Novel Application of the Traditional Lipid Ratios as Strong Risk Predictors of NASH

Abstract

Purpose

Limited data are available regarding the role of triglycerides, cholesterol and lipoproteins ratios as risk factors for nonalcoholic fatty liver disease (NAFLD) progression. In the present study, the investigators aimed to investigate the value of cardiovascular risk ratios of triglycerides, cholesterol, and lipoproteins as predictors of nonalcoholic steatohepatitis (NASH) and the correlation of such ratios with disease severity.

Patients and Methods

This study included 131 overweight and obese patients with NAFLD who were divided into NASH, borderline NASH, and non-NASH fatty liver (NNFL) subgroups according to NAFLD activity score (NAS) in liver biopsy, and 60 healthy participants as a control group. Lipid profile and lipid ratios including triglycerides/HDL (TGs/HDL), low-density lipoprotein/high-density lipoprotein (LDL/HDL) and total cholesterol/HDL (TC/HDL) ratios were measured.

Results

Significantly higher triglycerides/HDL ratio was found in NASH and borderline NASH, while higher cholesterol/HDL ratio was found in borderline NASH in comparison to controls. There were positive correlations between TGs/HDL and steatosis, ballooning, inflammation, BMI, and NAS; between LDL/HDL and inflammation; and between cholesterol/HDL and BMI, steatosis, and NAS. The highest AUC was that of TG/HDL (0.744), at a cut-off point of 3, with 71.8% sensitivity and 76.8% specificity.

Conclusion

Triglycerides, cholesterol and lipoprotein ratios showed higher levels in NASH and correlated with NAFLD severity, and above these cut-off ratios, we can rule in the NASH cases which confer also the cardiovascular morbidities. Structured lipid ratios could serve as markers to screen NASH progression from simple steatosis cases and clarify the link of NASH with the cardiovascular risk prediction in overweight and obese patients.

Keywords:

• nonalcoholic steatohepatitis
• triglycerides/HDL
• total cholesterol/HDL
• LDL/HDL
• borderline NASH

Introduction

Nonalcoholic fatty liver disease (NAFLD) is defined as one of the most prevalent chronic liver diseases having a considerable impact on the liver varying from hepatic inflammation to progressive fibrosis and eventually cirrhosis.¹ Thus, NAFLD may manifest as a benign condition called nonalcoholic fatty liver (NAFL) or simple steatosis, or as a nonalcoholic steatohepatitis (NASH) in which hepatic steatosis is associated with hepatic inflammation.²

Several risk factors for NAFLD progression include histological evidence of hepatic inflammation which is the most important risk factor, age greater than 45 or 50 years,³ diabetes mellitus,⁴ elevated serum aminotransferases,⁵ presence of ballooning degeneration plus Mallory hyaline, presence of fibrosis on biopsy,⁶ body mass index ≥28 kg/m2,⁷ and higher visceral adiposity index.⁸

About 20 to 80% of people with NASH have dyslipidemia such as high blood triglyceride (TGs), high blood cholesterol, and/or low high-density lipoprotein (HDL) levels.⁹ Several lipoprotein ratios have been defined to optimize the predictive capacity of the lipid profile in ischemic cardiovascular disease. Total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) known as the atherogenic index with greater predictive value than isolated parameters used independently. Triglycerides/HDL, Total cholesterol/HDL, and LDL/HDL ratios can provide information on risk factors that are difficult to quantify by routine analyses and could be a better mirror of the metabolic and clinical interactions between lipid fractions.¹⁰

Liver biopsy is the gold standard method for the diagnosis of NASH. However, liver biopsy is an invasive procedure that is associated with some pain or discomfort¹¹ with rare, but potentially life-threatening complications like bleeding¹² and is prone to sampling errors.¹³ In addition, given the numbers of patients with NAFLD, the use of liver biopsy in all cases would not be a practical choice based on clinical and financial basis.

There are multiple non-invasive serum markers which have been developed to predict disease progression from Non-NASH fatty liver “NNFL” to NASH. This study aimed to evaluate triglycerides/high-density lipoprotein-cholesterol (TGs/HDL-C), low-density lipoprotein/high-density lipoprotein-cholesterol (LDL/HDL-C), total cholesterol/HDL-cholesterol (TC/HDL-C) ratios as predictors of NASH and how far such markers could be correlated with disease severity.

Materials and Methods

Study Design

This is a case–control study from Cairo and Aim Shams Universities, Egypt. It was conducted on 191 individuals between May 2014 and Dec 2016.

Informed written consent was obtained from all participants in the study before enrolment. The study was conducted according to the local research governance requirements. The study protocol was accepted by the Research Ethical Committee of the Faculty of Medicine-Cairo University (N-17-2014).

Participants

191 participants were divided into 131 patients with NAFLD and 60 healthy subjects. The NAFLD patients were recruited from Gastroenterology, Hepatology, and Internal Medicine outpatient clinics of the Kasr El Ainy and Ain Shams University Hospitals. The healthy non-obese controls were recruited from healthy donors of living-related liver transplantation, for whom liver biopsy was routinely conducted.

All Adult patients with clinical, radiological, or histological evidence of NAFLD were included while, patients with alcoholic, viral, autoimmune, neoplastic, decompensated, or hereditary liver diseases, and those with familial hypercholesterolemia, thyroid disease chronic kidney disease, diabetes and hypertension, or concurrently with local or systemic infection and those on drugs such as steroids, retinoids, antiretrovirals, tamoxifen, and oral contraceptives were ruled out from the study.

Methods

All patients and healthy participants were subjected to complete medical history and clinical examination, including abdominal examination, waist circumference, and body mass index (BMI) measurement.

Biochemical Examination

The laboratory work was conducted at the Clinical Pathology Departments, Internal Medicine Hospitals, Cairo and Ain Shams Universities. Complete blood count (CBC) was performed using the Coulter counter (T660) (Beckman Coulter, Inc., Brea, CA, USA). Aspartate aminotransferase (AST), alanine aminotransferase (ALT), bilirubin, albumin, fasting blood sugar (FBS), 2 hrs postprandial blood sugar (2hPP), creatinine, and blood urea nitrogen (BUN) were estimated using Synchron CX9 auto-analyzer (Beckman Instruments Inc.; Scientific Instruments Division, Fullerton, Brea City, CA, USA). Prothrombin time (PT) and international normalized ratio (INR) were measured on Diagnostica Stago (Asnieres, France).

Lipid profile including total cholesterol (T-chol), triglycerides (TGs), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), was analyzed using Beckman Coulter AU480 System (Beckman Coulter, Inc., Brea, CA, USA). Samples for lipids were taken after 12 hrs of fasting. Calculation of TGs/HDL, LDL/HDL, and TC/HDL ratios was done.

Radiological Examination and Liver Biopsy

Abdominal ultrasound was conducted using a Toshiba Aplio XV scanner (Toshiba, Japan) equipped with a broadband 3.5–5 MHz curved array probe to assess the presence of liver steatosis and fibrosis.

Ultrasound-guided liver biopsies were conducted under conscious sedation using a 16-gauge semiautomatic tru-cut biopsy needle (GTA, UK) after a written consent. The length of the histological specimens was not less than 2.5 cm. The samples were fixed in 10% neutral-buffered formalin, embedded in paraffin blocks, and then cut into 5-μm-thick sections and stained with hematoxylin and eosin. They were examined under a light microscope for histopathologic confirmation of the diagnosis of NAFLD, grading of severity, and exclusion of other diseases. For differentiating NNFL from NASH, we calculated the NAFLD activity score (NAS).¹⁴ The NAS is the sum of the biopsy’s scores for steatosis (S0 to S3), lobular inflammation (0 to 3) and hepatocellular ballooning (0 to 2). A NAS <3 corresponds to NNFL, 3 to 4 corresponds to borderline NASH, and a score ≥5 corresponds to NASH.¹⁴

Grouping and Subgrouping

The studied patients were divided into three subgroups:

• NASH group included 46 patients with histological evidence of NASH and NAS= 5–8.

• Borderline NASH group which included 49 patients with NAS= 3–4.

• NNFL group which included 36 patients with histological evidence of simple steatosis and NAS= 0–2.

Statistical Methods

Data were coded and entered using the International Business Machines (IBM) statistical package for Social Sciences (SPSS version 24; Chicago, IL, USA). Data were summarized using mean and standard deviation (SD) for quantitative variables and frequencies (number of cases) and relative frequencies (percentages) for categorical variables. Comparisons between groups were done using unpaired t-test when comparing 2 groups, and analysis of variance (ANOVA) with multiple comparisons post hoc test when comparing more than 2 groups.¹⁵ For comparing categorical data, Chi-square (χ2) test was performed. Exact test was used instead when the expected frequency is less than 5.¹⁶ Correlation between quantitative variables was done using Pearson correlation coefficient.¹⁷ P-values less than 0.05 were considered as statistically significant. Receiver operating characteristic (ROC) curve analysis was carried out to test the diagnostic performance of a test or the accuracy of a test to discriminate diseased cases from normal cases. In the ROC curve, the true-positive rate (sensitivity) is plotted in function of the false-positive rate (100-specificity) for different cutoff points of a parameter. Each point on the ROC curve represents a sensitivity/specificity pair corresponding to a decision threshold. The area under the ROC curve (AUC) is a measure of how accurate a parameter can distinguish between two diagnostic groups (diseased/normal).

Results

The clinical and laboratory parameters of NAFLD patients and controls are shown in Table 1. NAFLD patients showed a statistically significant higher BMI, waist circumference, systolic and diastolic blood pressure, total leucocytic count, serum levels of AST and ALT, serum creatinine, fasting blood glucose, serum triglycerides, total cholesterol, LDL-C, TGs/HDL, LDL/HDL, total cholesterol/HDL ratios, and significant lower HDL levels. Their mean age was 40.6±9.8.

Table 1 Clinical and Laboratory Data of the NAFLD Patients and Controls

Parameter	NAFLD Patient (n=131)		Control (n=60)		P value
	Mean	SD	Mean	SD
Weight	79.06	12.95	70.00	8.19	0.002*
BMI	33.22	5.10	23.12	2.06	<0.001*
Waist Circumference	103.88	15.78	79.07	9.23	<0.001*
Systolic BP	137.58	14.77	120.83	7.44	<0.001*
Diastolic BP	82.10	9.11	75.33	6.94	0.002*
TC	200.10	33.52	158.93	16.14	<0.001*
TG	153.73	48.49	95.12	30.06	<0.001*
LDL	105.56	21.36	91.85	17.93	<0.001*
HDL	46.04	10.42	49.97	10.55	0.017*
FBS	104.70	20.06	91.80	10.70	<0.001*
2h PP	118.32	71.42	91.70	19.45	0.053
HA1C	5.31	1.40	4.82	0.52	0.074
AST	30.11	18.82	18.90	5.10	<0.001*
ALT	30.29	18.04	19.38	8.69	<0.001*
TGs/HDL	3.57	1.43	1.98	0.74	<0.001*
LDL/HDL	2.41	0.78	1.95	0.68	<0.001*
TC/HDL	4.53	1.12	3.32	0.81	<0.001*

Note: *Significant.

Abbreviations: N, number; SD, standard deviation; BMI, body mass index; BP, blood pressure; TC, total cholesterol; TG, triglycerides; LDL, low-density lipoproteins; HDL, high-density lipoproteins; FBS, fasting blood sugar; 2hPP, 2 hrs postprandial; HA1C, hemoglobin A 1 C; AST, aspartate aminotransferase; ALT, alanine aminotransferase.

In the current study, most of NAFLD patients (128, 97.7%) had no fibrosis in liver biopsy, while 3 patients (2.3%) had stage F1.

There is a female preponderance towards NASH. NNFL or Simple Steatosis subgroup included 36 patients (27.5% of NAFLD group), 13 females and 23 males, with a mean age of 33.17 ± 10.50 years. Borderline NASH subgroup included 49 patients (37.4% of NAFLD group), 46 females and 3 males, with mean age 42.55 ± 8.47 years. NASH subgroup included 46 patients (35.1% of NAFLD group), 43 females and 3 males, with a mean age 44.33 ± 7.28 years.

The mean of NAS was 5.33±0.6, 3.61±0.49, 1.33±0.4 in NASH, Borderline NASH, and NNFL groups, respectively (Table 2).

Table 2 Clinical and Laboratory Data in Subgroups of NAFLD Patients

Parameter	NAFLD Subgroups						P-value
	NASH		Borderline NASH		NNFL
	Mean	SD	Mean	SD	Mean	SD
Age	44.33	7.28	42.55	8.47	33.17	10.50	<0.001*
BMI	35.33	3.76	34.89	4.25	28.24	4.28	<0.001*
Waist Circumference	107.74	15.94	108.55	15.31	92.58	9.77	<0.001*
TC	200.89	30.51	208.73	34.03	187.33	33.40	0.013*
TG	162.61	41.33	171.43	36.25	118.28	53.87	<0.001*
LDL	106.48	18.26	104.80	24.86	105.42	20.41	0.929
HDL	44.35	9.20	46.06	9.86	48.17	12.38	0.260
FBS	103.07	12.98	111.41	22.18	97.67	22.04	0.005*
AST	37.61	24.42	28.71	16.26	22.44	7.00	0.001*
ALT	37.24	21.18	30.51	16.53	21.11	10.32	<0.001*
Alk.ph	65.54	18.76	66.49	18.56	72.83	25.14	0.240
TGs/HDL	3.85	1.32	3.89	1.15	2.76	1.61	<0.001*
LDL/HDL	2.48	0.64	2.42	0.95	2.31	0.69	0.613
TC/HDL	4.65	0.87	4.73	1.25	4.09	1.13	0.021*
NAS score	5.33	0.60	3.61	0.49	1.33	0.48	<0.001*

Note: *Significant.

Abbreviations: SD, standard deviation; BMI, body mass index; TC, total cholesterol; TG, triglycerides; LDL, low-density lipoproteins; HDL, high-density lipoproteins; AST, aspartate aminotransferase; ALT, alanine aminotransferase; Alk.ph, alkaline phosphatase.

Significant higher age, BMI, waist circumference, triglycerides, ALT, TG/HDL, were found in the NASH group when compared to the NNFL group, and in the Borderline NASH group in comparison to NNFL group. Significant higher total cholesterol, fasting blood sugar, and total cholesterol/HDL ratio were found in Borderline NASH when compared to the NNFL group. Significant higher AST was found in NASH group when compared to NNFL group; however, LDL/HDL-C was comparable in NASH and NNAFL (post hoc test)

There were significant positive correlations between TGs/HDL and each of age, BMI, waist circumference and NAS (r=0.27, 0.383, 0.337 & 0.312 with p=0.002, ˂ 0.001, ˂ 0.001& ˂ 0.001, respectively), as well as it was noticed that theses aforementioned variables were weakly correlated to T.cholesterol/HDL (r=0.264,0.193, 0.248 & 0.207 with p=0.002, 0.028, 0.004& 0.018, respectively) as shown in Figures 1–4.

Figure 1 Correlations of lipid profile and ratios with age.

Figure 2 Correlations of lipid profile and ratios with BMI.

Figure 3 Correlations of lipid profile and ratios with waist circumference.

Figure 4 Correlations of lipid profile and ratios with NAS score.

HA1C was significantly proportionate to TG/HDL, LDL/HDL and Cholesterol/HDL (r=0.508,0.456,& 0.414 with p=0.004, 0.01& 0.021, respectively).

On the other hand, there were no correlations between serum TC, TGs, LDL, TC/HDL, TGS/HDL, LDL/HDL ratios and liver enzymes or alkaline phosphatase.

ROC curve analysis was performed to evaluate the discriminate validity of these ratios as predictors of NASH disease. We analyzed the performance of these ratios at the well-determined cardiovascular risk cutoff values. The highest AUC was that of TG/HDL (0.744), at a cut-off point of 3, with 71.8% sensitivity and 76.8% specificity (Table 3).

Table 3 Cross-Tabulation to Determine a Cut-off Point of the TG/HDL, and TC/HDL in the Prediction of NAFLD Based on Cardiovascular Risk*

Marker	Cut Off Value	NAFLD	No NAFLD	Area Under Curve	p-value	χ^2	Positive LR	PPV	NPV	% Sensitivity	% Specificity
CHOL/HDL	>5	31	8	0.619	<0.001	16.744^a**	3.835	79.5%	57.2%	32.3%	91.6%
	≤5	65	87
TG/HDL	>3	69	22	0.744	<0.001	45.431	3.104	75.9%	73.0%	71.9%	76.8%
	≤3	27	73
LDL/HDL	>3.5	8	4	0.521	0.24	1.378^a***	1.979	66.7%	50.8%	8.3%	95.8%
	≤3.5	88	91

Notes: *Based on cardiovascular risk. a** 0 cells (0.0%) have expected count less than 5. The minimum expected count is 19.40a*** 0 cells (0.0%) have expected count less than 5. The minimum expected count is 5.97.

So above these cut-off ratios, we can rule in the NASH cases which confers cardiovascular morbidities.

As well as we used the med calc program to find out the optimal metric characteristics of these ratios applied to our cohort and revealed that TG/HDL and TC/HDL showed fair specificity but significant sensitivity in the prediction of NAFLD. Below these cut-off values, we can rule out the suspected cases of NAFLD. The highest AUC was that of TG/HDL, at a criterion of 2.3 with 91.7% sensitivity and 64.2% specificity (Table 4).

Table 4 Cross-Tabulation to Determine a Cut-off Point of the TG/HDL, and TC/HDL in the Prediction of NAFLD Based on Our Study Data*

Marker	Cut Off Value	NAFLD	No NAFLD	Area Under Curve	p-value	χ^2	Positive LR	PPV	NPV	% Sensitivity	% Specificity
CHOL/HDL	>3.7	78	27	0.764	<0.001	53.556	2.859	74.3%	79.0%	81.3%	71.6%
	≤3.7	18	68
TG/HDL	>2.3	88	34	0.779	<0.001	64.27	2.561	72.2%	88.4%	91.7%	64.2%
	≤2.3	8	61
LDL/HDL	>1.8	81	60	0.606	0.001	11.064	1.336	57.5%	70.0%	84.4%	36.8%
	≤1.8	15	35

Note: *Based on new data according to med calc.

Discussion

The current study revealed that not only dyslipidemia is a prominent feature in fatty liver disease patients, but and structured lipid ratios could serve as markers to screen NASH progression from simple steatosis cases and clarify the link of NASH as a severe form of NAFLD linked with the cardiovascular risk prediction in overweight and obese patients.

Limited data are available regarding the role of cholesterol and lipoprotein ratios as risk factors for NAFLD. Nevertheless, about two-thirds of plasma cholesterol is found in LDL and, accordingly, total and LDL cholesterol are closely related. Like the total cholesterol/HDL-C, LDL/HDL-C may have more predictive value if triglyceridemia is considered.¹⁸

NAFLD is strongly associated with metabolic syndrome, and it may be a prelude to its future development. In light of the potential associated major adverse cardiovascular risks with fatty liver disease, the importance of early diagnosis and treatment may be protective.¹⁰ The goal of the current study is to elucidate the predictive role of lipid profile ratios in diagnosing NAFLD concerning cardiovascular impact.

Significant higher TC, TG, LDL, TGs/HDL, TC/HDL, LDL/HDL, and lower HDL were found in the NAFLD group in comparison to normal controls. Also, significant higher TG, TGs/HDL, were found in NASH and borderline NASH groups in comparison to the NNFL group; and significant higher TC, TC/HDL were found in borderline NASH in comparison to NNFL in the present study. This agrees with the results of a large recent Chinese study done by Wu et al, in which adults with high TC/HDL-C or TG/HDL-C ratios, or both, had a greater risk for NAFLD, especially advanced NAFLD.¹⁹ Previous studies demonstrated an association between NASH and high levels of triglycerides, cholesterol and free fatty acids compared to subjects without NASH.²⁰ Reduced concentration of HDL cholesterol could be correlated with numerous risk factors, including the components of the metabolic syndrome.¹⁰

In the current study, there were positive correlations between TGs/HDL ratio and hepatic steatosis, inflammation, ballooning and NAS, and between serum TGs and hepatic inflammation, ballooning and NAS. In the initial “two-hit” model of the pathogenesis of NASH, excess TG accumulation resulting in hepatic steatosis was considered the primary harmful step for NASH development.²¹

In our study, there were significant positive correlations between TC/HDL ratio and steatosis and NAS, and between serum TC and steatosis, ballooning and NAS. There is evidence of increased hepatic cholesterol synthesis and a dysregulation of the cholesterol metabolism in NASH patients compared to lean and obese controls.²² Progressive increase of hepatic free cholesterol was observed in patients with NASH compared to patients without hepatic inflammation.²³ Numerous cholesterol-containing droplets and cholesterol crystals were demonstrated inside Kupffer cells in human NASH livers, which were not observed in patients with simple steatosis.²⁴ Thus, in addition to TGs, cholesterol is a significant risk factor for NASH.

In the present study, there was a significant positive correlation between LDL and LDL/HDL and hepatic inflammation. For cholesterol to be transported through the circulation, it is packaged into lipoproteins. Under normal circumstances, low-density lipoprotein (LDL) cholesterol is internalized into macrophages by LDL receptor-mediated endocytosis. However, under fat-rich conditions and thus high plasma LDL cholesterol levels, LDL cholesterol is taken up via the scavenger receptor-mediated pathway in an unlimited manner. In contrast to the LDL receptor, scavenger-receptor-mediated uptake is not downregulated in the presence of high LDL cholesterol concentrations. As such, the uncontrolled scavenger receptor-mediated uptake of LDL cholesterol into the liver is responsible for the generation of lipid-laden (foamy) Kupffer cells and cholesterol crystals, which both are crucial events for the development of NASH.²⁵ The formation of cholesterol crystals is the consequence of the long-term intracellular accumulation of free cholesterol, which in turn may trigger inflammation.²⁶ Additionally, LDL cholesterol is highly susceptible to oxidative damage and is transformed into a harmful oxidized LDL (oxLDL) lipid, which was found to be elevated in the plasma of NASH patients.²⁷ Cholesterol accumulation inside hepatocytes may sensitize these cells to transforming growth factor-beta (TGF-β) induced activation in a vicious cycle, resulting in enhanced cholesterol accumulation, NASH development, and subsequent liver damage.²⁸

There were positive correlations between TGs/HDL and age, BMI, waist circumference, diastolic blood pressure, fasting and 2 hrs postprandial blood sugar, and HA1C in NAFLD patients. This agrees with a previous study on pediatric and adolescent population by Pacifico et al²⁹ in which there was a progressive increase in BMI, waist circumference, blood pressure, glucose values with increasing TG/HDL-C values.²⁹

In the current study, significant higher systolic and diastolic blood pressure measures were found in NAFLD patients when compared to controls. This agrees with Li et al, who found a significant association between NAFLD and the risk of hypertension especially in males.³⁰

A higher number and percentage of female patients were found in NASH and Borderline NASH subgroups in the present study comparing to healthy participants and NNFL patients. Although early studies emphasized that NAFLD was more common in women,² previous studies had shown that NAFLD has a more even distribution between men and women.³¹ Based on the third National Health and Nutrition Examination Survey (NHANES) data, most of the studies reported that NAFLD is significantly more prevalent in men than in women.³² However, after dichotomizing individuals into lean and overweight-obese groups, Younossi et al,³³ reported that the lean NAFLD cohort was more commonly female. Using data from the characterized NASH Clinical Research Network (CRN), patients with biopsy-proven NASH were more likely to be female than male in a roughly 2:1 ratio; possibly reflecting a higher disease burden in women.³⁴ Those previous findings highlight uncertainties regarding the influence of gender on NAFLD. Higher waist-to-hip circumference (WHR) ratio in men which correlates with visceral adiposity and is associated with both peripheral and hepatic insulin resistance (IR), together with the protective role of females’ sex hormone, are suggested factors that may influence the gender differences in the prevalence of NAFLD.

There were significantly higher weight, waist circumference, BMI, FBS, liver enzymes in the NAFLD group, NASH and borderline NASH subgroups when compared with healthy participants and NNFL patients in the present study. In a large meta-analysis study done by Younossi et al, metabolic comorbidities associated with NAFLD included obesity, type 2 diabetes, hyperlipidemia, hypertension, and metabolic syndrome.³⁵

Attempting to evaluate the performance of these simple structured ratios, in the present study, we used first the well-determined cardiovascular risk ratios that showed better specificity to detect the true negative cases among healthy subjects, so subjects with values above cardiovascular ratios are strongly linked to NAFLD. While the calculated cut-off values according to our studied population, TG/HDL, TC/HDL and LDL/HDL were found to be at lower values than CVD risk ratios (3.7, 2.7 and 1.8, respectively) with fair specificity but significant sensitivity in prediction of NAFLD. Below these values, we can rule out the suspected cases of NAFLD. The highest AUC was that of TG/HDL, at a criterion of 2.3 with 91.7% sensitivity and 64.2% specificity.

TG/HDL was found to be superior parameter which can distinguish between two diagnostic groups (NAFLD and NNAF) on different plotted cut-off values according to cardiovascular risk ratios and the selected points by Medcalc system, so that it can be considered a better predictor for NAFLD and Cardiovascular complications, this finding goes in line with recently found by Chen et al.³⁶

Given the role of NAFLD as an independent cardiovascular risk factor, so early detection and management might precede the occurrence of CVD morbidities,³⁷ thus our newly depicted cut-off ratios could be used to screen every suspected case of NASH for earlier diagnosis compared to those of cardiovascular risk.

The shortcoming of this study lies in the small-sized sample that needs further study for more confirmative results about these ratios and the cross-sectional nature of the study; however, our findings may provide a basis to implement policy using simple markers to detect NAFLD cases.

Conclusion

Not only higher serum cholesterol, lipids, and lipoprotein ratios were demonstrated in NASH and Borderline NASH patients in comparison to NNFL patients; moreover, lipid ratios particularly TG/HDL were highly linked to NASH progression from simple steatosis cases and Cardiovascular risk side by side, which might be expected to better guide early identification of individuals at risk.

Acknowledgments

The authors thank Dr. Abeer M. ElSayed, consultant at the pathology department, National Cancer Institute, Cairo University, Cairo, Egypt, for her help in the histopathological examination of liver biopsies obtained from the participants. The authors also thank Dr. Mohamed Eshra, lecturer of physiology, Faculty of Medicine, Cairo University, Cairo, Egypt, for his help in the statistical analysis of the results. We thank all the participants in our study for their valuable contribution as well.

Disclosure

The authors report no funding and no conflicts of interest in this work.