Showing 4 results for Biomarkers
Prabhakar Adake, Abhishek Acharya, Susheela Halemani, Mahalaxmi Petimani,
Volume 16, Issue 1 (1-2022)
Abstract
Background and objectives: Coronavirus disease 2019 (COVID-19) has been reported to be more severe and highly fatal in patients with co-morbidities. Thyroid dysfunction leads to multisystem derangements, as thyroid hormones have major role in the development and functioning of all the human cells. The present study evaluated the variation in the clinical and biochemical parameters of COVID-19 patients with preexisting hypothyroidism.
Methods: This retrospective cohort study was carried out on eight COVID-19 patients with hypothyroidism who were admitted to a tertiary care hospital in Mangalore, India. Various clinical and biochemical parameters of the patients were recorded.
Results: Out of eight patients, three were men and five were women. With respect to other co-morbidities, six patients had associated type-2 diabetes mellitus and the remaining two patients had no other co-morbidities apart from hypothyroidism. Regarding the severity of COVID-19, one patient had mild symptoms, two had moderate symptoms, and the remaining five patients had severe COVID-19 symptoms. Most biochemical and hematological parameters in all patients were deranged from normal values. Moreover, only 25% of the patients recovered from the disease.
Conclusion: Most COVID-19 patients with hypothyroidism had low oxygen saturation and high level of inflammatory markers. In addition, the risk of mortality in COVID-19 patients with hypothyroidism and type 2 diabetes mellitus was higher compared to patients with hypothyroidism alone. It is recommended to closely monitor COVID-19 patients with hypothyroidism and limit the use of steroids during the course of treatment.
Jasmin Mulani, Bhalchandra Murhar, Rajesh Jambhulkar, Gyanshankar Mishra,
Volume 16, Issue 1 (1-2022)
Abstract
Background and objectives: Prolactin is a lactogenic protein hormone secreted by the anterior pituitary that initiates and maintains lactation in mammals. Previous research has linked increased serum prolactin levels to breast cancer. However, there is a paucity of studies in the Indian population on the subject. The present study evaluated and compared serum prolactin levels in patients with breast cancer and patients with benign breast diseases.
Methods: This cross-sectional, comparative study was carried out at the Government Medical College, Nagpur (India) on patients with breast diseases in the out-patient department/in-patient department from June 2018 to November 2020. Breast cancer patients were considered cases, and those with benign breast diseases were considered controls. Breast carcinoma diagnosis was based on clinical features, fine needle aspiration cytology, and tissue histopathology in operated specimens for each patient. Fasting serum prolactin levels were measured by the chemiluminescence immunoassay method using the Advia Centaur immunoassay system.
Results: There were 120 female patients with breast diseases, of whom 60 had breast malignancy, and 60 had benign breast diseases. The mean age of patients with benign breast disease and breast cancer was 33.17 (1.75) and 49.77 (1.16) years, respectively (P<0.0005). Increased serum prolactin levels were observed in 93.3% of patients with breast cancer and 13.3% of patients with benign breast diseases. The mean serum prolactin level was significantly higher among breast cancer patients (102.68±7.03) ng/ml compared with patients with benign breast disease (16.31±1.72 ng/ml). We successfully determined a new cut-off value of serum prolactin level (>40.2 ng/ml) to differentiate breast cancer from benign breast diseases using the receiver operating characteristic curve analysis.
Conclusion: Patients with breast cancer have increased serum prolactin levels compared to patients with benign breast diseases. Thus, serum prolactin level can be used as a diagnostic marker for breast cancer. This is particularly beneficial to clinicians for differentiating breast cancer from benign breast diseases.
Usha Patel, Nanda Jagrit, Toral Bhavsar, Shubham Panchal, Krutina Parikh, Himanshu Nayak,
Volume 17, Issue 3 (5-2023)
Abstract
Background and objectives: Mucormycosis is a complication in post-coronavirus disease 2019 (COVID-19) patients in India. This study was done to evaluate the prognostic value of clinical, histopathologic findings, microbiological features, and biochemical parameters such as D-dimer, lactate dehydrogenase, and serum ferritin in post- COVID-19-patients with rhino-orbital mucormycosis.
Methods: This retrospective observational study was carried out on biopsies taken from 50 post-COVID-19 patients suspected of mucormycosis. The biopsy specimens were processed and stained with hematoxylin and eosin, periodic acid–schiff, and Wright-Giemsa. In addition, 10–20% potassium hydroxide wet mount and culture on sabouraud dextrose agar were performed to detect Mucor. The biochemical parameters were measured using ARCHITECT ci8200 chemistry analyzer.
Results: Overall, 30 cases (60%) were positive for fungal elements, and growth of Mucor spp. was found in 28 cases (56%). In histopathology, 70% of cases (n=35) showed broad, aseptate, ribbon-like hyphae with wide-angled branching diagnostic of mucormycosis. There seemed to be a site-wise overlap between the nasal/maxillary sinus and rhino-orbital/rhino-cerebral variety. There was no difference between the patients in terms of gender. The most common risk factor was diabetes mellitus (observed in 80% of cases). In patients with invasive mucormycosis, inflammatory biomarkers such as serum ferritin, serum lactate dehydrogenase, C-reactive protein, and D-dimer were greater than the normal range, whereas procalcitonin was within the reference range.
Conclusion: It can be concluded that raised metabolic markers, direct 10% KOH examination and histological features including angioinvasion as well as rhino-orbital and cerebral extension might assist doctors in diagnosis, progression, and survival rate.
Merlin Matena, Gédéon N. Bongo, Honoré Ngbanda, Eddy B. Bakemo, Yves M. Mukaba, Jossard K. Munzumba, Justin M. Vuvu, Christel K. Kande, Jacques N. Ngayuna, Jonathan I. Kukila, Ngbolua Koto-Te-Nyiwa,
Volume 17, Issue 4 (7-2023)
Abstract
Background: COVID-19 is a viral infection caused by SARS-CoV-2, which enters the body via the ACE2 receptor. This study aims to evaluate the coagulation disorders of COVID-19 patients admitted to Centre Hospitalier Mère-Enfant Monkole, Kinshasa.
Methods: This descriptive cross-sectional hospital-based study of patient files was conducted between July 2020 and June 2021 at CHME-Monkole in Kinshasa. The sample size was 130 patients using a random sampling technique after interviewing the respondents. For each respondent, biological and socio-demographic data were collected on a questionnaire. The primary analyses included the determination of PT, APTT, Plasma determination of D-dimers, and platelet count. A descriptive analysis was performed for socio-demographic characteristics, while Pearson correlation was used to determine the associations between socio-demographic characteristics and different biological parameters using SPSS 25.0. For ethical reasons, informed consent from patients was sought, and confidentiality was assured. The authorization was provided by the Ethical Committee of CHME-Monkole (Ethical code: KIN/CHME/04/2020).
Results: The findings showed D-dimer levels higher than 500 µg/L in 87.7% of respondents, prolonged APTT (>40 seconds) in 43.1% of respondents, PT (<70%) in 36.9% of respondents, and thrombocytopenia (platelets <150,000) in 26.2% of respondents. A positive correlation was observed between socio-demographic characteristics and D-dimer levels.
Conclusion: SARS-CoV-2 infection has a significant impact on coagulation. Thus, determining these biomarkers could predict the risk of disease severity or death in patients with COVID-19.
