 40-<60 and 60-69 years were 11.08%, 13.11% and 16.74%, respectively. The results of multivariate logistic regression analysis showed that age, gender, household registration, education level, occupation and time spent each exercise were the influencing factors for substandard physiques among the residents aged 20-<40 years ( P<0.05 ); age, household registration, education level, occupation and physical exercise were the influencing factors for substandard physiques among the residents aged 40-<60 years ( P<0.05 ); age, gender, education level, occupation, physical exercise and time spent each exercise were the influencing factors for substandard physiques among the residents aged 60-69 years ( P<0.05 ).
Conclusions
The residents aged 20-69 years in Anhui Province have higher rate of substandard physiques in the 2014 survey. Age, education level, occupation and physical exercise may affect physical fitness and vary in different age groups, thus interventions should be carried out according to age.
4.Mutations analysis of SPG11 gene in Chinese Han patients with hereditary spastic paraplegia
Juan DU ; Shusheng LIAO ; Yacen HU ; Chong CHEN ; Yingying LUO ; Yinguang WANG ; Hong JIANG ; Beisha TANG ; Lu SHEN
Chinese Journal of Neurology 2010;43(7):499-504
Objective To identify disease-causing mutations in a large panel of Chinese Han patients with hereditary spastic paraplegia(HSP).Methods The coding sequence of the SPG11 gene in the probands of 28 families with ARHSP and 14 sporadic HSP patients was analyzed,and the identified changes in the sequence were tested to exclude being a benign polymorphism by sequencing 200 chromosomes from normal controls.Results Identified 13 causative mutations in SPG11 gene in 7 ARHSP and 3 sporadic HSP The mutations were:c.5977C>T/p.Q1993X、c.4668T>A/p.Y1556X、c.6898_6899delCT/p.L2300AfsX23.38、c.3719_3720delTA/p.11240VfsX263、c.733_734delAT/p.M245VfsX246、c.7088_7089insATTA/p.Y2363X、c.2163_2164insT/p.1722Yfsx731、c.7101-7102insT/p.K2368X、c.6790_6791insC/p.12264PfsX2339、c.654_655delinsG/p.S218RfsX219、c.7151+4_7151+7delAGTA/p.K2384fsX2386、c.6355-21_6355-18delTCT、c.3004C>T/p.G1002X.Among them,12 were novel mutations.The rate of mutation in the SPG11 gene was 25.0%(7/28)in ARHSP,6/6 in ARHSP-TCC and 3/14 in sporadic cases.Conclusions In Chinese Han population,patients with ARHSP-TCC and sporadic HSP-TCC should be screened for SPG11.Sequencing of the SPG11 gene in these patients with is valuable for clinical diagnostic testing.