Alternative Indicators Research Articles

A narrative review of primary research endpoints of neoadjuvant therapy for lung cancer: past, present and future.

ObjectiveThis review summarizes the current status of neoadjuvant therapy and discusses the choice of new clinical research endpoints for non-small cell lung cancer.BackgroundNeoadjuvant chemotherapy is a recognized practice in patients with resectable and locally advanced lung cancer. With the introduction of molecular targeted drugs and immune checkpoint inhibitors (ICIs), the overall survival (OS) of patients with lung cancer has been significantly improved, and the original traditional clinical research endpoints are no longer suitable for existing clinical research. In order to accelerate the process of clinical trials and the development and approval of drugs, it is necessary to find suitable alternative indicators as the main indicators of clinical research.MethodsTherefore, this article focuses on clinical trials using disease-free survival (DFS), progression free survival, and pathological evaluation indicators, pathologic complete response and major pathologic response, as surrogate endpoints. We search related literature through PubMed database and clinical trials through clinicaltrials.gov.ConclusionsPathologic complete response and major pathologic response are recommended as surrogate endpoints in the era of neoadjuvant immunotherapy, and secondary endpoints are listed for the prediction of pathological results. In addition, the definitions of major pathological response (MPR) and PCR should be standardized, and a new pathological evaluation standard should be developed, which is applicable to all current treatment methods.KeywordsNeoadjuvant therapy; resectable lung cancer; clinical research endpoint; pathological response

Does financial development matter for domestic investment? Empirical evidence from India

PurposeThis paper empirically examines the impact of financial development on domestic investment in India for the period 1989–2017.Design/methodology/approachThis study employs the autoregressive distributed lag (ARDL) bounds testing approach to co-integration to test the long-run relationship between financial development and domestic investment. To test the direction of causality, Toda–Yamamoto causality test and vector error correction model (VECM) Granger causality/Block Exogeneity Wald test have been employed. Investment has been measured by Gross Capital Formation. To capture various aspects of financial development in India, eight alternative indicators (both bank based and market based) have been used. With the help selected indicators, a composite index (FINDEX) of financial development has been constructed using principal component analysis (PCA).FindingsThe estimated result finds evidence in favour of positive, short-run and long-run impact of financial development on investment in the Indian economy. Both bank-based and market-based indicators are found to significantly affect the level of investment. The significant effect of efficiency-based financial development indicators (both bank based and market based) upon domestic investment implies that there is a need to implement policies that ensure the efficiency of financial intermediation.Originality/valueTo the best of authors' knowledge, not much research has been done to explore the relationship between financial development and domestic investment, especially in the case of Indian economy. This study also tries to find the impact of bank-based and market-based financial development indicators upon domestic investment to explore banks vs market issue.

Global and Regional Financial Integration in Emerging Asia: Evidence from Stock Markets

This paper employs a price-based measure of integration, namely stock return differentials between ten emerging Asian economies and the US (as an indicator of global integration), as well as Japan and the Asian region (as two alternative indicators of regional integration), to test for mean reversion and draw inference on financial integration. It makes a three-fold contribution: it uses not only aggregate but also industry level data on stock returns; it examines the impact of the 2008 crisis; it employs a fractional integration approach to investigate the issues of interest. The evidence suggests that in emerging Asia there is more regional than global integration, and that the former has become even stronger in the post-2008 crisis period.

Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions

AbstractThis paper subjects six alternative indicators of global economic activity to empirically examine their relative predictive powers in the forecast of crude oil market volatility. GARCH‐MIDAS approach is constructed to accommodate all the relevant series at their available data frequencies, thereby circumventing information loss and any associated bias. We find evidence in support of global economic activity as a good predictor of energy market volatility. Our forecast evaluation of the various indicators places a higher weight on the newly developed indicator of global economic activity which is based on a set of 16 variables covering multiple dimensions of the global economy, whereas other indicators do not seem to capture. Furthermore, we find that accounting for any inherent asymmetry in the global economic activity proxies improves the forecast accuracy of the GARCH‐MIDAS‐X model for oil volatility. The results leading to these conclusions are robust to multiple forecast horizons and consistent across alternative energy sources.

The Association between Daily Fluid Balance and Mean Perfusion Pressure as a Critical Sign in the Intensive Care Unit of Adam Malik Central Hospital, Medan

BACKGROUND: The patient mortality rate in intensive care unit (ICU) is still high. However, we still lack measures to reduce this high mortality rate. Fluid balance is known as a marker for mortality in ICU. If the balance of fluid becomes more positive, the mortality rate consequently becomes higher. Positive fluid balance elevates central venous pressure (CVP), while this elevation increases the risk of renal failure and mortality. Mean perfusion pressure (MPP) is the difference between mean arterial pressure and CVP. AIM: We propose that the MPP value can be used as an alternative indicator to monitor excessive fluid balance since its measurement is faster and more accurate than the manual 24 h record of fluid balance. PATIENTS AND METHODS: It is expected that we can prevent excessive fluid accumulation and the subsequent mortality risk by monitoring MPP in the ICU. To investigate the association between MPP and daily fluid balance in the ICU, a prospective study was conducted from March 2016 to August 2018 in the ICU of Adam Malik Hospital, Medan. During the study period, 76 patients were admitted. Sixty-point 5% were male, with the mean age of 48.3 ± 16.5 years old. RESULTS: The overall mortality of 76 patients was 10.5%, and there was a significant negative correlation found between MPP and fluid balance (r = −0.204; p = 0.048), where a lower MPP value was associated with a more positive fluid balance. CONCLUSIONS: We conclude that there is a negative correlation between MPP and fluid balance, where a more positive fluid balance is associated with a lower MPP value. The positive fluid balance had been previously associated with increased mortality risk in the ICU.

Milk fatty acids as indicators of negative energy balance of dairy cows in early lactation

Most dairy cows experience negative energy balance (NEB) in early lactation because energy demand for milk synthesis is not met by energy intake. Excessive NEB may lead to metabolic disorders and impaired fertility. To optimize herd management, it is useful to detect cows in NEB in early lactation, but direct calculation of NEB is not feasible in commercial herds. Alternative methods rely on fat-to-protein ratio in milk or on concentrations of non-esterified fatty acids (NEFA) and β-hydroxybutyrate (BHB) in blood. Here, we considered methods to assess energy balance (EB) of dairy cows based on the fatty acid (FA) composition in milk. Short- and medium-chain FAs (primarily, C14:0) are typically synthesized de novo in the mammary gland and their proportions in milk fat decrease during NEB. Long-chain FAs C18:0 and C18:1 cis-9 are typically released from body fat depots during NEB, and their proportions increase. In this study, these FAs were routinely determined by Fourier-transform infrared spectroscopy (FTIR) of individual milk samples. We performed an experiment on 85 dairy cows in early lactation, fed the same concentrate ration of up to 5 kg per day and forage ad libitum. Daily milk yield and feed intake were automatically recorded. During lactation weeks 2, 4, and 6 after calving, two milk samples were collected for FTIR spectroscopy, Tuesday evening and Wednesday morning, blood plasma samples were collected Thursday morning. Net energy content in feed and net energy required for maintenance and lactation were estimated to derive EB, which was used to compare alternative indicators of severe NEB. Linear univariate models for EB based on NEFA concentration (deviance explained = 0.13) and other metabolites in blood plasma were outperformed by models based on concentrations of metabolites in milk: fat (0.27), fat-to-protein ratio (0.18), BHB (0.20), and especially C18:0 (0.28) and C18:1 cis-9 (0.39). Analysis of generalized additive models (GAM) revealed that models based on milk variables performed better than those based on blood plasma (deviance explained 0.46 vs. 0.21). C18:0 and C18:1 cis-9 also performed better in severe NEB prediction for EB cut-off values ranging from −50 to 0 MJ NEL/d. Overall, concentrations of C18:0 and C18:1 cis-9 in milk, milk fat, and milk BHB were the best variables for early detection of cows in severe NEB. Thus, milk FA concentrations in whole milk can be useful to identify NEB in early-lactation cows.

An empirical analysis of output volatility and environmental degradation: A spatial panel data approach

This study examines the effect of environmental degradation on output volatility using spatial panel data models namely spatial lag model (SLM), spatial error model (SEM) and spatial Durbin model (SDM). For a comparative analysis, non-spatial models namely pooled OLS, fixed effects and random effects are also employed. Environmental degradation is proxied through carbon dioxide (CO 2 ) emissions. The analysis is performed for 127 nations covering the period from 1996 to 2014. The findings reveal that environmental degradation increases output volatility in both non-spatial and spatial models. Furthermore, spillover effects of carbon emissions are positive and significant suggesting that national output volatility increases with the increase in adjacent economy’s carbon emissions. Further, the spatial parameters spatial rho and lambda are also positive and significant proving the arguments that output volatility in one specific location spillovers to the nearby neighbor and to the far away trading partner. These findings are robust to the use of methane emissions as an alternative environmental indicator. The findings suggest that to attain sustainable growth, regulatory authorities need to take actions for minimizing environmental degradation not only from its own country but also from the international community to control the environmental stress.

Liquidity injection, bank lending, and security holdings: The asymmetric effects in Vietnam

The study examines how banks rebalance their lending and security holdings in response to the monetary policy adjustments by the central bank's liquidity injection. It is concerned that banks may not use the additional liquidity to loan out to the economy, but they instead get more involved in security holdings. Using a sample of Vietnamese banks during 2007–2018, we find an asymmetric portfolio expansion strategy indicating that banks increase the purchases of securities far more rapidly than they treat their loan portfolio. Further analyzing the compositions of security holdings, we document that banks favorite government and financial bonds, as opposed to corporate bonds. This pattern implies that some capital flows seem not to reach the borrowers in the real sectors. Most prominently, we corroborate banks' asymmetric reactions according to the level of financial soundness. Concretely, less (compared to more) stable banks take more risks amid the monetary policy easing in the sense that their loan portfolio grows faster while their security holdings spread slower. All of our findings are robust across (i) changes in econometric techniques of static and dynamic panels, (ii) alternative indicators of monetary policy, (iii) different measures for bank soundness by the Z-score index and credit risk by non-performing loans, and (iv) multiple modified sets of control factors. Consequently, the securities preference over credit in the sound time may worry the regulatory authorities. This study feeds into the hot debate in Vietnam and other emerging countries as well, on the restriction of security trading and credit growth, and the scale of the central bank's asset purchases to avoid excessive liquidity.

Welcome Message from Editor-in-Chief of Journal of Clinical and Biomedical Investigation

This new Journal of Clinical and Biomedical Investigation appears as an expression of the vertiginous and rapid advancements in worldwide in biomedical Sciences and Clinical Research. It will be an online indexed journal in major bibliographic databases and adhere to strict standards of editorial quality in a globalized academic scenario. Our main goal is to publish the most relevant original research and secondly to obtain the broadest possible visibility and the widest dissemination of their scientific contents. We will also publish preliminary research communications, review papers and postgraduate thesis and seminars highly recommended by their mentors or advisors. We will adopt the peer review system and we ask to the authors to send the address and email of three reviewers. The prestige of our journal will be measured by its impact factor and other recent emerging and alternative indicators of research performance. Due to its complex nature modern biomedical research has become increasingly inter- and transdisciplinary and collaborative scientific work. Educational researchers should describe concepts, study design and methods in order to provide transparency, clarity, appropriate ethic guidelines, and a constructive and critical approach. In such a way we can obtain a modern and updated perspective that allows the readers interested to study in depth this emerging field of biomedical research.

Assessing alternatives to the development of administrativeeconomic units applying the FARE-M Method

The socio-economic development of economic-territorial units subordinate to administrative-management institutions appears as one of the main tasks. The values of alternative indicators reflecting socio-economic development may differ, which makes it difficult to unambiguously assess the importance of the indicators. The applied available methods are either too receptive or does not provide sufficient accuracy. The proposed FARE-M methodology for determining the importance of indicators is the prolongation of the technique for establishing the importance of FARE (Factor Relationship) weights already used for research purposes. The employed technique is based on the internal balance of system elements that is the essential systemic feature. This allows, unlike in the case of the AHP method, the weights of the indicators to be determined with reference to the first row of the data matrix only.

Competition and Agency Problems Within Banks: Evidence from Insider Lending

This paper studies whether greater competition can mitigate agency problems within banks. We measure the intensity of the agency conflict within a bank by the volume of loans that the bank lends to its insiders (e.g., executives). We first check that these loans are a form of private benefit. By exploiting interstate branching deregulation, we then show that banks react to greater competition by reducing insider lending, especially when the entry of new competitors may more strongly affect bank profitability. Results are robust to using various identification approaches and alternative indicators of agency conflict. We conclude that competitive pressure reduces managerial self-dealing. This paper was accepted by Gustavo Manso, finance.

Limits of the Glasgow Coma Scale When Assessing for Sepsis in Allogeneic Hematopoietic Cell Transplant Recipients.

The well-documented association between acute mental status changes and sepsis development and progression makes acute mental status an attractive factor for sepsis screening tools. However, the usefulness of acute mental status within these criteria is limited to the frequency and accuracy of its capture. The Glasgow Coma Scale (GCS) score-the acute mental status indicator in many clinical sepsis criteria-is infrequently captured among allogeneic hematopoietic cell transplant recipients with suspected infections, and its ability to serve as an indicator of acute mental status among this high-risk population is unknown. We evaluated the GCS score as an indicator of acute mental status during the 24 hours after suspected infection onset among allogeneic hematopoietic cell transplant recipients. Using data from the first 100 days posttransplant for patients transplanted at a single center between September 2010 and July 2017, we evaluated the GCS score as an indicator of documented acute mental status during the 24 hours after suspected infection onset. From all inpatients with suspected infections, we randomly selected a cohort based on previously published estimates of GCS score frequency among hematopoietic cell transplant recipients with suspected infections and performed chart review to ascertain documentation of clinical acute mental status within the 24 hours after suspected infection onset. A total of 773 patients had ≥1 suspected infections and experienced 1,655 suspected infections during follow-up-625 of which had an accompanying GCS score. Among the randomly selected cohort of 100 persons with suspected infection, 28 were accompanied with documented acute mental status, including 18 without a recorded GCS. In relation to documented acute mental status, the GCS had moderate to high sensitivity and high specificity. These data indicate that, among allogeneic hematopoietic cell transplant recipients with suspected infections, the GCS scores are infrequently collected and have a moderate sensitivity. If sepsis screening tools inclusive of acute mental status changes are to be used, nursing teams need to increase measurement of GCS scores among high sepsis risk patients or identify a standard alternative indicator.

Utility of Urinary Ratio of Cortisol to Aldosterone as Inflammatory and Metabolic Parameters

Corticosteroids are important bioactive substances in the body that regulate inflammation, metabolism, immunity, and circulatory dynamics. Cortisol and aldosterone are two major naturally occurring steroids, which synthesized in the adrenal fasciculata and in the adrenal glomerulosa under the regulation of adrenocorticotropin (ACTH) and renin-angiotensin system (RAS), respectively. The conventional strategy for evaluating adrenocortical function has been to measure random serum cortisol or 24-hour stored levels of urine free cortisol (UFC). UFC is a more appropriate marker to avoid the effects of diurnal fluctuation of cortisol, serum cortisol-binding proteins, and cortisol clearance in the kidney. Thus, measurement of UFC has been a reliable test for diagnosis of Cushing’s disease or adrenal insufficiency. However, since the normal range of UFC varies widely, it is often difficult to evaluate whether the UFC level is optimal or not for each patient. That is because UFC is greatly affected by the amount of fluid intake or urine volume, and an immunoassay for UFC, which is the usual method for measuring UFC, is susceptible to interference from other steroid metabolites and synthetic glucocorticoids. To explore an alternative indicator, we tried to standardize the levels of UFC by the levels of urinary aldosterone concentration (UAC) in the same urinary sample. Medical records of all 246 patients in whom daily excretions of UFC and UAC had been measured between 2015 and 2018 at our department were reviewed. 142 patients (including 93 females) were included after exclusion of 104 patients because of corticosteroid replacement therapy. UFC/UAC ratio showed significant positive and negative correlations with the levels of serum cortisol (R=0.287) and aldosterone (R=-0.762), respectively. UFC/UAC ratio increased with aging in female patients, while the ratio was not altered by the levels of BMI in either gender. Markers for metabolic and inflammatory status including hemoglobin A1c (R=0.327), albumin (R=-0.331), chorine esterase (R=-0.248), C-reactive protein (R=0.317), ferritin (R=0.473), and D-dimer (R=0.569) showed correlations to the ratio of UFC/UAC that were more significant than the correlations to the serum level of cortisol or UFC alone. Of note, the UFC/UAC ratio was shown as an indicator for risks of diabetes (AUC: 0.765), hypoalbuminemia (0.839), hyper-CRPemia (0.748), and thrombophilia (0.824), in which the cut-off levels of UFC/UAC ratios were found to be around 12. These results indicate that the UFC/UAC ratio is a suitable variable for the detection of metabolic and inflammatory complications related to adrenocortical dysfunction.

A study on tree bark samples for atmospheric pollution monitoring

Tree barks are considered a promising indicator of air pollution monitoring, because of its accumulation of aerosol particles, simplicity of species identification and wide geographical distribution. However, there are no established protocols for its sampling as well as there are no detailed studies on its usability as an alternative or complementary indicator of atmospheric pollution. In this study, barks from very common tree species, Sibipiruna (Poincianella pluviosa) and Tipuana (Tipuana tipu), were analyzed to define experimental conditions for their use as biomonitor of air pollution. Bark samples collected at the São Paulo city were cleaned and ground for analysis. Instrumental neutron activation analysis (INAA) was applied for the determination of As, Br, Ca, Co, Cr, Fe, K, Sb, Sc and Zn and graphite furnace atomic absorption spectrometry (GF AAS) for Cd and Pb. Results obtained in these analyses indicated that species of trees, bark surface layers taken for analysis as well as tree trunk diameter or tree age should be considered for use tree bark as a biomonitor. Analytical control of results carried out by analyzing certified reference materials demonstrated that INAA and GF AAS techniques can provide reliable data for element concentrations with standardized differences, |Enscore | < 1.

Analysis of Quantification and Mechanism of SBS Modifier in SBS-Modified Asphalt

The determination of styrene-butadiene-styrene (SBS) content in SBS-modified asphalt (SBSMA) is crucial in road quality control. In this study, a polystyrene (PS)-based index, which is an alternative indicator for the current polybutadiene (PB)-based index of SBS content determination in specification based on the Fourier transform infrared spectroscopy test, was proposed to provide a more accurate measurement. The influences of the types of base asphalt/SBS modifiers/solvents, sulfur stabilizers, and aging on SBS content determination were investigated based on both of the two indices. The results show that the PS-based index has higher accuracy and is recommended as the indicator in the content determination. The selections of the types of the base asphalt/SBS when preparing the calibration samples should correspond to those of the testing samples to avoid the measurement deviation. Trichloroethylene solvent has an interference influence on the characteristic peak of PB in SBSMA. The sulfur and aging both have a double-sided effect on the SBS content determination. Furthermore, the fluorescence microscopy test and the four-component test were conducted to correlate the compatibility of asphalt with SBS and the stability of the asphalt colloidal structure. The gel permeation chromatography test was also used to verify the influence of aging on the SBS content determination.

A finer-grained search reveals no evidence of the attentional capture by to-be-ignored features.

The contingent capture account of involuntary attention claims that it is guided by top-down factors, such as volitional goals or task instructions. The contrasting rapid disengagement account holds that the contingent capture account relies on the spatial precueing paradigm, which is vulnerable to the elimination of the cue-validity effect through rapid attentional disengagement. In the present study, five experiments were conducted to examine whether a spatial cue presented in a target-defining or distractor-defining color that predicted the location of a subsequently presented target at the chance level involuntarily captures attention by measuring the cue-validity effect. Additionally, to examine the influence of cue-target compatibility as an alternative indicator of attentional capture, an object identical to or different from the target object was presented at the cued location in the cue display in all experiments. The results showed that the cue-validity effect and the cue-target compatibility effect were present only when the target-color cue was presented. The object of the target display presented at the location cued by the target color was recognized even on invalid trials. By contrast, the distractor color cue did not show any indication of attentional capture or postattentive inhibition. These results imply that preattentive selection and postattentive inhibition depend on top-down attentional control setting. Furthermore, the absence of a cue-validity effect with a distractor feature is not due to the inhibition of the cued location after attentional disengagement.

Influence of initial material properties on the degradation of mortars with low expansion cements subjected to external sulfate attack

External sulphate attack consists in reactions between sulphate ions and hydration products causing crystallisation pressures then macroscopic expansion and cracking. The penetration of sulphates within the material is the rate-limiting step. Thus, laboratory tests can last a few years before giving usable results. Moreover some cement-based materials show relatively long latency period and low expansion, hence the need for accelerated testing procedure and/or alternative indicator to shorten the response time. It is possible to shorten the response time by stimulating the penetration of sulphates. This can be achieved by drying the material at 60 °C then to saturate it with a sulphate solution. The impact of this thermal pre-conditioning on the sulphate attack phenomenology still remains unclear. In this study, two sulphate-resisting cements, one Portland cement with low-C3A content (SR3) and a CEM III/B cement, and two blended slag-fly ash cements CEM V were subjected to external sulphate attack. The behaviour of mortars with and without thermal pre-conditioning was analysed. The microstructure of tested specimens was also studied using TGA, Hg-porosimetry, X-ray tomography, and XRD. Pre-conditioning did not influence the chemical properties of formed sulphate-rich phases but modified the microstructure of mortars with different trends depending on cement type. CEM V mortars with pre-conditioning showed finer porosity and lower volumes of precipitation. These modifications of mortar microstructure were consistent with the macroscopic behaviour of mortars with and without thermal pre-conditioning.

Reprint: Is China fudging its GDP figures? Evidence from trading partner data

We use Chinese imports, measured as reported exports of trading partners, as a benchmark to gauge the accuracy of alternative Chinese indicators (including GDP) of fluctuations in economic activity. Externally-reported imports are likely to be relatively well-measured and free from domestic manipulation. Using principal components, we derive activity indices from a wide range of indicators. We choose a preferred index of eight non-GDP indicators based on their fit to Chinese imports, which we call the China Cyclical Activity Tracker (or C-CAT). We find that Chinese statistics have broadly become more reliable in measuring cyclical fluctuations over time. However, measured GDP has been excessively smooth since 2013, and adds little information relative to combinations of other indicators.

Granulicatella adiacens Infective Endocarditis Treated With Teicoplanin and Ceftriaxone: A Case Report

Abstract We describe a case of infective endocarditis (IE) caused by Granulicatella adiacens in a patient who had fever for 4 months before admission. He had a complex medical history of active hyperthyroidism and schizophrenia, which might have misled the clinician in ignoring the existence of a serious infection like IE. A history of splenectomy and the likelihood of congenital cardiac valve deficiency were the possible underlying risk factors. His persistent leukocytosis perplexed our judgement in terms of resolution of infection and treatment efficacy, which was probably due to his splenectomy. C-reactive protein was the alternative laboratory indicator. Clinical and Laboratory Standards Institute criteria have not been established for the fastidious G. adiacens. Therefore, we referred to the viridans group streptococci and literature to evaluate antimicrobial susceptibility testing. We suggest that teicoplanin combined with ceftriaxone could serve as an effective therapy for IE caused by G. adiacens.

A nested case-control study on relationship of traditional and combined lipid metabolism indexes with incidence of diabetes

Objective: To explore the relationship between lipid indicators and the incidence of diabetes, and to compare the diabetes prediction and identification power of traditional lipid combined lipid indicators, in order to explore the best alternative indicators for identifying and predicting diabetes. Methods: Based on the Jinchang cohort, a nested case-control study was conducted in 1 025 new cases of diabetes after excluding patients with malignant tumor and related endocrine, circulatory system disease, then an age (±2 years), gender matched 1∶1 control group of 1 025 cases was set to analyze the relationship between the incidence of diabetes and lipid parameters. Results: Among the traditional lipid parameters, the fourth quartile of TG, TC, and LDL-C indicated higher risks of developing diabetes, which was 14.00 times (95%CI: 9.73-20.15), 2.15 times (95%CI: 1.65-2.79) and 1.66 times (95%CI: 1.29-2.14) than that of the first quartile, respectively. The risk of developing diabetes indicated by the fourth quartile of HDL-C was 0.21 times than that indicated by the first quartile (95%CI: 0.15-0.28). In the combined lipid parameters, the fourth quartile of TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C indicated higher risks of developing diabetes, which was 14.86 times (95%CI: 10.35-21.34), 8.12 times (95%CI: 5.94-11.01), 5.85 times (95%CI:4.34-7.88) and 5.20 times (95%CI: 3.85-7.03) than that indicated by the first quartile, respectively. The areas under the ROC curve of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 0.76 (95%CI: 0.74-0.78), 0.59 (95%CI: 0.57-0.61), 0.67 (95%CI: 0.65-0.69), 0.57 (95%CI: 0.55-0.59), 0.77 (95%CI: 0.75-0.78), 0.73 (95%CI: 0.71-0.75), 0.69 (95%CI: 0.67-0.71) and 0.66 (95%CI: 0.64-0.68), respectively. The optimal diabetes predicting point cuts of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 1.40, 4.70, 1.28, 3.25, 1.17, 3.43, 2.46, and 3.58 mmol/L, respectively. Conclusions: Lipid metabolic disorder is a risk factor for diabetes. TG and TG/HDL-C are the good lipid metabolism indicators for the prediction of diabetic.