Prospective observational study of adverse drug reactions of anticancer drugs used in cancer treatment in a tertiary care hospital

Abstract

Saini, et al.: Observational Study of ADRs in Cancer Chemotherapy Adverse drug reactions associated with the use of anticancer drugs are a worldwide problem and cannot be ignored. Adverse drug reactions can range from nausea, vomiting or any other mild reaction to severe myelosuppression. The study was planned to observe the suspected adverse drug reactions of cancer chemotherapy in patients aged >18 years having cancer attending Postgraduate Institute of Medical Education and Research, Chandigarh. During the study period, 101 patients of breast cancer and 73 patients of lung cancer were screened for occurrence of adverse drug reactions during their treatment with chemotherapy. About 87.36% patients experienced adverse drug reactions, 90.09% and 83.56% of breast and lung cancer patients experienced at least one adverse drug reaction respectively.In breast cancer patients, 41.58% patients were prescribed fluorouracil+doxorubicin+cyclophosphamide while paclitaxel was prescribed to 22.77% patients. Alopecia (54.94%), nail discolouration (43.96%), dysgeusia (38.46%), anorexia (30.77%), nausea (29.67%), and neuropathy (29.67%) were found to be very common in breast cancer patients treated with single/combined regimen. In lung cancer group of patients, cisplatin with docetaxel, cisplatin with pemetrexed and cisplatin with irinotecan were prescribed to 30.14, 24.65 and 17.81% patients, respectively. Dysgeusia (40.98%), diarrhoea (39.34%), anorexia (32.77%) and constipation (31.15%) and alopecia (31.15%) were commonly observed adverse drug reactions having lung cancer patients. Causality assessments using World Health Organization causality assessment scale showed that observed adverse drug reactions were of probable (64.67%) and possible (35.33%) categories. Alopecia, dysgeusia, anorexia, constipation diarrhoea, nausea, nail discoloration were more prevalent amongst the cancer patients undergoing chemotherapy.

Assessment of adverse drug reactions in oral cancer patients receiving chemotherapy treatment at tertiary care centres in North-Western India

“…Alopecia was the most common adverse effect noted in 26.44 % patients, followed by nausea and anaemia in 15.7 % and 9.9 % patients, respectively. These findings were quite similar to a study by Saini et al 6 However, these results were in contrast to a few previous studies which reported neutropenia and constipation as the most common ADRs. 28,29 This difference could be due to a difference in the usage pattern of different chemotherapy drugs used to treat different malignancies.…”

“…Cancer chemotherapy utilises either single or combination of anti-neoplastic drugs in a standardised regimen as prescribed for the management of neoplasia. 6 It is imperative to monitor adverse drug reactions (ADRs) in oncology, where pharmacotherapy is linked by high prevalence of drug-related complications due to their narrow therapeutic window. 7 Chemotherapy adversely affects the quality of life in cancer patients and may land them in a series of misfortunes that includes feelings of low mood, restricted mobility, low sexual desire, reduced social interaction and undermining capabilities at work.…”

Improved Anticancer Effect of Magnetite Nanocomposite Formulation of GALLIC Acid (Fe3O4-PEG-GA) Against Lung, Breast and Colon Cancer Cells

“…Current cancer treatments rely on radiation and chemotherapeutic agents that work by killing rapidly dividing cells in the body. The main drawback of conventional chemotherapy is the adverse effects on the body as it cannot deliver selective action specifically to the cancer cells, thus damaging the surrounding normal healthy cells or rapidly dividing healthy cells such as the cells of gastrointestinal tract, bone marrow, hair follicles, causing issues like cardiac, hepatic, pulmonary, renal and gastrointestinal toxicities [ 4 , 5 , 6 ]. Drug delivery systems offer numerous advantages over tradition chemotherapy such as targeted delivery at disease site, sustained release leading to prolonged bioavailability, lower dosage requirement and improved drug solubility among others [ 7 , 8 , 9 , 10 , 11 , 12 ].…”

Breast cancer: A comparative review for breast cancer detection using machine learning techniques

“…Furthermore, the timing of reproductive experiences could also be the cause. 6 A woman who has her first menstrual period at a younger age (before 12), or experiences menopause later in life (after age 55), and have never became mother in her lifetime are higher risked group. The abovementioned multifaceted elements collectively contribute to an individual's susceptibility to breast cancer.…”

“…In recent years, ML has been increasingly utilized in healthcare to forecast various diseases, as it is a modeling approach that reflects the method of extracting information from data and uncovering hidden associations. Several studies 6,7 made breast cancer predictions based on screening mammography stereotypes or patient biopsy data, while others solely used demographic risk variables 8,9 . The five classifiers that are the primary focus of this article is logistic regression, support vector machine (SVM), Decision tree (C4.5), K ‐Nearest neighbors ( K ‐NN Network), and random forest (RF), each widely acknowledged as being among the most effective and well‐known of the best 10 methods for data mining.…”