Article Text

Association of non-alcoholic fatty liver disease and polycystic ovarian syndrome
  1. Mohammad Maysara Asfari1,
  2. Muhammad Talal Sarmini2,
  3. Firas Baidoun3,
  4. Yasser Al-Khadra3,
  5. Yamen Ezaizi4,
  6. Srinivasan Dasarathy2,
  7. Arthur McCullough2
  1. 1Gastroenterology and Hepatology, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
  2. 2Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
  3. 3Internal Medicine, Cleveland Clinic, Cleveland, Ohio, USA
  4. 4Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
  1. Correspondence to Dr Mohammad Maysara Asfari; mma-86{at}hotmail.com

Abstract

Background Polycystic ovarian syndrome (PCOS) is a common endocrine disorder in women. Women with PCOS have androgen excess as a defining feature. They also have increased insulin resistance and obesity, which are also risk factors for non-alcoholic fatty liver disease (NAFLD). However, published data regarding PCOS as independent risk factor for NAFLD remain controversial. Therefore, we conducted this study to evaluate the association between PCOS and NAFLD using a large national database.

Methods We identified adult female patients (≥18 years) with PCOS using the National Inpatient Sample database between 2002 and 2014. The control group included patients who did not have a diagnosis of PCOS. Multivariate logistic regression analysis was performed to study the association of NAFLD with PCOS.

Results Out of a total of 50 785 354 women, 77 415 (0.15%) had PCOS. These patients were younger (32.7 vs 54.8; p<0.001) and more likely to be obese (29.4% vs 8.6%; p<0.001) compared with non-PCOS patients. However, the PCOS group had less hypertension (23.2% vs 39.8%), dyslipidaemia (12% vs 17.8%) and diabetes mellitus (18.1% vs 18.3%) (p<0.001 for all). Using multivariate logistic regression, patients with PCOS had significantly higher rate of NAFLD (OR 4.30, 95% CI 4.11 to 4.50, p<0.001).

Conclusion Our study showed that patients with PCOS have four times higher risk of developing NAFLD compared with women without PCOS. Further studies are needed to assess if specific PCOS treatments can affect NAFLD progression.

  • nonalcoholic steatohepatitis
  • liver
  • diabetes mellitus
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Summary box

What is already known about this subject?

  • Previous studies suggested that polycystic ovarian syndrome (PCOS) is an independent risk factor for non-alcoholic fatty liver disease (NAFLD), but these studies were limited in size.

What are the new findings?

  • We conducted a very large cross-sectional study and found that patients with PCOS have increased risk of NAFLD.

How might it impact on clinical practice in the foreseeable future?

  • Our study adds to the discussion about the role of PCOS in NAFLD formation.

Introduction

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease and is associated with significant morbidity and mortality in the USA.1 The prevalence of NAFLD has been increasing dramatically worldwide, particularly in Western countries.1 Although NAFLD can progress from accumulation of fat alone (steatosis) without inflammation, to necroinflammation (steatohepatitis), to cirrhosis, along with the sequelae of portal hypertension, majority of patients with NAFLD are asymptomatic.2

Polycystic ovarian syndrome (PCOS), also known as hyperandrogenic anovulation (HA), is one of the most common endocrine disorders in women of reproductive age. PCOS affects at least 6% of women in the USA based on the National Institutes of Health diagnostic criteria.3 The three essential components of PCOS are hyperandrogenism, ovulatory dysfunction and/or ultrasound findings of polycystic ovarian morphology.4

The major risk factors for NAFLD are obesity, diabetes mellitus (DM), dyslipidaemia and metabolic syndrome. These factors are also common comorbidities in patients with PCOS,1 5 6 which raises the question of a possible association between PCOS and metabolic syndrome. Multiple studies have shown an association between PCOS and NAFLD, with possible hyperandrogenism being an independent risk factor for NAFLD.2 7 8 However, other studies have pointed that hyperandrogenism does not increase the risk of NAFLD.9

Hence, the purposes of this study were to investigate the association between NAFLD and PCOS and to determine if PCOS is more associated with the development of NAFLD.

Methods

Patient population

This cross-sectional study was conducted using the National Inpatient Sample (NIS) data from 2002 to 2014. The NIS is the largest all-payer inpatient database in the USA and contains a sample of over eight million inpatient hospitalisations each year, which represents approximately 20% of all discharges from all community hospitals participating in the Healthcare Cost and Utilization Project (HCUP). It excludes rehabilitation and long-term acute care hospitals. Each record of the NIS data includes primary and secondary diagnoses up to 25 and primary and secondary procedures up to 15. It also contains patient demographics, discharge status, length of stay, disease severity, and comorbidity measures.

Study population, inclusion, and exclusion criteria

All adult female patients (≥18 years old) were included from the NIS during the years 2002–2014. Using the International Classification of Diseases Ninth Version (ICD-9) code, we identified all records with PCOS and NAFLD using the following codes: 256.4 and 571.8, respectively. Patient demographics and comorbidities were identified using the Clinical Classifications Software codes provided by the HCUP, the Elixhauser comorbidities and appropriate ICD-9 codes. Online supplementary tables 1 and 2 show the ICD-9 codes and Elixhauser comorbidities used for PCOS, NAFLD and other comorbidities of interest.

To assess the association between PCOS and NAFLD, we divided patients into two groups: women with PCOS (study group) and women without PCOS (control group). We computed a univariable and a multivariable logistic regression analysis comparing the two groups together after adjusting for potential confounding factors.

Statistical analysis

Data are expressed as mean±SD, and frequencies are reported in percentages. Independent t-tests were used for comparison of continuous variable measurements and χ2 test for categorical variables. Multiple logistic regression was used to assess the association between PCOS and NAFLD. The regression model was adjusted for patients’ age, race, gender, relevant comorbidities (hypertension, dyslipidaemia, obesity, hypothyroidism and DM), hospital location, patient medical insurance and socioeconomic status. P values less than 0.05 were considered statistically significant. SPSS V.25 software was used for all statistical analyses.

Results

Our nationwide cohort evaluated a total of 50 785 354 female hospital stays, of whom 77 415 (0.15%) had PCOS. As shown in table 1, patients with PCOS were younger (32.9 vs 54.8) and were less likely to be African–American (10.6% vs 14.6%) compared with patients without PCOS (p<0.001 for all). Patients in the PCOS group also had a higher prevalence of obesity (29.4% vs 8.6%) and hypothyroidism (12.2% vs 11.8%) compared with women without PCOS (p<0.001 for all). However, patients in the PCOS group had a lower prevalence of DM (18.1% vs 18.3%), dyslipidaemia (12% vs 17.8%) and hypertension (23.2% vs 39.8%) (p<0.001 for all) compared with the control group.

Table 1

Comparison of baseline characteristics between PCOS and non-PCOS patients

Using univariable logistic regression for the association between PCOS and NAFLD, patients with PCOS had almost eight times higher odds of having NAFLD (OR 7.86, 95% CI 7.54 to 8.18, p<0.001). After adjusting for possible confounding factors including patients’ age, race, gender, hospital location, medical insurance and socioeconomic status, and other relevant comorbidities (obesity, hypertension, dyslipidaemia, DM and hypothyroidism), patients in the PCOS group were still more likely to have NAFLD compared with patients in the control group (OR 4.30, 95% CI 4.11 to 4.50, p<0.001) (figure 1). Multivariate regression analysis is shown in table 2.

Figure 1

Association between polycystic ovarian syndrome and non-alcoholic fatty liver disease.

Table 2

Multivariate regression analysis for the association between PCOS and non-alcoholic fatty liver disease

Discussion

This analysis of a large nationwide data set demonstrates that women with PCOS are four times more likely to have NAFLD compared with patients without PCOS after adjusting for confounding factors such as obesity and DM.

NAFLD is the most common chronic liver disease in the USA and in the Western world.10 Patients with NAFLD may have a wide spectrum of histological findings, ranging from simple steatosis to non-alcoholic steatohepatitis (NASH) (which is characterised by steatosis along with varying degrees of ballooning, inflammation and fibrosis), and ultimately cirrhosis.

Women with PCOS, and similarly with NAFLD, have higher rates of metabolic syndrome and risk factors, including insulin resistance (IR), obesity, hyperlipidaemia and hypertension.11 12 Multiple studies have evaluated the prevalence of NAFLD in patients with PCOS. One study evaluated 85 premenopausal women with PCOS and found that 55% of the study group had NAFLD, but 40% of women with NAFLD had normal body mass index.13 A recent meta-analysis also found that women with PCOS have four times higher risk of developing NAFLD compared with a healthy control group.14

IR, which is a key feature of metabolic syndrome, increases lipolysis in the adipose tissue, which leads to an increased stream of fatty acids to the liver and consequently hepatic fat accumulation.15 Visceral adipose tissue is an important regulator of fat accumulation in the liver determined by the flow of fatty acids through the portal vein.16 Up to one-third of patients with liver steatosis will have inflammation and fibrosis in the liver, leading to NASH and consequently to cirrhosis.17 IR, obesity and oxidative stressors are reported by multiple studies as independent risk factors for inflammation and fibrosis development in patients with NAFLD.18–21

Although there is growing evidence on an association between PCOS and NAFLD, as they share similar metabolic comorbidities, the question remains whether androgen excess is a confounding factor for the development of NAFLD, in addition to a shared metabolic dysfunction. A large study in the UK22 evaluated 63 125 women to assess the risk factors for NAFLD in women with PCOS from 2000 until 2016. In that study, free testosterone level and decreased sex hormone binding protein were associated with an increased risk of NAFLD. Another cross-sectional study of 400 Chinese women with PCOS found that the free androgen index, which reflects androgen bioavailability, was associated with increased risk of NAFLD.23 Another meta-analysis also suggested that high androgen levels are associated with NAFLD in women with PCOS. Furthermore, Jones et al24 also suggested that women with PCOS and hyperandrogenism (HA) were more likely to have NAFLD compared with women with PCOS without HA, suggesting that elevated androgen levels contribute to NAFLD formation.

On the contrary, a few studies suggested that the androgen level did not increase the risk of NAFLD, but these studies were very limited in size.8 9

It is believed that androgen excess increases IR by affecting the insulin’s effect on muscle and peripheral tissues, increasing visceral adipose tissue and reducing the adiponectin, the main insulin-sensitising hormone of adipose tissue.5 In addition, IR increases central adiposity, which increases the free fatty acids flow to the liver through the portal vein, which contributes to NAFLD formation.10 16

Metformin is recommended for patients with PCOS with impaired fasting glucose or DM who do not respond to lifestyle modifications.24 25 In addition, metformin decreases the total testosterone levels and the free testosterone index in patients with PCOS.26–28 Given the favourable metabolic effects of metformin, it is plausible to suggest that metformin may be effective in decreasing the risk of NAFLD development in PCOS, but no long-term clinical trials have been conducted to confirm this theory.

To our knowledge, this is the largest cross-sectional study that has evaluated the association between PCOS and NAFLD in a large segment of the US population. This association can be explained by the proposed role of androgen excess in NAFLD development in patients with PCOS. Due to ICD-9 limitations, NIS cannot specify if the diagnosis of NAFLD was biopsy-proven or based on imaging studies. Also, NIS cannot provide clinical information about specific medication use or laboratory results for each individual, including androgen level. In addition, NIS relies on the accuracy of clinical data and validity of medical diagnoses, which might be different between individuals and facilities. Because NIS is based on inpatient data, this inclusion could lead to more sick individuals in the data, which might affect the generalisability of the results. These factors could explain the lower prevalence of PCOS in our database compared with the general population. The exclusion of academic hospitals by the database could potentially exclude patients with more complex disease.

This large nationwide database study showed a strong and independent association between PCOS and NAFLD after adjusting for potential confounding factors including DM and obesity. This finding supports the recent evidence that suggests hyperandrogenism contributes to NAFLD formation in these patients. Further studies are needed to assess the efficacy of specific treatments for NAFLD in women with PCOS.

References

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Supplementary materials

  • Supplementary Data

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Footnotes

  • MMA and MTS are joint first authors.

  • MMA and MTS contributed equally.

  • Presented at The abstract of this study was presented in the AASLD conference and has been published online at https://aasldpubs.onlinelibrary.wiley.com/doi/full/10.1002/hep.30257.

  • Correction notice The article has been corrected since it is published. Author name, Yamen Ezaizi has been updated.

  • Contributors MMA: study concept, data interpretation, manuscript writing and editing. MTS: manuscript editing, data interpretation, critical revision. FB, YA-K, YE, SD: manuscript editing, critical revision. AM: study concept, data interpretation, manuscript editing.

  • Funding The study was funded in part by NIH R21 AR071046 (SD); RO1 DK 113196 (SD); RO1 GM119174 (SD); R56HL141744 (SD); P50 AA024333 (SD); UO1 AA026976 (AM, SD); UO1 DK061732 (AM, SD).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval Because NIS is a publicly available database, institutional board review approval was not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available in a public, open access repository. This cross-sectional study was conducted using the National Inpatient Sample (NIS) data from 2002 to 2014. The NIS is the largest all-payer inpatient database in the USA and contains a sample of over eight million inpatient hospitalisations each year, which represents approximately 20% of all discharges from all community hospitals participating in the Healthcare Cost and Utilization Project.

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