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Introduction: In areas with limited access to healthcare systems, Resting Energy Expenditure (REE) estimation is performed using predictive equations to calculate an individual's caloric requirement. One problem is that these equations were validated in populations with different characteristics from those in Latin America, such as race, height, or body mass, leading to potential errors in the prediction of this parameter. Objective: To determine the REE using predictive formulas compared with bioimpedance in Peruvians. Materials and methods: A comparative analytical cross-sectional study with secondary database analysis of the CRONICAS cohort. Results: we worked with a total of 666 subjects. The Mjeor equation was the one with the highest rating of 0.95, a lower mean absolute percentage error (MAPE) of 4.69%, and equivalence was found with the REE values. In the multiple regression, it was observed that the Mjeor equation was the one that least overestimated the REE, increasing 0.77 Kcal/day (95% CI: 0.769-0.814; p<0.001) for each point that increased the REE determined by bioimpedance. The strength of association between Mjeor and bioimpedance was 0.9037. Furthermore, in the regression of the data (weight, height, age) in the Mjeor equation it was observed that the coefficients obtained were the same as those used in the original equation. Conclusions: The Mjeor equation seems to be the most adequate to estimate the REE in the Peruvian population. Future prospective studies should confirm the usefulness of this formula with potential utility in primary health care(AU)
Introducción: En zonas con acceso limitado a sistemas de salud, la estimación del Gasto Energético en Reposo (GER) se realiza utilizando ecuaciones predictivas para calcular el requerimiento calórico de un individuo. Uno de los problemas es que estas ecuaciones fueron validadas en poblaciones con características diferentes a las latinoamericanas, como raza, talla o masa corporal, lo que conlleva a potenciales errores en la predicción de este parámetro. Objetivo: Determinar el GER mediante fórmulas predictivas comparadas con la bioimpedancia en peruanos. Materiales y métodos: Estudio transversal analítico comparativo con análisis secundario de base de datos de la cohorte CRONICAS. Resultados: Se trabajó con un total de 666 sujetos. La ecuación de Mjeor fue la que obtuvo la puntuación más alta de 0,95, un error medio porcentual absoluto (MAPE) inferior de 4,69%, y se encontró equivalencia con los valores del GER. En la regresión múltiple, se observó que la ecuación de Mjeor fue la que menos sobreestimó el GER, aumentando 0,77 Kcal/día (IC 95%: 0,769-0,814; p<0,001) por cada punto que aumentaba el GER determinado por bioimpedancia. La fuerza de asociación entre Mjeor y bioimpedancia fue de 0,9037. Además, en la regresión de los datos (peso, talla, edad) de la ecuación de Mjeor se observó que los coeficientes obtenidos eran los mismos que los utilizados en la ecuación original. Conclusiones: La ecuación de Mjeor parece ser la más adecuada para estimar el GER en la población peruana. Futuros estudios prospectivos deberán confirmar la utilidad de esta fórmula para su potencial utilidad en la atención primaria de salud(AU)
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Humains , Mâle , Femelle , Adolescent , Adulte , Adulte d'âge moyen , Études transversales , Impédance électrique , Métabolisme énergétique , Prévision , Indice de masse corporelle , 38409 , Régime alimentaire , ObésitéRÉSUMÉ
Objective:To calculate the scale of China's mental health treatment costs,analyze its financing structure,and provide a decision-making basis for optimizing China's mental health disease financing,prevention and control policies.Methods:System of Health Account 2011 was employed to calculate mental disorders(MDs)curative expenditure,and analyze the expenditure by health function,health provider and financing schemes.Results:In 2018,MDs curative expenditure in China was 87.17 billion yuan.Of MDs curative expenditure,over 84%occurred in hospitals,and over 66%was spent on inpatient care.31.80%of MDs curative expenditure was financed by Out-of-Pocket(OOP).Conclusion:China's mental health and mental disorders treatment costs are developing rapidly,the existing resource allocation is unreasonable,and there is an urgent need to optimize the function and institutional configuration.MDs patients and their families bare a high burden on MDs curative expenditure,and the financing policy needs to be further improved.
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Objective:To evaluate the effect of urban-rural integrated medical insurance on rural households'catastrophic health expenditure(CHE),thereby proposing targeted optimization strategies for the integration.Methods:Based on the five tracking data of the China Household Tracking Survey(CFPS)from 2010 to 2018,Process Specification Model-Dynamic Integrity Dimension(PSM-DID)was used to empirically test the impact of urban-rural integrated medical insurance on rural households'catastrophic health expenditures.Results:The urban-rural integrated medical insurance system significantly reduces the incidence of CHE in ru-ral households.Mechanism testing indicates that health levels,human capital expenditures,and household asset accumulation are important channels of action.Conclusion:It is suggested to continuously promote the urban-rural integrated medical insurance sys-tem,formulate comprehensive policies for medical insurance according to local conditions,and incorporate catastrophic health indi-cators into the detection and warning indicator system for rural residents returning to poverty.
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Objective By studying the changes in the institutional distribution of curative care expenditure(CCE)of the elderly population before and after the comprehensive reform medical-pharmaceutical separation and linkage of medical consumption,it provided data reference for the next step of accurately optimizing the elderly patients flow.Methods A multi-stage stratified whole-group sampling survey was used to select the sample.A System of Health Accounts 2011 was used to calculate the CCE of elderly patients in medical institutions.Results The CCE of medical institutions for the elderly population in Beijing increased from 60.457 billion yuan to 797.54 billion yuan,with an average annual growth rate of 6.83%,the fastest growth rate of 24.04%for community-based health treat-ment center.The percentage of CCE in the community increased from 11.31%to 17.71%,while the percentage of CCE in tertiary hospitals decreased by 4.39 percentage points.The flow of CCE for outpatient patients was obviously opti-mized.Younger elderly outpatient patients are more willing to seek treatment in the community,but the flow di-rection of outpatient treatment for elderly patients is more optimized.The CCE fpr elderly outpatient patients with chronic diseases such as endocrine,nutritional and metabolic diseases and nervous system diseases have been substantially transferred to the community-based health center.Conclusion The reform has different impacts on the treatment of elderly patients with different genders,ages and diseases.It is necessary to strengthen the service capacity building of primary medical institutions,highlight the development characteristics of secondary hospitals,and accurately improve the hierarchical diagnosis and treatment system for elderly patients.
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Objective: With the accelerated population aging, multimorbidity has become an important healthcare issue. However, few studies have examined multimorbidity and its impact on the use of medical and long-term care services in Japan. Therefore, this study aimed to examine the association between multimorbidity and the use of medical and long-term care services among older adults living in the depopulated mountainous areas of Japan.Patients and Methods: A cross-sectional study was conducted using insurance claims data from late-stage medical insurance and long-term care insurance (April 2017 to March 2018) for older adults ≥75 years residing in a mountainous area in the Tottori prefecture. In addition to the descriptive analysis, multiple generalized linear regressions with family gamma and log-link functions were used to examine the association between the number of morbidities and total annual medical and long-term care expenditures.Results: A total of 970 participants ≥75 years were included in the analysis. Participants who had two or more morbidities constituted 86.5% of the total sample. Furthermore, participants with mental disorders were found to have more comorbidities. The number of comorbidities is associated with higher medical and long-term care expenditures.Conclusion: Multimorbidity was dominant among late-stage older adults living in depopulated mountainous areas of Japan, and the number of morbidities was associated with higher economic costs of medical and long-term care services. Mitigating the impact of multimorbidity among older adults in depopulated regions of Japan is an urgent challenge. Future research should investigate the degree and effectiveness of social protections for vulnerable older adults living in remote areas.
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@#Introduction: This study looks at the patient’s perspective to determine the Catastrophic Health Expenditure (CHE) level and the possible factors which can be associated with CHE in cancer patients. Methods: This cross sectional study was done in National Cancer Institute, Malaysia with 206 patients sampled using the multilevel sampling method and data collected from interview with patients using a validated questionnaire. The CHE definition used in this study is when the monthly health expenditure exceeds more than 10% of the monthly household income. Results: This study showed a CHE level of 26.2%. CHE was higher in Indian ethnicity (P = 0.017), single marital status (P = 0.019), poverty income (P < 0.001), small household size (P = 0.006) and without Guarantee Letter (GL) (P = 0.002) groups. The significant predicting factors were poverty income aOR 5.60 (95% CI: 2.34 – 13.39), home distance near to hospital aOR 4.12 (95% CI: 1.74 – 9.76), small household size aOR 4.59 (95% CI: 1.07 – 19.72) and lack of Guarantee Letter aOR 3.21 (95% CI: 1.24 – 8.30). Conclusion: The information from this paper can be used by policy makers to formulate better strategies in terms of health financing so that high risk for CHE cancer patients groups can be protected under a better health financing system.
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Abstract Objective: The objective of this paper is assessed the nexus among health status, economic growth, and the Gini index in North America and its countries using a panel model. Materials and Method: The materials consist of annual data regarding life expectancy, government health expenditure as percentage of the gross domestic product, Gini index, and gross domestic product at constant 2015 US$ for the period 2000-2019. The method applies a panel model for North America and its three countries: Canada, Mexico and The United States. North America diversity treatment among countries is dealt with fixed and random effects. Results: North America inhabitants health status are negatively influenced by an increasing income inequality, and a reduction on economic growth. The country that expends more in health care is The United States, follow by Canada and Mexico. The biggest reduction on life expectancy from an increase in income inequality is in The United States, followed by Canada and Mexico. Life expectancy increases when Canada and The United States experience economic growth. The countries with inarticulate health policy responses to an increase in income inequality are first Mexico followed by The United States. Conclusions: In North America and its countries an increasing income inequality reduces life expectancy, and government health expenditure. Economic growth benefits life expectancy and government health expenditure. Health status seems to improve with a reduction in income inequality and a greater public health expenditure. Therefore, policies that increases income inequality and reduces public health expenditure seems to be advocates of a reduction: in health status, population welfare and economic growth.
Resumen: Objetivo: Un análisis cuantitativo de las relaciones entre salud, crecimiento económico e índice de Gini en América del Norte y sus países se realiza mediante un modelo de panel. El estado de salud está representado por la esperanza de vida y los sistemas de salud pública por el gasto público en salud. El crecimiento económico es el cambio porcentual del producto interno bruto. La desigualdad de ingresos se representa con el índice de Gini. Materiales y método: Los materiales consisten en datos anuales de esperanza de vida, gasto público en salud como porcentaje del producto interno bruto, índice de Gini y producto interno bruto en dólares estadounidenses constantes de 2015 para el período 2000-2019. El método consiste en aplicar un modelo de panel para América del Norte y sus tres países: Canadá, México y Estados Unidos. El tratamiento de la diversidad entre los países de América del Norte es abordada con efectos fijos y aleatorios. Resultados: El estado de salud de los habitantes de América del Norte se ve influenciado negativamente por la creciente desigualdad de ingresos y la reducción del crecimiento económico. El país que más gasta en salud es los Estados Unidos, seguido de Canadá y México. La mayor reducción en la esperanza de vida debido a un aumento en la desigualdad de ingresos se encuentra en los Estados Unidos, seguido de Canadá y México. La esperanza de vida aumenta cuando Canadá y Estados Unidos experimentan crecimiento económico. Los países con respuestas de política de salud desarticuladas ante un aumento en la desigualdad de ingresos son primero México seguido de Estados Unidos. Conclusiones: Las políticas que aumentan la desigualdad de ingresos y reducen el gasto público en salud parecen ser promotoras de una reducción: en el estado de salud, el bienestar de la población, y el crecimiento económico.
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INTRODUCCIÓN: Frente al fuerte incremento del gasto en salud, es necesario indagar si ha venido acompañado de aumentos proporcionales en la producción de atenciones de salud dirigidas a los beneficiarios del Fondo Nacional de Salud. MÉTODOS: En esta investigación observacional, descriptiva y longitudinal retrospectiva estimamos la eficiencia técnica del Sistema Nacional de Servicios de Salud a través del costo medio de producción y la productividad media del trabajo en el periodo de 2010 a 2019. RESULTADOS: Durante la década estudiada, la producción ha aumentado en torno al 6% anual; la dotación de trabajadores aumentó (mayormente en el estamento médico) 61%; el gasto en remuneraciones aumentó 106% real; el gasto en bienes y servicios de consumo ha aumentado 25% real; la eficiencia del gasto ha disminuido 21% y la productividad es el elemento menos dinámico del sistema con 0,6% de crecimiento medio anual. Tras sustraer el componente de exámenes diagnósticos, el escenario empeora. CONCLUSIONES: Los resultados muestran que el mayor gasto en salud no ha venido aparejado de aumentos proporcionales en producción, traduciéndose en una caída en la eficiencia del gasto sanitario y aumentos magros o caídas en productividad, según cómo se mida la producción. Esto hace que la estrategia de crecimiento del sector público dependa principalmente de aumentos en la dotación de trabajadores. Esta baja productividad constituye una limitante seria para mejorar el acceso de los beneficiarios del Fondo Nacional de Salud a las atenciones de salud y contribuye a incrementar las listas de espera. Especial atención debiera brindarse a los costos medios de producción y a la productividad media del trabajo en un escenario de menor dinamismo en el crecimiento del gasto público en salud y de reforma del sistema de salud.
INTRODUCTION: In view of the strong increase in health expenditure, it is necessary to investigate whether proportional increases in healthcare production for the beneficiaries of the National Health Fund have corresponded to this increase. METHODS: In this observational, descriptive, and retrospective longitudinal research, we estimate the technical efficiency of the National Health Services System through the average cost of production and average labor productivity in the period from 2010 to 2019. RESULTS: During the studied decade, production has increased by approximately 6% annually; the number of workers increased (mostly physicians) by 61%; spending on salaries increased by 106% in real terms; spending on consumer goods and services has increased by 25% in real terms; the efficiency of spending has decreased by 21%, and productivity is the least dynamic element of the system with an average annual growth rate of 0.6%. After subtracting the diagnostic tests component, this scenario worsens. CONCLUSIONS: The results show that higher health expenditure has not been matched by commensurate increases in output, translating into a fall in the efficiency of healthcare expenditure and meager increases or falls in productivity, depending on how the output is measured. This means that the public sector's growth strategy depends mainly on increases in the number of workers. This low productivity is a serious constraint to improving healthcare access for National Health Fund beneficiaries and contributes to increasing waiting lists. Special attention should be paid to average production costs and average labor productivity in a scenario of less dynamic growth in public health spending and health system reform.
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Humains , Santé publique , Dépenses de santé , Chili , Études rétrospectives , Accessibilité des services de santéRÉSUMÉ
Background & objectives: The Government of India has initiated a population based screening (PBS) for noncommunicable diseases (NCDs). A health technology assessment agency in India commissioned a study to assess the cost-effectiveness of screening diabetes and hypertension. The present study was undertaken to estimate the cost of PBS for Type II diabetes and hypertension. Second, out-of-pocket expenditure (OOPE) for outpatient care and health-related quality of life (HRQoL) among diabetes and hypertension patients were estimated. Methods: Economic cost of PBS of diabetes and hypertension was assessed using micro-costing methodology from a health system perspective in two States. A total of 165 outpatients with diabetes, 300 with hypertension and 497 with both were recruited to collect data on OOPE and HRQoL. Results: On coverage of 50 per cent, the PBS of diabetes and hypertension incurred a cost of ? 45.2 per person screened. The mean OOPE on outpatient consultation for a patient with diabetes, hypertension and both diabetes and hypertension was ? 4381 (95% confidence interval [CI]: 3786-4976), ? 1427 (95% CI: 1278-1576) and ? 3932 (95% CI: 3614-4250), respectively. Catastrophic health expenditure was incurred by 20, 1.3 and 14.8 per cent of patients with diabetes, hypertension and both diabetes and hypertension, respectively. The mean HRQoL score of patients with diabetes, hypertension and both was 0.76 (95% CI: 0.72-0.8), 0.89 (95% CI: 0.87-0.91) and 0.68 (95% CI: 0.66-0.7), respectively. Interpretations & conclusions: The findings of our study are useful for assessing cost-effectiveness of screening strategies for diabetes and hypertension.
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Background: The expenses that the patient or the family pays directly to the health care provider, without a third-party (insurer or State) is known as 'Out of Pocket Expenditure' (OOPE). These expenses could be medi-cal and non-medical. About 150 million people face financial catastrophe every year due to health care pay-ments and cancer is one of the leading causes of high OOPE. Objectives: This study was conducted to estimate the OOPE among cancer patients and to determine the OOPE in relation to type of cancer and treatment modality.Methodology: A cross sectional study was conducted at a tertiary care centre in Hyderabad during August and September,2022 with a total study population of 400 cancer patients. After consenting the participants, data was collected via face-to-face interview using a semi structured questionnaire. Results: The mean OOPE per patient was found to be $1032.65 (₹84,643.20). This includes the medical and non-medical costs. Leukaemia was found to have the highest OOPE amongst all cancers followed by colon cancer. Similarly, radiotherapy + surgery was found to have the highest OOPE followed by chemotherapy + radiotherapy + surgery.Conclusion And Interpretation- This study is unique in its way that no other study has considered OOPE for different cancers in single research. We would like to highlight the quantification of OOPE among various types of cancers and its variation based on treatment modality used. It is necessary that future government in-itiatives consider the importance of mitigating the OOPE along with provision of cancer care.
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La Tasa Metabólica en Reposo (TMR) suele calcularse utilizando ecuaciones de predicción por su fácil acceso y bajo costo. Sin embargo, estas ecuaciones no se encuentran validadas en población deportista con amputación. Objetivo: determinar la concordancia entre la medición de la TMR realizada por Calorimetría Indirecta (CI) y la calculada por ecuaciones de predicción en deportistas con amputación de miembros inferiores en Bogotá. Sujetos y métodos: Este estudio evaluó 16 deportistas adultos masculinos, con amputación de miembro inferior. La TMR se midió con CI y se calculó con las ecuaciones de predicción de Harris-Benedict, Cunningham, Mifflin -St. Jeor, Schofield y Oxford. Se utilizaron dos variables diferentes de masa corporal: masa corporal total (MCT) y masa magra (MM) determinada por Absorciometría de doble energía de rayos X (DEXA) y por el método antropométrico de fraccionamiento de masas en cinco componentes (5C). La concordancia se determinó a través del coeficiente de correlación intraclase (CCI) y se graficó mediante el método de Bland- Altman. Resultados y conclusión: La TMR determinada por la ecuación de Cunningham a partir de MM evaluada por DEXA, mostró la mejor concordancia con la CI (CCI= 0,709), seguida por Harris-Benedict con MCT (CCI= 0,697) y Cunningham con MM calculada por 5C (CCI= 0,693). La ecuación de Cunningham y Harris Benedict parecen ser las más adecuadas para calcular la TMR, sin embargo, se requieren más estudios con muestras mayores, lo cual permitirá obtener resultados más precisos.
Prediction equations for calculating resting metabolic rate (RMR) are widely used given their accessibility and low cost. However, they have not been yet validated in the amputee athlete population. Objective: to determine the concordance between the RMR measured by Indirect Calorimetry (IC) and that calculated by prediction equations in athletes with lower limb amputation in Bogota. Subjects and methods: sixteen adult male athletes with lower limb amputation were included. The RMR was measured with IC and calculated with the Harris-Benedict, Cunningham, Mifflin-St. Jeor, Schofield, and Oxford prediction equations. Three different body mass variables were used: total body mass (TBM) and lean body mass (LBM) determined by Dual Energy X-ray Absorptiometry (DEXA) and by the anthropometric method of mass fractionation into five components (5C). The agreement was determined by intraclass correlation coefficient (ICC) and plotted using the Bland-Altman method. Results and conclusions: RMR determined by the Cunningham equation from LBM assessed by DEXA showed the best agreement with CI (ICC= 0.709), followed by Harris-Benedict with MCT (ICC= 0.697) and Cunningham with LBM calculated by 5C (ICC= 0.693). The Cunningham and Harris-Benedict equation seems to be the most suitable for calculating RMR. However, more studies with larger samples are needed to obtain more accurate results.
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Objetivo : Determinar el impacto del aseguramiento en salud en la economía de los hogares peruanos en el periodo 2010-2019. Materiales y Métodos : Estudio analítico transversal, que utilizó la base de datos de la Encuesta Nacional de Hogares de los años 2010, 2014 y 2019 para analizar el impacto del aseguramiento en salud en términos de gasto de bolsillo en salud, gasto catastrófico y empobrecimiento de los hogares peruanos, así como determinar qué otros factores se encuentran asociados. Resultados : Durante el periodo de estudio se observó que los hogares peruanos presentaron una disminución del gasto de bolsillo en salud promedio mensual (S/.119,9 en 2010 a S/.107,9 en 2019), así como del porcentaje de hogares con gasto catastrófico en salud (4,06 % en 2010 a 3,47 % en 2019) y del porcentaje de hogares que empobrecen por gastos de bolsillo en salud (1,78 % en 2010 a 1,51 % en 2019). Los factores asociados al gasto catastrófico en salud y al empobrecimiento fueron el menor nivel de escolaridad del jefe del hogar, la presencia de miembros con enfermedad crónica y el área de residencia rural. La ausencia de aseguramiento en salud se asoció significativamente a un mayor riesgo de gasto de bolsillo en salud catastrófico, mas no al empobrecimiento. Conclusiones : El aumento de la cobertura de aseguramiento en salud contribuye a la protección financiera de los hogares peruanos frente al gasto de bolsillo en salud; sin embargo, las barreras para el acceso efectivo a los servicios de salud y otros factores socioeconómicos pueden limitar significativamente su impacto.
Objective : To determine the impact of health insurance in the economy of Peruvian households during the 2010-2019 period. Material and Methods : This is a cross-sectional analytical study that used the database of the National Peruvian Household Surveys from years 2010, 2014, and 2019, aiming to analyze the impact of health insurance in terms of pocket money spending for health issues, catastrophic healthcare spending, and impoverishment in Peruvian households, and also to determine the presence of other associated factors. Results : During the study period, it was observed that Peruvian households reduced their monthly average pocket money spending for health issues (119.9 PEN in 2010 and 107.9 PEN in 2029), as well as the percentage of household with catastrophic healthcare expenses (4.06% in 2010 to 3.47% in 2019), and the percentage of households who became impoverished because of pocket money expenses for health issues (1.78% in 2020 to 1.51% in 2019). Factors associated to catastrophic healthcare expenses and to impoverishment were lower educational level for the household leader, the presence of family members with chronic diseases, and living in a rural area. The absence of health insurance was significantly associated to a greater risk for catastrophic healthcare expenses, but not to impoverishment. Conclusions : Increased healthcare insurance coverage contributes to financial protection of Peruvian households against pocket money spending for health issues; however, barriers for effective access to healthcare services, and other socioeconomical factors may significantly limit this impact.
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Background: Tuberculosis (TB) patients suffer enormously due to huge cost on diagnosis and treatment. This study aims to assess the total expenditure and its predictors among patients of TB. Methodology: A longitudinal study was conducted among TB Patients registered in first quarter of 2018 at District Tuberculosis Center, Jammu. Data was collected by interviewing the patients and their attendants. Statistical significance of median expenditure between patients of pulmonary and extrapulmonary TB in rela-tion to various predictors was assessed using nonparametric tests followed by Multiple Linear Regression. Results: Total median cost, median direct and indirect cost incurred by a TB patient were recorded as USD 489.55, USD 246.55 and USD 229.5 respectively. Treatment costs were slightly higher in patients of pulmo-nary TB in comparison to extrapulmonary TB (p>0.05). On bivariate analysis, upper class, previously treated patients, Category 2 patients, with chronic illnesses, with guardians and who were employed expended signif-icantly higher amounts on their treatment, but on multivariate analysis, only formal employment, current earning and being reimbursed significantly predicted the total cost (p < .001, adjusted R square = 0.56). Conclusion: Huge direct costs incurred by patients is a matter of great concern, more so as the Indian gov-ernment has made all diagnostics and treatment free since the inception of the RNTCP.
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Objective: To compare the differences to determine resting energy expenditure (REE) measured with indirect calorimetry and REE predicted by formula method and body composition analyzer in patients with decompensated hepatitis B cirrhosis, so as to provide theoretical guidance for the implementation of precision nutrition intervention. Methods: Patients with decompensated hepatitis B cirrhosis who were admitted to Henan Provincial People's Hospital from April 2020 to December 2020 were collected. REE was determined by the body composition analyzer and the H-B formula method. Results: were analyzed and compared to REE measured by the metabolic cart. Results A total of 57 cases with liver cirrhosis were included in this study. Among them, 42 were male, aged (47.93 ± 8.62) years, and 15 were female aged (57.20 ± 11.34) years. REE measured value in males was (1 808.14 ± 201.47) kcal/d, compared with the results calculated by the H-B formula method and the measured result of body composition, and the difference was statistically significant (P = 0.002 and 0.003, respectively). REE measured value in females was (1 496.60 ± 131.28) kcal/d, compared with the results calculated by the H-B formula method and the measured result of body composition, and the difference was statistically significant (P = 0.016 and 0.004, respectively). REE measured with the metabolic cart had correlation with age and area of visceral fat in men (P = 0.021) and women (P = 0.037). Conclusion: Metabolic cart use will be more accurate to obtain resting energy expenditure in patients with decompensated hepatitis B cirrhosis. Body composition analyzer and formula method may underestimate REE predictions. Simultaneously, it is suggested that the effect of age on REE in H-B formula should be fully considered for male patients, while the area of visceral fat may have a certain impact on the interpretation of REE in female patients.
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Humains , Mâle , Femelle , Métabolisme énergétique , Cirrhose du foie/métabolisme , Calorimétrie indirecte/méthodes , HospitalisationRÉSUMÉ
OBJECTIVE@#To determine the thermic effect of food (TEF) in a Chinese mixed diet in young people.@*METHODS@#During the study, the participants were weighed and examined for body composition every morning. The total energy expenditure (TEE) of the participants was measured by the doubly labeled water method for 7 days, and during this period, basal energy expenditure was measured by indirect calorimetry and physical activity energy expenditure was measured by an accelerometer. The value obtained by subtracting basal energy expenditure and physical activity energy expenditure from TEE was used to calculate TEF.@*RESULTS@#Twenty healthy young students (18-30 years; 10 male) participated in the study. The energy intake of the participants was not significantly different from the Chinese Dietary Reference Intake of energy ( P > 0.05). The percentage of energy from protein, fat and carbohydrate were all in the normal range. The intakes of fruits, milk and dietary fiber of the participants were significantly lower than those in the Chinese Dietary Guidelines ( P < 0.05). There was no significant difference in the body weight of the participants during the experiment ( P > 0.05). When adjusted for body weight, there was no significant difference in either TEE or basal energy expenditure between the male and female participants ( P > 0.05). In addition, there was no significant difference in physical activity energy expenditure and TEF between the male and female participants ( P > 0.05). The percentage of TEF in TEE was 8.73%.@*CONCLUSION@#The percentage of TEF in TEE in a Chinese mixed diet in young people was significantly lower than 10% ( P < 0.001). A value of 10% is usually considered to be the TEF in mixed diets as a percentage of TEE.
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Adolescent , Femelle , Humains , Mâle , Jeune adulte , Adulte , Composition corporelle , Poids , Régime alimentaire , Peuples d'Asie de l'Est , Ration calorique , Métabolisme énergétique , Exercice physiqueRÉSUMÉ
Objective To investigate the medical expense control model of rational drug use based on the China healthcare security diagnosis related groups(CHS-DRG)simulation in Beijing in 2021.Methods By analyzing the simulated operation data from January to March 2021 before the intervention,the groups with rational drug management improving potential among the top three surgical disease groups in terms of the number of cases enrolled in the surgical department were selected.Then,the targeted intervention and guidance were implemented to the selected disease groups.Finally,the analysis was obtained by comparing the changes in several key indicators such as the average drug cost,average antibacterial drug cost,average surplus and average length of stay during June to August 2021.Moreover,the differences in antimicrobial drug use intensity and hospital infection reporting of the department as a whole where the problematic groups were located were also investigated.Results Before the intervention,the otolaryngology related groups(including DD29 and DE19),urology surgery related groups(including LD19 and LJ13)could be improved in antibacterial drug use during the perioperative period.Meanwhile,the chest surgery related group(including EB19)had space to be improved in auxiliary medication.After the intervention,the five groups'average drug cost and average antibacterial drug cost in the otolaryngology and urology surgery departments are all decreased.The antibiotics use intensity is also declined in otolaryngology and urology surgery departments.The average surplus of otolaryngology and urology surgery related groups are increased,with the DE19 disease group in ENT also achieving a profit turnaround.As for the indicators related to the quality of care,there were no significant differences in the groups'average length of stay and nosocomial infection reporting of these departments.Conclusion The hospital operation based on CHS-DRG payment is both an opportunity and a challenge.The all-inclusive payment model has prompted hospitals to take the initiative in controlling costs,and the exploration of a rational medication management and cost-control model related to disease groups has begun to show results in terms of cost reductions without affecting the quality of medical care.The research can also provide a solid foundation for the CHS-DRG actual payment and sustainable development of medical insurance fund.
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Objective:It aims to investigate the impact of tobacco use on Catastrophic Health Expenditure(CHE),providing a ba-sis for government investment in tobacco control and the formulation of effective anti-smoking policies.Methods:Based on the 2018 National Health Service Survey data from Shandong Province,the incidence rate,average overshoot gap,and relative overshoot gap of CHE under different thresholds for different household were calculated to analyze the distribution of tobacco-related diseases for smoking households.Results:In 2018,the overall incidence rate of CHE for current smoking households in Shandong Province was 13.56%(at a 40%threshold),with average overshoot gap and relative overshoot gap of 4.61%and 34.02%,respectively.As income levels decreased,the overall incidence rate of CHE increased.Rural current smoking households had higher overall incidence rates of CHE,average overshoot gap,and relative overshoot gap than urban households.Smoking households that experienced CHE were pri-marily afflicted with chronic diseases.Conclusion:The CHE risk is significantly higher in smoking households,particularly in rural and low-income households.It is recommend implementing a diverse range of promotional methods to strengthen anti-smoking health education,with a specific focus on intensifying awareness of the dangers of tobacco use in rural areas.Additionally,it is suggested to further increase tobacco taxes so as to reduce the motivation for smoking among low-income populations.
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In the management of obesity, aside from lifestyle interventions and surgery, pharmacotherapy is the most important choice. In recent years, research on the mechanisms of obesity and weight-loss drugs has been advancing rapidly. Exploring drugs that increase energy expenditure from the perspective of energy balance is beneficial for making clinical decisions based on the mechanisms of drugs and clinical needs in order to treat obesity effectively and improve the quality of life.
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Objective:To investigate the characteristics of resting energy expenditure (REE) in children with cerebral palsy (CP) graded with different levels of Gross Motor Function Classification System (GMFCS), and to evaluate the accuracy and association of commonly used REE prediction formulas in children with CP.Methods:It was a retrospective study involving 36 children with CP aged 24-144 months who visited the Third Affiliated Hospital of Zhengzhou University between September 2021 and August 2022.REE was measured by the indirect calorimetry.Based on the GMFCS, children with CP were divided into grade Ⅰ-Ⅱ group (20 cases), grade Ⅲ group (6 cases) and grade Ⅳ-Ⅴ group(10 cases). During the same period, 11 age-matched healthy children were included in control group.The measured REE (MREE) between children with CP and healthy controls was compared.Predicted REE (PREE) calculated by the Harris-Benedict, WHO, Schofield-W, Schofield-WH and Oxford prediction formulas were compared with MREE in children for their consistency and correlation.Independent samples were analyzed using t-test or Mann- Whitney U test, and categorical data were analyzed using Chi- square test.Using paired t-test and Pearson linear correlation analysis to analyze the correlation between MREE and PREE.The accuracy of PREE values calculated by different formulas was assessed using the root mean square error. Results:The MREE in control group and children with CP were (952.18±270.56) kcal/d and (801.81±201.89) kcal/d, respectively.There was no significant difference in the MREE between grade Ⅰ-Ⅱ group versus control group[(868.30±194.81) kcal/d vs.(952.18±270.56) kcal/d, P>0.05], and grade Ⅲ group versus control group [(813.17±192.48) kcal/d vs.(952.18±270.56) kcal/d, P>0.05]. The MREE was significantly lower in grade Ⅳ-Ⅴ group than that of control group [666.00(513.50, 775.50) kcal/d vs.(952.18±270.56) kcal/d, P=0.011]. There were no significant difference between MREE and PREEs calculated by Harris-Benedict, WHO, Schofield-W, Schofield-WH, and Oxford (all P>0.05). The correct classification fraction calculated by the 5 formulas were 33.3%, 47.2%, 41.7%, 47.2%, and 41.7%, respectively.The r values of the consistency of PREE calculated by the 5 formulas were 0.585, 0.700, 0.703, 0.712, and 0.701, respectively.The Blande-Altman Limits of Agreement were (-297.77, 359.22), (-245.60, 326.94), (-250.62, 316.05), (-242.22, 177.36) and (-241.28, 325.81), respectively.The clinically acceptable range was -80.18 to 80.18 kcal/d.The root mean square error were 168.09 kcal/d, 149.64 kcal/d, 146.24 kcal/d, 144.23 kcal/d and 148.77 kcal/d, respectively. Conclusions:The MREE values decreased significantly in children with CP classified as CMFCS grade Ⅳ and Ⅴ.When REE cannot be regularly monitored by indirect calorimetry to develop nutritional support programs, children with CP may be prioritized to estimate REE using the prediction formula of Schofield-WH.
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Objective:To explore the correlation between muscle CT measurement parameters, energy expenditure and acute exacerbation in patients with stable chronic obstructive pulmonary disease (COPD).Methods:The clinical data of 146 patients with stable COPD from March 2020 to November 2021 in Lu′an Hospital Affiliated to Anhui Medical University (Lu′an People′s Hospital) were retrospectively analyzed. The clinical data were recorded; the lung function was measured by bronchodilator test. The cross-sectional area and CT value of the pectoral muscle were measured by reconstructed CT images of the mediastinum; the total energy consumption was calculated by Weir formula. Acute exacerbations within 3 and 12 months were recorded. Multivariate Logistic regression was used to analyze the independent risk factors for acute exacerbation in patients with stable COPD. The receiver operating characteristic (ROC) curve was used to analyze the efficacy of total energy expenditure, pectoral muscle cross-sectional area and pectoral muscle CT value for predicting acute exacerbation in patients with stable COPD.Results:Among 146 patients with stable COPD, 38 cases (26.03%) developed acute exacerbation within 3 months (acute exacerbation group), and 108 cases (73.97%) did not develop acute exacerbation (non-acute exacerbation group). The proportion of age<60 years old, rate of acute exacerbation within 12 months and rate of pulmonary function grading Ⅲ to Ⅳ in acute exacerbation group were significantly higher than those in non-acute exacerbation group: 71.05% (27/38) vs. 47.22% (51/108), 52.63% (20/38) vs. 30.56% (33/108) and 63.16% (24/38) vs. 37.96% (41/108), the total energy consumption, pectoral muscle cross-sectional area and pectoral muscle CT value were significantly lower than those in non-acute exacerbation group: (2 036.28 ± 163.13) J/d vs. (2 389.59 ± 204.71) J/d, (28.79 ± 3.45) cm 2 vs. (31.61 ± 4.56) cm 2 and (29.79 ± 3.06) HU vs. (34.52 ± 4.38) HU, and there were statistical differences ( P<0.05 or <0.01). Multivariate Logistic regression analysis result showed that age ≥60 years old, lower total energy expenditure, smaller pectoral muscle cross-sectional area and lower pectoral muscle CT value were independent risk factors for acute exacerbation in patients with stable COPD ( OR = 26.493, 1.015, 1.245 and 1.437; 95% CI 3.745 to 187.405, 1.008 to 1.022, 1.002 to 1.546 and 1.109 to 1.861; P<0.01 or <0.05). The ROC curve analysis result showed that combined prediction of the total energy consumption, pectoral muscle cross-sectional area and pectoral muscle CT value for acute exacerbation in patients with stable COPD had the largest area under the curve (0.962), with a sensitivity of 86.1%, a specificity of 80.8%, and the optimal cutoff values of 2 206.12 J/d, 32.39 cm 2 and 31.63 HU, respectively. Conclusions:The elderly age, smaller pectoral muscle cross-sectional area, lower pectoral muscle CT value and lower total energy expenditure are independent risk factors for acute exacerbation in patients with stable COPD. The combination of pectoral muscle cross-sectional area, pectoral muscle CT value and total energy expenditure has a good predictive effect on the risk of acute exacerbation in patients with stable COPD, and relevant indexes can be paid attention to in clinical treatment.