Jing Jiao

Prof. Jing Jiao


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2020 in BMC Geriatrics
Verified
Journal Article
Open access
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JJJing Jiao
Jing Jiao
YWYu Wang
Yu Wang
CZChen Zhu
Chen Zhu
FLFangfang Li
Fangfang Li
MZMinglei Zhu
Minglei Zhu
TXTao Xu
Tao Xu
Background: To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. Study design and setting: This cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients. Results: The mean age of all subjects was 72.47 ± 5.77 years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012–1.020), BMI < 18.5 (OR: 1.248, 95% CI: 1.171–1.330), female gender (OR: 1.058, 95% CI: 1.004–1.115), ethnic minority (OR: 1.152, 95% CI: 1.073–1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030–1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049–1.279), former alcohol use (OR: 1.094, 95% CI: 1.022–1.171), fall history in the past 12 months (OR: 1.257, 95% CI: 1.194–1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080–1.211), cognition impairment (OR: 1.182, 95% CI: 1.130–1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215–1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104–1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217–1.358). The results also showed some of the following protective effects: BMI > 28 (OR: 0.897, 95% CI: 0.856–0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927). Conclusion: We identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population. Trial registration: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018.

1 August 2022 in The Journal of nutrition, health and aging
Verified
Journal Article
Open access
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XZXiaoming Zhang
Xiaoming Zhang
XWXin-Juan Wu
Xin-Juan Wu
JCJ. Cao
J. Cao
JJJing Jiao
Jing Jiao
WCWenwen Chen
Wenwen Chen
Objectives This systematic review and meta-analysis aimed to pool the effect size of the association between cognitive frailty and adverse outcomes (e.g., falls, disability, and hospitalization) among older adults. Design Systematic review and meta-analysis. Methods PubMed, ScienceDirect, and Embase were searched from their respective inceptions to June 1, 2022. We extracted prospective cohort studies that reported the association between cognitive frailty and adverse outcomes. Random or fixed-effects models based on heterogeneity were used to pool the effect sizes of independent associations of cognitive frailty, frailty only, and cognitive impairment only with each adverse outcome. Results Fifteen studies involving 49,122 older adults were included in the meta-analysis. Older adults with cognitive frailty had higher odds ratios (OR) for falls (1.82, 95% confidence interval [CI]: 1.29–2.58), disability (3.17, 95%CI: 2.24–4.48), and hospitalization (1.78, 95%CI: 1.48–2.14) compared with those without frailty and cognitive impairment. Older adults with frailty only demonstrated a high risk for falls (pooled OR 1.76, 95%CI: 1.25–2.48), disability (pooled OR 1.82, 95%CI: 1.43–2.33), and hospitalization (pooled OR 1.64, 95% CI: 1.45–1.85). The influence of cognitive impairment only on adverse outcomes was lower compared with cognitive frailty or frailty. Subgroup analyses showed that those with cognitive frailty (defined by the frailty phenotype plus Mini-Mental State Examination) were at greater risk for developing adverse outcomes. Conclusion Our findings indicate that cognitive frailty is an independent risk factor for adverse outcomes (e.g., falls, disability, and hospitalization). Early screening and comprehensive intervention may improve cognitive frailty and reduce the risk for adverse outcomes among older adults.

25 January 2022 in Frontiers in Nutrition
Verified
Journal Article
Open access
HLHongpeng Liu
Hongpeng Liu
JJJing Jiao
Jing Jiao
MZMinglei Zhu
Minglei Zhu
XWXianxiu Wen
Xianxiu Wen
JJJingfen Jin
Jingfen Jin
TXTao Xu
Tao Xu
Background: Studies are scarce in China that explore the association of nutritional status, measured using the Short-Form Mini Nutritional Assessment (MNA-SF) and biochemical data, on adverse clinical outcomes among older inpatients. In this study, we aimed to determine the prevalence of malnutrition in tertiary hospitals of China and the associations between malnutrition and adverse clinical outcomes.Methods: This prospective study involved 5,516 older inpatients (mean age 72.47 ± 5.77 years) hospitalized in tertiary hospitals between October 2018 and February 2019. The tertiary hospitals refer to the hospital with more than 500 beds and can provide complex medical care services. The MNA-SF was used to assess nutritional status. Multiple logistic regression and negative binomial regression were used to analyze the relationship between nutritional parameters and risk of hospital length of stay (LoS), mortality, and rehospitalization.Results: We found that 46.19% of hospitalized patients had malnutrition or malnutrition risk, according to the MNA-SF. Death occurred in 3.45% of patients. MNA-SF scores 0–7 (odds ratio [OR] 5.738, 95% confidence interval [CI] 3.473 to 9.48) were associated with a six-fold higher likelihood of death, and scores 8–11 (OR 3.283, 95% CI 2.126–5.069) with a three-fold higher likelihood of death, compared with MNA-SF scores 12–14 in the logistic regression model, after adjusting for potential confounders. A low MNA-SF score of 0–7 (regression coefficient 0.2807, 95% CI 0.0294–0.5320;P< 0.05) and a score of 8–11 (0.2574, 95% CI 0.0863–0.4285;P< 0.01) was associated with a significantly higher (28.07 and 25.74%, respectively) likelihood of increased LoS, compared with MNA-SF score 12–14. MNA-SF scores 0–7 (OR 1.393, 95% CI 1.052–1.843) and 8–11 (OR 1.356, 95% CI 1.124–1.636) were associated with a nearly 1.5-fold higher likelihood of 90-day readmission compared with MNA-SF scores 12–14 in the logistic regression model. Moreover, hemoglobin level, female sex, education level, former smoking, BMI 24–27.9 kg/m2, age 75 years and above, and current alcohol consumption were the main factors influencing clinical outcomes in this population.Conclusions: Malnutrition increases the risk of hospital LoS, mortality, and 90-day readmission. The use of nutritional assessment tools in all hospitalized patients in China is needed. The MNA-SF combined with hemoglobin level may be used to identify older inpatients with a high risk of adverse clinical outcomes. These findings may have important implications for the planning of hospital services.

3 September 2020 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
HLHongpeng Liu
Hongpeng Liu
JJJing Jiao
Jing Jiao
CZChen Zhu
Chen Zhu
MZMinglei Zhu
Minglei Zhu
XWXianxiu Wen
Xianxiu Wen
TXTao Xu
Tao Xu
Background: There is still controversy about the relationship between aging and changes in functional ability. This study aims to describe the level of basic activities of daily living (ADL) and higher-level instrumental activities of daily living (IADL) in different age groups and explore the factors associated with functional disability in Chinese older inpatients. Methods: This cross-sectional study surveyed 9996 older inpatients aged 65 years and older from six tertiary hospitals in China from October 2018 to February 2019. The levels of ADL and IADL were measured by scores of the Barthel index and Instrumental Activities of Daily Living Scale. A mixed-effect generalized linear model was used to examine the association between functional disability and covariates. Results: The average ADL score was 89.51 ± 19.29 and the mean IADL score 6.76 ± 2.01 for all participants. There was a trend of decreasing scores along with aging, and significant differences between age groups were also observed (P < 0.001). The most affected ADL and IADL was stair climbing and shopping, respectively. Sociodemographic characteristics (such as age), physical health variables (frailty, emaciation, hearing dysfunction, urinary dysfunction, defecation dysfunction, falling accidents in the past 12 months), and mental health variables (cognitive dysfunction, depression) were associated with functional disability. Patients from the emergency department or transferred from other hospitals and former alcohol drinkers are at risk of ADL disability. Former smoking is a risk factor for IADL disability, whereas current drinking, higher-level education, and residing in a building without elevators were likely to maintain a better IADL performance. Conclusions: Functional ability declines with aging, older inpatients are low dependency upon ADL and IADL. There are several associated factors among the participants derived from this investigation of a large-scale, multicenter, nationally representative Chinese older inpatient population. These findings potentially have major importance for the planning of hospital services, discharge planning, and post-discharge care. Trial registration: Chinese Clinical Trial Registry, ChiCTR1800017682, registered August 9, 2018.

25 October 2021 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
LYLi Yuan
Li Yuan
XZXiaoming Zhang
Xiaoming Zhang
NGNa Guo
Na Guo
ZLZhen Li
Zhen Li
DLDongmei Lv
Dongmei Lv
XWXin-Juan Wu
Xin-Juan Wu
Background: Previous studies on the relationship between cognitive impairment and adverse outcomes among geriatric inpatients are not representative of older inpatients in China because of insufficient sample sizes or single-center study designs. The purpose of our study was to examine the prevalence of cognitive impairment and the relationship between cognitive impairment and 1-year adverse health outcomes in older inpatients. Methods: This study was a large-scale multi-center cohort study conducted from October 2018 to February 2020. Six tertiary hospitals across China were selected using a two-stage cluster sampling method, and eligible older inpatients were selected for the baseline survey and follow-up. The Mini Cognitive Scale and the FRAIL scale were used to screen for cognitive impairment and frailty, respectively. The EuroQol-5 Dimension-5 Level questionnaire was used to assess health-related quality of life (HRQoL). We used a generalized estimating model to evaluate the relationship between cognitive impairment and adverse outcomes. Results: The study included 5008 men (58.02%) and 3623 women (41.98%), and 70.64% were aged 65–75 years, and 26.27% were aged 75–85 years. Cognitive impairment was observed in 1756 patients (20.35%). There were significant differences between participants with cognitive impairment and those with normal cognitive function for age, gender, surgery status, frailty, depression, handgrip strength and so on. After adjusting for multiple covariates, compared with patients with normal cognitive function, the odds ratio for 1-year mortality was 1.216 (95% confidence interval [CI]: 1.076–1.375) and for 1-year incidence of frailty was 1.195 (95% CI: 1.037–1.376) in patients with cognitive impairment. Similarly, the regression coefficient of 1-year HRQoL was − 0.013 (95% CI: − 0.024−− 0.002). In the stratified analysis, risk of adverse outcome within 1 year was higher in older patients with cognitive impairment aged over 75 years than those aged 65–74 years. Conclusions: We revealed that cognitive impairment was highly correlated with occurrence of 1-year adverse health outcomes (death, frailty, and decreased HRQoL) in older inpatients, which provides a basis for formulating effective intervention measures. Trial registration: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018.

29 September 2020 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
HLHongpeng Liu
Hongpeng Liu
CZChen Zhu
Chen Zhu
JCJing Cao
Jing Cao
JJJing Jiao
Jing Jiao
BSBaoyun Song
Baoyun Song
XWXin-Juan Wu
Xin-Juan Wu
Background: In this study, we aimed to analyze the hospitalization costs for immobile patients with hemorrhagic stroke (IHS) or ischemic stroke (IIS) in China and to determine the factors associated with hospitalization costs. Methods: We evaluated patients with IHS and IIS hospitalized between November 2015 and July 2016 in six provinces or municipality cities of China. Linear regression analysis was used to examine the association with hospitalization costs and predictors. Results: In total, 1573 patients with IHS and 3143 with IIS were enrolled and analyzed. For IHS and IIS, the average length of stay (LoS) was 17.40 ± 12.3 and 14.47 ± 11.55 days. The duration of immobility was 12.11 ± 9.98 and 7.36 ± 9.77 days, respectively. Median hospitalization costs were RMB 47000.68 (interquartile range 19,827.37, 91,877.09) for IHS and RMB 16578.44 (IQR 7020.13, 36,357.65) for IIS. In both IHS and IIS groups, medicine fees accounted for more than one-third of hospitalization costs. Materials fees and medical service fees accounted for the second and third largest proportions of hospital charges in both groups. Linear regression analysis showed that LoS, hospital level, and previous surgery were key determinants of hospitalization costs in all immobile patients with stroke. Subgroup analysis indicated that hospital level was highly correlated with hospitalization costs for IHS whereas pneumonia and deep vein thrombosis were key factors associated with hospitalization costs for IIS. Conclusions: We found that hospitalization costs were notably higher in IHS than IIS, and medicine fees accounted for the largest proportion of hospitalization costs in both patient groups, perhaps because most patients ended up with complications such as pneumonia thereby requiring more medications. LoS and hospital level may greatly affect hospitalization costs. Increasing the reimbursement ratio of medical insurance for patients with IHS is recommended. Decreasing medicine fees and LoS, preventing complications, and improving treatment capability may help to reduce the economic burden of stroke in China.