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Atiase Y, Effah K, Mawusi Wormenor C, Tekpor E, Aku Catherine Morkli E, Boafo E, Yorke E, Aryee R, Essel NOM, Danyo S, Kemawor S, Akpalu J. Prevalence of high-risk human papillomavirus infection among women with diabetes mellitus in Accra, Ghana. BMC Womens Health 2024; 24:260. [PMID: 38664791 PMCID: PMC11044360 DOI: 10.1186/s12905-024-03078-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 04/04/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND There is increasing evidence of a higher risk and poorer prognosis of cervical cancer among women with diabetes mellitus (DM) compared to the general population. These are mediated by higher susceptibility to persistent high-risk human papillomavirus (hr-HPV) infection due to dysfunctional clearance in an immunocompromised state. We aimed to determine the prevalence of hr-HPV infection and cervical lesions in a cohort of women with DM in Ghana. We further disaggregated the prevalence according to DM type and explored factors associated with hr-HPV infection. METHODS This retrospective descriptive cross-sectional study assessed 198 women with DM who underwent cervical screening via concurrent hr-HPV DNA testing and visual inspection with acetic acid in an outpatient department of the National Diabetes Management and Research Centre in Korle-Bu Teaching Hospital, Accra from March to May 2022. Univariate and multivariable binary logistic regression were used to explore factors associated with hr-HPV positivity. RESULTS Among 198 women with DM (mean age, 60.2 ± 12.1 years), the overall hr-HPV prevalence rate was 21.7% (95% CI, 16.1-28.1), disaggregated as 1.5% (95% CI, 0.3-4.4) each for HPV16 and HPV18 and 20.7% (95% CI, 15.3-27.0) for other HPV genotype(s). Respective hr-HPV prevalence rates were 37.5% (95% CI, 15.2-64.6) for type 1 DM, 19.8% (95% CI, 13.9-26.7) for type 2 DM, and 25.0% (95% CI, 8.7-49.1) for unspecified/other DM types. Past use of the combined contraceptive pill independently increased the risk of hr-HPV infection by approximately three times (adjusted odds ratio [aOR] = 2.98; 95% CI, 1.03 - 8.64; p-value = 0.045), whereas each unit increase in FBG level increased the odds of hr-HPV infection by about 15% (aOR = 1.15; 95% CI, 1.02 - 1.30; p-value = 0.021). CONCLUSION Our study points to a high prevalence of hr-HPV among women with DM and highlights a need for glycemic control among them as this could contribute to lowering their odds of hr-HPV infection. The low overall rates of HPV vaccination and prior screening also indicate a need to build capacity and expand the scope of education and services offered to women with DM as regards cervical precancer screening.
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Affiliation(s)
- Yacoba Atiase
- Department of Medicine and Therapeutics, University of Ghana Medical School, P. O. Box GP 4236, Accra, Ghana.
- Department of Medicine and Therapeutics, Korle-Bu Teaching Hospital, Korle-Bu, P. O. Box KB 77, Accra, Ghana.
| | - Kofi Effah
- Catholic Hospital, Battor, P. O. Box 2, Battor, Ghana
| | | | - Ethel Tekpor
- Catholic Hospital, Battor, P. O. Box 2, Battor, Ghana
| | | | - Eunice Boafo
- Department of Medicine and Therapeutics, Korle-Bu Teaching Hospital, Korle-Bu, P. O. Box KB 77, Accra, Ghana
| | - Ernest Yorke
- Department of Medicine and Therapeutics, University of Ghana Medical School, P. O. Box GP 4236, Accra, Ghana
- Department of Medicine and Therapeutics, Korle-Bu Teaching Hospital, Korle-Bu, P. O. Box KB 77, Accra, Ghana
| | - Robert Aryee
- Department of Cardiology, University of Ghana Medical Center, P. O. Box LG 25, Accra, Ghana
| | - Nana Owusu Mensah Essel
- Department of Emergency Medicine, College of Health Sciences, Faculty of Medicine and Dentistry, University of Alberta, 730 University Terrace, Edmonton, AB, T6G 2T4, Canada
| | - Stephen Danyo
- Catholic Hospital, Battor, P. O. Box 2, Battor, Ghana
| | | | - Josephine Akpalu
- Department of Medicine and Therapeutics, University of Ghana Medical School, P. O. Box GP 4236, Accra, Ghana
- Department of Medicine and Therapeutics, Korle-Bu Teaching Hospital, Korle-Bu, P. O. Box KB 77, Accra, Ghana
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Jenkins DJA, Willett WC, Yusuf S, Hu FB, Glenn AJ, Liu S, Mente A, Miller V, Bangdiwala SI, Gerstein HC, Sieri S, Ferrari P, Patel AV, McCullough ML, Le Marchand L, Freedman ND, Loftfield E, Sinha R, Shu XO, Touvier M, Sawada N, Tsugane S, van den Brandt PA, Shuval K, Khan TA, Paquette M, Sahye-Pudaruth S, Patel D, Siu TFY, Srichaikul K, Kendall CWC, Sievenpiper JL. Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants. Lancet Diabetes Endocrinol 2024; 12:107-118. [PMID: 38272606 DOI: 10.1016/s2213-8587(23)00344-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND There is debate over whether the glycaemic index of foods relates to chronic disease. We aimed to assess the associations between glycaemic index (GI) and glycaemic load (GL) and type 2 diabetes, cardiovascular disease, diabetes-related cancers, and all-cause mortality. METHODS We did a meta-analysis of large cohorts (≥100 000 participants) identified from the Richard Doll Consortium. We searched the Cochrane Library, MEDLINE, PubMed, Embase, Web of Science, and Scopus for cohorts that prospectively examined associations between GI or GL and chronic disease outcomes published from database inception to Aug 4, 2023. Full-article review and extraction of summary estimates data were conducted by three independent reviewers. Primary outcomes were incident type 2 diabetes, total cardiovascular disease (including mortality), diabetes-related cancers (ie, bladder, breast, colorectal, endometrial, hepatic, pancreatic, and non-Hodgkin lymphoma), and all-cause mortality. We assessed comparisons between the lowest and highest quantiles of GI and GL, adjusting for dietary factors, and pooling their most adjusted relative risk (RR) estimates using a fixed-effects model. We also assessed associations between diets high in fibre and whole grains and the four main outcomes. The study protocol is registered with PROSPERO, CRD42023394689. FINDINGS From ten prospective large cohorts (six from the USA, one from Europe, two from Asia, and one international), we identified a total of 48 studies reporting associations between GI or GL and the outcomes of interest: 34 (71%) on various cancers, nine (19%) on cardiovascular disease, five (10%) on type 2 diabetes, and three (6%) on all-cause mortality. Consumption of high GI foods was associated with an increased incidence of type 2 diabetes (RR 1·27 [95% CI 1·21-1·34]; p<0·0001), total cardiovascular disease (1·15 [1·11-1·19]; p<0·0001), diabetes-related cancer (1·05 [1·02-1·08]; p=0·0010), and all-cause mortality (1·08 [1·05-1·12]; p<0·0001). Similar associations were seen between high GL and diabetes (RR 1·15 [95% CI 1·09-1·21]; p<0·0001) and total cardiovascular disease (1·15 [1·10-1·20]; p<0·0001). Associations between diets high in fibre and whole grains and the four main outcomes were similar to those for low GI diets. INTERPRETATION Dietary recommendations to reduce GI and GL could have effects on health outcomes that are similar to outcomes of recommendations to increase intake of fibre and whole grain. FUNDING Banting and Best and the Karuna Foundation.
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Affiliation(s)
- David J A Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada; Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.
| | - Walter C Willett
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Frank B Hu
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrea J Glenn
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, Department of Medicine, and Department of Surgery, Brown University, Providence, RI, USA
| | - Andrew Mente
- Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Victoria Miller
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Shrikant I Bangdiwala
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and Statistics, Nutritional Epidemiology Research Team, Bobigny, France; French Network for Nutrition and Cancer Research, Jouy-en-Josas, France
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; International University of Health and Welfare Graduate School of Public Health, Tokyo, Japan
| | - Piet A van den Brandt
- GROW School for Oncology and Developmental Biology, and Department of Epidemiology, Care and Public Health Research Institute-School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Tauseef Ahmad Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
| | - Melanie Paquette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sandhya Sahye-Pudaruth
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Darshna Patel
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Teenie Fei Yi Siu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Korbua Srichaikul
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; College of Pharmacy and Nutrition, University of Saskatchewan, SK, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada; Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
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Peppa M, Manta A, Mavroeidi I, Nastos C, Pikoulis E, Syrigos K, Bamias A. Dietary Approach of Patients with Hormone-Related Cancer Based on the Glycemic Index and Glycemic Load Estimates. Nutrients 2023; 15:3810. [PMID: 37686842 PMCID: PMC10490329 DOI: 10.3390/nu15173810] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/21/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
Hormone-related cancers, namely breast, endometrial, cervical, prostate, testicular, and thyroid, constitute a specific group of cancers dependent on hormone levels that play an essential role in cancer growth. In addition to the traditional risk factors, diet seems to be an important environmental factor that partially explains the steadily increased prevalence of this group of cancer. The composition of food, the dietary patterns, the endocrine-disrupting chemicals, and the way of food processing and preparation related to dietary advanced glycation end-product formation are all related to cancer. However, it remains unclear which specific dietary components mediate this relationship. Carbohydrates seem to be a risk factor for cancer in general and hormone-related cancers, in particular, with a difference between simple and complex carbohydrates. Glycemic index and glycemic load estimates reflect the effect of dietary carbohydrates on postprandial glucose concentrations. Several studies have investigated the relationship between the dietary glycemic index and glycemic load estimates with the natural course of cancer and, more specifically, hormone-related cancers. High glycemic index and glycemic load diets are associated with cancer development and worse prognosis, partially explained by the adverse effects on insulin metabolism, causing hyperinsulinemia and insulin resistance, and also by inflammation and oxidative stress induction. Herein, we review the existing data on the effect of diets focusing on the glycemic index and glycemic load estimates on hormone-related cancers.
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Affiliation(s)
- Melpomeni Peppa
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece; (A.M.); (I.M.)
| | - Aspasia Manta
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece; (A.M.); (I.M.)
| | - Ioanna Mavroeidi
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece; (A.M.); (I.M.)
| | - Constantinos Nastos
- 3rd Department of Surgery, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece; (C.N.); (E.P.)
| | - Emmanouil Pikoulis
- 3rd Department of Surgery, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece; (C.N.); (E.P.)
| | - Konstantinos Syrigos
- 3rd Department of Internal Medicine, Sotiria Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Aristotelis Bamias
- 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12641 Athens, Greece;
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Wang Z, Cheng S, Liu Y, Zhao R, Zhang J, Zhou X, Shu W, Feng D, Wang H. Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer. World J Surg Oncol 2023; 21:3. [PMID: 36611207 PMCID: PMC9824913 DOI: 10.1186/s12957-022-02875-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 12/09/2022] [Indexed: 01/08/2023] Open
Abstract
Protein ubiquitination is closely related to tumor occurrence and development. The specific role of ubiquitination in endometrial cancer remains largely unclear. Therefore, we constructed a novel endometrial cancer prognostic model based on ubiquitination-related genes. We extracted the expression matrices of ubiquitination-related genes from the Cancer Genome Atlas database, upon which we performed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses to obtain 22 ubiquitination-related genes for the construction of the prognostic model. Survival, regression, clinical correlation, and principal component analyses were performed to assess the performance of the model. Drug sensitivity analysis was performed based on these ubiquitination-related genes. Finally, a prognostic nomogram was constructed based on the prognostic model to quantify patient outcomes. Survival, regression, clinical correlation, and principal component analyses revealed that the performance of the prognostic model was satisfactory. Drug sensitivity analysis provided a potential direction for the treatment of endometrial cancer. The prognostic nomogram could be used to effectively estimate the survival rate of patients with endometrial cancer. In summary, we constructed a new endometrial cancer prognostic model and identified 5 differentially expressed, prognosis-associated, ubiquitination-related genes. These 5 genes are potential diagnostic and treatment targets for endometrial cancer.
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Affiliation(s)
- Ziwei Wang
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Shuangshuang Cheng
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Yan Liu
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Rong Zhao
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Jun Zhang
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Xing Zhou
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Wan Shu
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Dilu Feng
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
| | - Hongbo Wang
- grid.33199.310000 0004 0368 7223Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022 People’s Republic of China
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Zhou J, Wei XC, Xu HY, Hu HB, Li FX, Zhou WJ, Chen Y, Liu Z. Blood glucose levels and the risk of HPV multiple infections in high-grade squamous intraepithelial lesions: A retrospective cross-sectional study of Chinese patients. Medicine (Baltimore) 2022; 101:e30494. [PMID: 36123844 PMCID: PMC9478326 DOI: 10.1097/md.0000000000030494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Besides the controversy of the association of high glycemic index and glycemic load with precancerous cervical lesions, only a few studies have examined the impact of fasting blood glucose levels on human papillomavirus (HPV) multiple infections. In the present study, we appraised the relationship between blood glucose levels and multiple HPV infections in a population of HPV-positive women with cervical high-grade squamous intraepithelial lesions (HSIL). The present study was designed as a cross-sectional correlative analysis. A total of 560 participants with a pathologically confirmed HSIL with HPV infection were included from a hospital in China during January 1, 2018, and December 31, 2019. The target variables and the outcome variables were the glucose levels at the baseline and HPV multiplicity, respectively. The odds ratio and 95% confidence intervals were calculated to estimate the risk of multiple infections via logistic regression analysis. The average age of the 560 participants was 44.63 ± 10.61 years; the nonlinear relationship was detected between the glucose levels and multiplicity of HPV, with an inflection point at 5.4. After adjusting for the full range of variables, the effect sizes and confidence intervals for the left and right sides of the inflection points were found to be 0.379 (0.196-0.732) and 5.083 (1.592-16.229), respectively. In this cross-sectional study, both high and low blood glucose levels increased the risk of multiple HPV infections, demonstrating a U-shaped relationship between the blood glucose levels and multiple HPV infections.
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Affiliation(s)
- Jie Zhou
- Jinan University, Guangzhou, Guangdong, China
| | - Xiang Cai Wei
- Jinan University, Guangzhou, Guangdong, China
- * Correspondence: Xiang Cai Wei, Jinan University, Guangzhou, Guangdong, China (e-mail: )
| | - Hong Yan Xu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Hong Bo Hu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Fan Xiang Li
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | | | - Ye Chen
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Zhen Liu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
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