[
    {
        "id": "osp-10339",
        "type": "article-journal",
        "title": "Inflammatory Markers as a Predictor of Postmenopausal Osteoporosis",
        "author": [
            {
                "family": "Al Salmani",
                "given": "Asma"
            },
            {
                "family": "Al-Shidhani",
                "given": "Asma"
            },
            {
                "family": "Al-Alawi",
                "given": "Nouf M."
            },
            {
                "family": "Al Sulaimi",
                "given": "Arwa A."
            },
            {
                "family": "Al-Hashemi",
                "given": "Maha A."
            }
        ],
        "URL": "https://omanscience.com/en/articles/inflammatory-markers-as-a-predictor-of-postmenopausal-osteoporosis",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2025
                ]
            ]
        },
        "container-title": "Sultan Qaboos University Medical Journal",
        "volume": "22",
        "issue": "4",
        "page": "508-514",
        "DOI": "10.18295/squmj.11.2021.145",
        "publisher": "Sultan Qaboos University",
        "ISSN": "2075-051X",
        "abstract": "Objectives: Postmenopausal osteoporosis is a progressive metabolic bone disease resulting from oestrogen deficiency. Due to the silent nature of the disease, there is an urgent need for a simple, early predictive marker. This study aimed to assess the potential of three factors—neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR) and platelet-to-lymphocyte ratio (PLR)—as inflammatory markers of bone mineral density (BMD) loss. Methods: A retrospective cross-sectional study was conducted among 450 postmenopausal Omani women undergoing dual-energy X-ray absorptiometry at the Sultan Qaboos University Hospital, Muscat, Oman, from January 2017 to December 2019. The participants were allocated to groups based on lumbar spine BMD t-score values. A receiver operating characteristic curve was used to determine the area under the curve (AUC). Multivariate logistic regression was performed to identify independent predictors of low BMD. Results: A total of 65 (14.4%), 164 (36.4%) and 221 (49.1%) women were allocated to the control, osteopenia and osteoporosis groups, respectively. No significant differences in PLR, MLR and NLR values were observed among the groups. BMD t-score values were reversely correlated with age (P = 0.007) and PLR (P = 0.004) and positively correlated with body mass index (BMI; P 65 years) and BMI ("
    }
]