BACKGROUND: There are limited data on the resource utilization of total knee arthroplasty (TKA) in China. This study aimed to examine the length of stay (LOS) and inpatient charges of TKA in China, and to investigate their determinants. METHODS: We included patients undergoing primary TKA in the Hospital Quality Monitoring System in China between 2013 and 2019. LOS and inpatient charges were obtained, and their associated factors were further assessed using multivariable linear regression. RESULTS: A total of 184,363 TKAs were included. The LOS decreased from 10.8 days in 2013 to 9.3 days in 2019. The admission-to-surgery interval decreased from 4.6 to 4.2 days. The mean inpatient charges were 61,208.3 Chinese Yuan. Inpatient charges reached a peak in 2016, after which a gradual decrease was observed. Implant and material charges accounted for a dominating percentage, but they exhibited a downward trend, whereas labor-related charges gradually increased. Single marital status, non-osteoarthritis indication, and comorbidity were associated with longer LOS and higher inpatient charges. Female sex and younger age were associated with higher inpatient charges. There were apparent varieties of LOS and inpatient charges among provincial or non-provincial hospitals, hospitals with various TKA volume, or in different geographic regions. CONCLUSIONS The LOS following TKA in China appeared to be long, but it was shortened during the time period of 2013 to 2019. The inpatient charges dominated by implant and material charges exhibited a downward trend. However, there were apparent sociodemographic and hospital-related discrepancies of resource utilization. The observed statistics can lead to more efficient resource utilization of TKA in China.
Length of Stay ; Fees and Charges ; Arthroplasty, Replacement, Knee/economics* ; China ; Humans ; Databases, Factual ; Male ; Female ; Middle Aged ; Aged ; Aged, 80 and over ; Inpatients

OBJECTIVES: The increasing costs of hospital delivery have increased the economic burden of pregnant women, and the mode of delivery is the main factor affecting the costs of hospital delivery. This study aims to explore the difference in costs between cesarean section and natural delivery, and to provide reference for controlling the increase of hospital delivery costs. METHODS: The data of inpatient delivery in the Hunan Maternal and Child Health Care Hospital from January 2016 to December 2020 were selected to compare the total inpatient costs and average daily costs of cesarean section and natural delivery. The linear trend model was used to analyze the trend change of inpatient delivery costs and the generalized linear model was used to analyze the influential factors for inpatient delivery costs. RESULTS: The average hospitalization costs of cesarean section (10 447.25 yuan) were higher than that of natural delivery (5 567.95 yuan), and the average daily costs of cesarean section (1 902.57 yuan) were higher than those of natural delivery (1 666.40 yuan). There was no significant increase or decrease in trend for cesarean section, while the average annual growth rate of the costs of natural delivery was 11.79%. The main factors affecting the hospitalization costs of cesarean section and natural delivery included age, occupation, medical insurance, route of admission, length of stay, premature delivery and complications (all P<0.05). CONCLUSIONS The total hospitalization costs and average daily costs of cesarean section are higher than those of natural delivery, but the costs of natural delivery show a faster growth trend, and the hospitalization costs of cesarean section and natural delivery should be controlled by targeted measures.
Child ; Female ; Pregnancy ; Humans ; Cesarean Section ; Hospitalization ; Hospitals ; Hospital Costs ; Inpatients ; Retrospective Studies

Objective: To study the effect of diurnal temperature range on the number of elderly inpatients with ischemic stroke in Hunan Province. Method: Demographic and disease data, meteorological data, air quality data, population, economic and health resource data of elderly inpatients with ischemic stroke were collected in 122 districts/counties of Hunan Province from January to December 2019. The relationships between the diurnal temperature range and the number of elderly inpatients with ischemic stroke were analyzed by using the distributed lag non-linear model, including the cumulative lag effect of the diurnal temperature range in different seasons, extremely high diurnal temperature range and extremely low diurnal temperature range. Results: In 2019, 152 875 person-times were admitted to the hospital for ischemic stroke in the elderly in Hunan Province. There was a non-linear relationship between the diurnal temperature range and the number of elderly patients with ischemic stroke, with different lag periods. In spring and winter, with the decrease in diurnal temperature range, the risk of admission of elderly patients with ischemic stroke increased (P_trend<0.001, P_trend=0.002);in summer, with the increase in diurnal temperature range, the risk of admission of elderly patients with ischemic stroke increased (P_trend=0.024);in autumn, the change in the diurnal temperature range would not cause a change in admission risk (P_trend=0.089). Except that the lag effect of the extremely low diurnal temperature range in autumn was not obvious, the lag effect occurred in other seasons under extremely low and extremely high diurnal temperature ranges. Conclusion: The high diurnal temperature range in summer and the low diurnal temperature range in spring and winter will increase the risk of admission of elderly patients with ischemic stroke, and the risk of admission of elderly patients with ischemic stroke will lag under the extremely low and extremely high diurnal temperature ranges in the above three seasons.
Humans ; Aged ; Temperature ; Ischemic Stroke ; Inpatients ; Cold Temperature ; Hot Temperature ; Seasons ; China/epidemiology*

The hospital is often a haven for people in need of care. However, for people with Parkinson’s disease (PD), hospitalizations can turn into a nightmare. People with PD are admitted to the hospital more frequently than those without PD. Infections, metabolic changes, exposure to anesthesia, changes in medication regimen or new medication changes are some common factors that may worsen PD symptoms during hospitalization. More importantly, the inherent complexity of PD pathophysiology creates challenges in management. Therefore, understanding PD pathophysiology and recognizing care gaps enable optimization of inpatient care among this vulnerable population.
Parkinson Disease ; Inpatients

BACKGROUND: Although intensively studied in patients with cardiovascular diseases (CVDs), the prognostic value of diastolic blood pressure (DBP) has little been elucidated in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This study aimed to reveal the prognostic value of DBP in AECOPD patients. METHODS: Inpatients with AECOPD were prospectively enrolled from 10 medical centers in China between September 2017 and July 2021. DBP was measured on admission. The primary outcome was all-cause in-hospital mortality; invasive mechanical ventilation and intensive care unit (ICU) admission were secondary outcomes. Least absolute shrinkage and selection operator (LASSO) and multivariable Cox regressions were used to identify independent prognostic factors and calculate the hazard ratio (HR) and 95% confidence interval (CI) for adverse outcomes. RESULTS: Among 13,633 included patients with AECOPD, 197 (1.45%) died during their hospital stay. Multivariable Cox regression analysis showed that low DBP on admission (<70 mmHg) was associated with increased risk of in-hospital mortality (HR = 2.16, 95% CI: 1.53-3.05, Z = 4.37, P <0.01), invasive mechanical ventilation (HR = 1.65, 95% CI: 1.32-2.05, Z = 19.67, P <0.01), and ICU admission (HR = 1.45, 95% CI: 1.24-1.69, Z = 22.08, P <0.01) in the overall cohort. Similar findings were observed in subgroups with or without CVDs, except for invasive mechanical ventilation in the subgroup with CVDs. When DBP was further categorized in 5-mmHg increments from <50 mmHg to ≥100 mmHg, and 75 to <80 mmHg was taken as reference, HRs for in-hospital mortality increased almost linearly with decreased DBP in the overall cohort and subgroups of patients with CVDs; higher DBP was not associated with the risk of in-hospital mortality. CONCLUSION: Low on-admission DBP, particularly <70 mmHg, was associated with an increased risk of adverse outcomes among inpatients with AECOPD, with or without CVDs, which may serve as a convenient predictor of poor prognosis in these patients. CLINICAL TRIAL REGISTRATION Chinese Clinical Trail Registry, No. ChiCTR2100044625.
Humans ; Blood Pressure ; Pulmonary Disease, Chronic Obstructive/therapy* ; Cohort Studies ; Respiration, Artificial ; Inpatients ; Hospital Mortality

Objective: To explore the characteristics, patterns of multimorbidity and the impact on quality of life and the prognosis of middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD). Methods: This is a cross-sectional study. From January 2012 to December 2021, 939 middle-aged and elderly COPD patients hospitalized in Beijing Hospital were selected by the convenient sampling method. The basic data of patients and the date of 16 common chronic diseases were collected. Patterns of multimorbidity were depicted by cluster analysis. Generalized linear regression model and logistic regression were used to evaluate the multimorbidity patterns and their prognosis. Results: At least one multimorbidity existed among 93.40% of COPD patients, and the median number of multimorbidity was 3. The top five multimorbidity among the patients were hypertension (57.93%, 544/939), coronary heart disease (33.76%,317/939), heart failure (31.95%,300/939), hyperlipidemia (31.63%,297/939) and arrhythmia (27.37%,257/939). Four multimorbidity patterns were identified, cardiometabolic and metabolic multimorbidity, kidney disease multimorbidity, respiratory-digestive-tumor multimorbidity and other multimorbidity. Cardiometabolic and metabolic multimorbidity was most common (590/939, 62.83%). Compared with non-cardiometabolic and metabolic multimorbidity, the incharge ADL score of patients with this multimorbidity decreased by 7 points (95%CI:-11.22- -3.34), Correspondingly, patients with kidney disease multimorbidity decreased by 14 points (95%CI:-24.12- -3.30) on the incharge score. The presence or absence of kidney disease multimorbidity had the greatest impact on discharge score, which was reduced by 12 points in comparison with patients without this multimorbidity (95%CI:-22.43- -2.40). ICU admission is mostly affected by the presence of cardiometabolic and metabolic multimorbidity (OR=2.44, 95%CI: 1.51-3.92) and kidney disease multimorbidity (OR=2.58, 95%CI: 1.01-6.60). The risk of death is the highest for cardiometabolic and metabolic multimorbidity (OR=2.24, 95%CI: 1.19-4.21). Conclusion: Multimorbidity is common in COPD patients. The most common pattern is cardiometabolic and metabolic multimorbidity. Cardiometabolic and metabolic multimorbidity and kidney disease multimorbidity significantly affect the quality of life and often associate with a poor prognosis.
Aged ; Middle Aged ; Humans ; Multimorbidity ; Inpatients ; Prevalence ; Cross-Sectional Studies ; Quality of Life ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Chronic Disease

OBJECTIVE: To study epidemiological characteristics and hospitalization costs of female inpatients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in Beijing. METHODS: A retrospective study was conducted to analyze electronic hospitalization summary reports of female inpatients with AECOPD in Beijing from 2013 to 2020. Clinical characteristics (age distribution and comorbidities), epidemiological characteristics (temporal and spatial distribution characteristics), hospi-talization times and costs of patients were described. RESULTS: A total of 57 911 subjects in 166 hospitals were included in this study, with a mean age of (78.84±8.59) years and the highest number of patients aged 80-89 years (49.06%), followed by patients aged 70-79 years (31.08%), and the lowest number of patients under 50 years (0.41%). The proportions of patients with coronary heart disease, hypertension and heart failure were 30.60%, 30.52% and 26.54% respectively. The median number of daily hospitalizations during the study period was 18 (IQR: 16). The number of daily hospitalizations for AECOPD showed an overall growth trend over the eight years from 2013 to 2020, starting to increase significantly in 2015 and continuing to increase until 2019, then followed by a decline in 2020. The proportion of inpatient admissions was higher in winter and spring (54.09%) than that in summer and autumn (45.91%). The top three districts in terms of the proportion of total inpatient admissions were Xicheng district (14.18%), Chaoyang district (14.12%) and Fengtai district (13.47%). The density of inpatients was relatively high in the western regions, central urban areas and northeastern regions of the city, while the density of inpatients was relatively low in the near suburbs. The median number of hospital days for female patients with AECOPD was 12 days, and the median hospital costs was CNY 20 648.37. Patients from urban areas had longer hospitalization times and higher hospitalization costs than those from suburban areas (P < 0.001). Western medicine expenses accounted for the largest proportion of total hospital expenses (33.32%). During the study period, hospitalization costs exhibited an overall pattern of initial growth, followed by subsequent decline, eventually stabilizing. The differences in hospitalization costs among the patients with different comorbidities were significant. CONCLUSION Female hospitalized patients with AECOPD in Beijing were older than 70 years, often complicated by cardiovascular disease. AECOPD occurred mainly in winter and spring, with regional differences. The hospitalization costs were closely associated with the patients' age, comorbidities, and the geographicical region.
Humans ; Female ; Aged ; Aged, 80 and over ; Inpatients ; Beijing ; Retrospective Studies ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Hospitalization

INTRODUCTION: There are limited studies exploring functional improvement in relation to characteristics of patients who, following acute hospital care, receive inpatient rehabilitation in community hospitals. We evaluated the association of acute hospital admission-related factors with functional improvement on community hospital discharge. METHODS: We conducted a retrospective cohort study among patients who were transferred to community hospitals within 14-day post-discharge from acute hospital between 2016 and 2018. Modified Barthel Index (MBI) on a 100-point ordinal scale was used to assess functional status on admission to and discharge from the community hospital. We categorised MBI into 6 bands: 0-24, 25-49, 50-74, 75-90, 91-99 and 100. Multivariable logistic regression models were constructed to determine factors associated with categorical improvement in functional status, defined as an increase in at least one MBI band between admission and discharge. RESULTS: A total of 5,641 patients (median age 77 years, interquartile range 69-84; 44.2% men) were included for analysis. After adjusting for potential confounders, factors associated with functional improvement were younger age, a higher MBI on admission, and musculoskeletal diagnosis for the acute hospital admission episode. In contrast, a history of dementia or stroke; lower estimated glomerular filtration rate; abnormal serum albumin or anaemia measured during the acute hospital episode; and diagnoses of stroke, cardiac disease, malignancy, falls or pneumonia; and other chronic respiratory diseases were associated with lower odds of functional improvement. CONCLUSION Clinicians may want to take into account the presence of these high-risk factors in their patients when planning rehabilitation programmes, in order to maximise the likelihood of functional improvement.
Aftercare ; Aged ; Female ; Hospitals, Community ; Humans ; Inpatients ; Male ; Patient Discharge ; Retrospective Studies ; Stroke/complications* ; Stroke Rehabilitation

Introduction: The scarce local data on the etiology of childhood pneumonia admitted in a hospital has come from a few urban and rural government hospitals. There is no data from private hospitals. Knowing the most likely etiology of pneumonia is of outmost importance as this has implications on the diagnostic modalities requested and the institution of therapy. Objectives: The purpose of this study is to identify clinical and microbiologic diagnoses of clinically- and radiographically-confirmed pediatric pneumonia cases admitted in a private hospital. Secondarily, a discussion of specific etiologies is made. Methodology: Each consecutive, inpatient, pneumonia referral/admission in either one of two private, urban, tertiary hospitals, of a child 18 years and below from 1993 to 2021 was logged into a computer daily by a single pediatric infectious disease specialist. Clinical, epidemiologic, diagnostic and therapeutic data were recorded. All pneumonia cases, except those seen in newborns before their discharge from the nursery, were included. Results: Of the 496 cases, there was a clinical and/or microbiologic etiology in 43% of cases. The bacteremia rate was 6.3%. The most common identifiable etiologies were Mycoplasma pneumoniae (11.9%), Mycobacterium tuberculosis (5.2%), and Staphylococcus aureus (4.2%), while bronchiolitis (5.5%) and measles (4.8%) were the most common clinical diagnoses. There were several cases of ventilator-associated pneumonia and Pneumocystis jirovecii pneumonia. Conclusions Mycoplasma pneumoniae, tuberculosis, Staphylococcus aureus and Pneumocystis jirovecii are important pneumonia etiologies that have not been widely considered locally. The data presented here mirrors the practice of one pediatric infectious disease doctor in two hospitals where diagnostic and treatment options are readily available and utilized.
Child ; Inpatients ; Hospitals, Private ; Communicable Diseases ; Pneumonia

To analyze the risk factors for urinary tract infection (UTI) among inpatients. The case data of 1 875 inpatients receiving urinary bacterial culture in Beijing Haidian Hospital from October 2019 to May 2021 were analyzed retrospectively. According to the etiological diagnostic criteria of UTI, they were divided into infection group and non-infection group. The species and distribution of pathogens in the infection group were analyzed, and the case data and laboratory indexes were subjected to univariate analysis. The variables with statistical significance were selected for binary logistic regression to analyze the risk factors of urinary tract infection and establish a prediction model. The receiver operating characteristic (ROC) curve was drawn for each parameter included in the model, and the area under the curve (AUC) was calculated. The diagnostic and predictive efficacy of each parameter alone and their combination for UTI were evaluated. So, a total of 1 162 patients with non-infection group and 713 patients with UTI were detected. Among the cultured pathogens, the constituent ratio of Gram-negative bacteria, Gram-positive bacteria and fungi was 57.2%(408/713), 35.9%(256/713) and 6.9%(49/713) respectively. Multivariate analysis showed that, Age, duration of urinary catheterization>7 d, stroke and orthopedic surgery were the risk factors of UTI among inpatients. The use of antibiotics is a protective factor for urinary tract infections. The prediction model of UTI was established by the risk factors, age, duration of urinary catheterization>7 d, stroke, orthopedic surgery, urinary leukocyte esterase, urinary nitrite and Coefficient of variability of red blood cell volume distribution width (RDW-CV). The AUC of the combination of the eight parameters in diagnosing and predicting UTI was 0.835 (95%CI: 0.816-0.855), with the sensitivity of 70.7% and the specificity of 82.8%. In conclusion,the combination of the eight parameters can better assist in the diagnosis and prediction of UTI, and provide an experimental basis for clinicians to judge UTI.
Humans ; Retrospective Studies ; Inpatients ; Urinary Tract Infections/microbiology* ; Urinalysis ; Stroke