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1.
Cell Transplant ; 31: 9636897221086969, 2022.
Article in English | MEDLINE | ID: mdl-35435039

ABSTRACT

Mucositis is nearly inevitable following high-dose chemotherapy. Several pro-inflammatory cytokines play a role in pathogenesis of mucositis. Curcumin inhibits inflammatory cytokines through inhibition of nuclear factor kappa-ß. We studied the effects of curcumin on the acute toxicities and inflammatory cytokines following melphalan (200 mg/m2) for autologous hematopoietic stem cell transplantation (HSCT) for myeloma. The control group (first 10 enrolled patients who received standard supportive care) was compared with curcumin group (next 30 patients who received chewable curcumin lozenges, 4 g twice daily from 2 days before melphalan till day +28 along with standard supportive care). The toxicities were recorded as per World Health Organization (WHO) criteria and CTCAE v3.0 as applicable. Cytokine profiling was done in both groups at similar time points. In the curcumin group, there was significant decrease in grade 3/4 vomiting (3% vs 40%, P = 0.01) and total parenteral nutrition use (47% vs 90%, P = 0.026). Grade 3/4 mucositis (43% vs 60%) and diarrhea (33% vs 70%) were also less, but not statistically significant. This coincided with 3.2-fold lower area under the concentration time curve (AUC) of IL-8 from day -3 to day 14 in curcumin group compared with control group (P = 0.039). We conclude that curcumin mitigates toxicities of high-dose melphalan, possibly through IL-8 modulation. Randomized studies are warranted to explore benefits of curcumin in HSCT.


Subject(s)
Curcumin , Hematopoietic Stem Cell Transplantation , Mucositis , Curcumin/pharmacology , Curcumin/therapeutic use , Humans , Interleukin-8 , Melphalan/adverse effects , Mucositis/chemically induced , Mucositis/drug therapy , Transplantation Conditioning/adverse effects , Transplantation, Autologous
2.
Cancer Med ; 10(24): 8777-8788, 2021 12.
Article in English | MEDLINE | ID: mdl-34786866

ABSTRACT

BACKGROUND: There is paucity of data regarding clinical characteristics, laboratory parameters and outcomes of coronavirus disease (COVID-19) in cancer versus non-cancer patients, particularly from India. MATERIALS AND METHODS: This was an observational, single-centre, retrospective analysis of patients with laboratory-confirmed COVID-19 hospitalised in our institution between 22 May 2020 and 1 December 2020. We compared baseline clinical characteristics, laboratory parameters and outcomes of COVID-19 (overall mortality, time to discharge) between cancer and non-cancer patients. RESULTS: A total of 200 COVID-19 infection episodes were analysed of which 109 (54.5%) were patients with cancer and 91 (45.5%) were patients without cancer. The median age was 43 (interquartile range [IQR]:32-57), 51 (IQR: 33-62) and 38 (IQR: 31.5-49.3) years; of whole cohort, cancer and non-cancer patients, respectively. Comparison of outcomes showed that oxygen requirement (31.2% [95% CI: 22.6-40.7] vs. 17.6% [95% CI: 10.4-26.9]; p = 0.03), median time to discharge (11 days [IQR: 6.75-16] vs. 6 days [IQR: 3-9.75]; p < 0.001) and mortality (10.0% [95% CI: 5.2-17.3] vs. 1.1% [95% CI: 0.03-5.9]; p = 0.017) were significantly higher in patients with cancer. In univariable analysis, factors associated with higher mortality in the whole cohort included diagnosis of cancer (10.1% vs. 1.1%; p = 0.027; odds ratio [OR]: 7.04), age ≥60 (17.4% vs. 2.6%; p = 0.001; OR: 7.38), oxygen requirement (22% vs. 0.6%; p < 0.001; OR: 29.01), chest infiltrates (19.2% vs. 1.4%; p < 0.001; OR: 22.65), baseline absolute lymphocyte count <1 × 109 /L (10.8% vs. 1.9%; p = 0.023; OR:5.1), C-reactive protein >1 mg% (12.8% vs. 0%; p = 0.027; OR: 24.69), serum procalcitonin >0.05 ng/ml (22.65% vs. 0%; p = 0.004; OR: 4.49) and interleukin-6 >6 pg/ml (10.8% vs. 1.3%; p = 0.036; OR: 3.08). In multivariable logistic regression, factors significantly associated with mortality were oxygen requirement (p = 0.005; OR: 13.11) and high baseline procalcitonin level (p = 0.014; OR: 37.6). CONCLUSION: Cancer patients with COVID-19 have higher mortality and require longer hospital stay. High procalcitonin levels and oxygen requirement during admission are other factors that affect outcomes adversely.


Subject(s)
COVID-19/epidemiology , Neoplasms/complications , Adult , COVID-19/mortality , Female , Hospitalization , Humans , India/epidemiology , Male , Middle Aged , Neoplasms/virology , Retrospective Studies , Risk Factors , Tertiary Care Centers
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