ZJU Index as a Predictive Tool for Diabetes Incidence: Insights from a Population-Based Cohort Study

Background

In previous studies, the ZJU index was reported to be a superior predictor of nonalcoholic fatty liver disease in the Chinese population compared to the Fatty Liver Index. However, whether the ZJU Index is significantly associated with diabetes among Asian populations has not been determined.

Methods

The NAGALA study was carried out at Murakami Memorial Hospital (Gifu, Japan) beginning in 1994. This study included the data of the subjects who underwent health check-ups from 2004 to 2015. The ZJU Index comprises body mass index (BMI), fasting plasma glucose, triglyceride, and alanine aminotransferase-to-aspartate aminotransferase (ALT) levels and an adjustment point for females. We conducted Cox proportional hazard regression to evaluate the association between quartiles of the ZJU Index and the risk of incident diabetes.

Participants

A total of 15,464 individuals who underwent health check-ups were included in this study.

Results

A total of 373 cases of incident diabetes were documented during 93,350 person-years of follow-up. As the ZJU index increased, the incidence of diabetes gradually increased (P <0.001). According to the multivariable model adjusted for metabolic covariates, the fourth quartile of the ZJU Index was positively associated with the risk of diabetes compared to the first quartile (HR=2.519, 95% CI=1.297-4.891). Subgroup analysis revealed that the association between the ZJU index and diabetes risk was significant in subjects aged younger than 40 years (HR=3.327, 95% CI=1.544-7.171), in females (HR=4.480, 95% CI=1.302-15.419), in individuals with a BMI<25 kg/m2 (HR=3.812, 95% CI=1.992-7.293) and in individuals with a nonregular exercise (HR=2.479, 95% CI=1.193-5.152).

Conclusion

We observed a positive association between the ZJU Index and incident diabetes in the general population.

The ZJU index is associated with the risk of obstructive sleep apnea syndrome in Chinese middle-aged and older people: a cross-sectional study

BACKGROUND

The ZJU index, a novel calculation that combines body mass index, triglycerides, fasting blood glucose and the ratio of alanine aminotransferase to aspartate aminotransferase, is a closely related measure of obesity and insulin resistance. Studies of the ZJU index in relation to obstructive sleep apnea syndrome (OSAS) have not been reported. This study assessed the correlation between the ZJU values and OSAS risk.

METHODS

A total of 2,130 participants who underwent polysomnographic monitoring were included in the study. The participants' basic information and laboratory biochemical indicators were collected, and the ZJU index was computed. The ZJU index was divided into quartiles. The correlation between the different ZJU index levels and OSAS risk was assessed using logistic regression. Drew a receiver operating characteristic (ROC) relationship curve, with prediction efficacy judged by the area under the curve (AUC), and found the optimum cut-off point for ZJU index to predict OSAS. Relative risks were presented as odds ratios (OR). The range of OR values is expressed in the form of 95% confidence intervals (95% CI).

RESULTS

The number of patients diagnosed with OSAS increased progressively with increasing ZJU index (T1: 9.4%; T2: 20.6%; T3: 28.3%; T4: 41.7%; P < 0.001). The additional confounders were adjusted by the logistic regression models, the study revealed an independent correlation between ZJU index and OSAS. (P < 0.001). The OSAS risk was notably higher at the highest ZJU index levels. (OR = 2.046 [95% CI: 1.057 to 3.964]). The ROC curve for the ZJU index showed an AUC of 0.64 (P < 0.001) for males and 0.75 (P < 0.001) for females, with a specificity of 64% and 55% and a sensitivity of 60% and 92% for males and females, respectively, with the optimum cut-off values of 36.568 and 34.722, respectively.

CONCLUSION

A high ZJU index was significantly associated with an increasing risk of OSAS. The ZJU is expected to be a meaningful index for detecting OSAS in the general population.

Risk for the development of non-alcoholic fatty liver disease: A prospective study

BACKGROUND AND AIM

Non-invasive assessment was widely used to identify the risk of non-alcoholic fatty liver disease (NAFLD) among individuals with increased metabolic risks. This study aimed to investigate the prospective relationship between ZJU index and the development of NAFLD in a Chinese population.

METHODS

A cohort of 6310 initially NAFLD-free participants was enrolled in this prospective study. Abdominal ultrasound was used to diagnosis NAFLD. NAFLD incidence was calculated among participants with different baseline ZJU index quintiles. Cox proportional hazards regression analyses were conducted to calculate the risks for incident NAFLD.

RESULTS

During 37 705 person-year follow-ups, 1071 incident NAFLD cases were identified. The baseline ZJU index was linear and positively correlated with NAFLD incidence. The incidence was 5.53, 11.75, 23.77, 43.28, and 85.60 cases per 1000 person-year follow-up for participants with baseline ZJU index in quintiles 1-5, respectively. Compared with participants with baseline ZJU index in quintile 1, the hazard ratios (95% confidence interval) for incident NAFLD were 2.092 (1.458-3.002), 4.094 (2.942-5.698), 7.095 (5.167-9.742), and 13.191 (9.684-17.968) for participants with baseline ZJU index in quintiles 2-5, respectively. Further analysis found that the changes of ZJU index during follow-up was also independently associated with risk for incident NAFLD.

CONCLUSIONS

Baseline ZJU index and absolute ZJU index changes independently predicts the risk for incident NAFLD in Chinese population.

The ZJU index is a powerful index for identifying NAFLD in the general Chinese population

AIMS

The ZJU index is a novel model for detecting non-alcoholic fatty liver disease (NAFLD) that it is calculated based on combination of the body mass index, fasting plasma glucose, triglycerides, and the serum alanine aminotransferase-to-aspartate transaminase ratio. We aimed to evaluate the diagnostic accuracy of the ZJU index in detecting NAFLD in the Chinese population.

METHODS

This was a cross-sectional study. Anthropometric measurements, laboratory data, and ultrasonography features were collected through a standard protocol. The ZJU index, fatty liver index, hepatic steatosis index, lipid accumulation product, and visceral adiposity index were calculated. Then the predictive values of the five indices were compared according to the area under receiver-operating characteristic curve (AUROC) values.

RESULTS

A total of 19,804 participants were recruited, of whom 7324 participants were diagnosed with NFALD and 12,480 subjects were regarded as controls. The AUROC value for NAFLD identification by the ZJU index was 0.925 (95% confidence interval [CI]: 0.919-0.931), which was significantly higher than the values for the other four models (P < 0.001). Furthermore, from age 31 years to >60 years, the AUROC for the ZJU increased from 87.1 to 95.4%, values which were also greater than those for the other four indices. Analysis by sex also showed that the performance of the ZJU index in males and females was better than that of the other four indices.

CONCLUSIONS

The ZJU index is an accurate and easy to employ tool for identifying NAFLD in the general Chinese population.

The ZJU index: a useful indicator for recognizing insulin resistance in the Chinese general population

AIMS

Nonalcoholic fatty liver disease (NAFLD) is a hepatic manifestation of metabolic syndrome and is closely associated with insulin resistance (IR). The ZJU index is based on body mass index (BMI), fasting plasma glucose (FPG), triglycerides (TG) and the serum alanine aminotransferase-to-aspartate transaminase ratio, and is proven to be a novel and effective parameter for screening NAFLD in the Chinese population. We aimed to analyze the relationship between the ZJU index and IR.

METHODS

A cross-sectional study of 3329 Chinese adults was performed. Blood pressure (BP), anthropometric measurements and biochemical parameters were tested. The BMI, ZJU index and homeostasis model assessment of IR (HOMA-IR) were calculated.

RESULTS

In both genders, BP, waist circumference, BMI, total cholesterol, TG, low-density lipoprotein cholesterol levels, FPG, postprandial glucose levels, fasting insulin and the HOMA-IR gradually increased, while the HDL-C decreased across the quartiles of the ZJU index (P < 0.001). The logistic regression analysis showed that the risk of IR was significantly elevated in the highest quartile of the ZJU index. Additionally, the area under the receiver operating characteristic curve of the ZJU index was 0.833 (95 % CI 0.809-0.858) in males and 0.788 (95 % CI 0.758-0.818) in females and was relatively higher than other common variables.

CONCLUSIONS

The ZJU index is a useful indicator for recognizing IR in the Chinese general population.