Dexamethasone and Diphenhydramine Withdrawal and Quality of Life Assessment in Breast Cancer Patients Receiving Weekly Paclitaxel

Introduction

Taxanes are widely used for breast cancer treatment.1 2 Premedication omission in patients receiving weekly paclitaxel has been evaluated in several studies,3 and it is a safe strategy, with low rates of hypersensitivity reaction (HSR). A study with 449 patients4 assessed omitting premedication in those receiving weekly paclitaxel who had not experienced HSR after the first 2 infusions: 234 patients were able to stop premedication and only 2 patients needed rescue medication.

Premedication with dexamethasone and diphenhydramine may be associated with several adverse events, such as insomnia, weight gain, and acne, with potential impacts on QoL.5 Omission of premedication may reduce the risk of adverse events associated with them, which can improve QoL. On the other hand, chemotherapy itself is related to worse QoL in breast cancer patients as well, and some of the chemotherapy-induced symptomatic deterioration can be ameliorated by steroids and other drugs used as premedications.6 As such, the net effect of omitting premedication on QoL measures during chemotherapy is difficult to predict. Indeed, most studies that have evaluated premedication omission either did not focus on QoL measures as a primary endpoint or showed discordant results in terms of QoL evaluation. Most of these studies7 did not include a comparative group of patients that kept premedication. The lack of a comparative group in previous studies8 makes it difficult to truly assess if there is indeed a change in QoL when omitting premedication.

To address this knowledge gap, we conducted a prospective study with the primary endpoint of assessing patient-reported QoL in two comparative groups: one group that kept and another that omitted premedication according to the presence or absence of HSR. We hypothesized that premedication omission during weekly paclitaxel therapy would be related to fewer adverse events overall and higher QoL in breast cancer patients. We used the European Organization for Research and Treatment of Cancer's (EORTC) 30-item Core Quality of Life questionnaire (QLQ-C30) and 23-item Quality of Life Questionnaire–Breast Cancer Module (QLQ-BR23) at to perform these comparisons.

Materials and Methods Study Design and Eligibility Criteria

The current was a single-center, prospective, phase-2 study conducted at the Oncology Center at Hospital São Lucas, located in the city of Porto Alegre, Brazil. The eligibility criteria for enrollment were female breast cancer patients who would receive a standard weekly dose of paclitaxel (80mg/m2) as part of the neoadjuvant, adjuvant or palliative treatments, aged between 18 and 75 years, with performance status scores from 0 to 2, and ability to provide informed consent prior to enrollment. The exclusion criteria were chronic use of corticosteroids, prior use of taxane, combination of paclitaxel with another chemotherapy agent simultaneously, a taxane regimen other than on a weekly schedule, and other neoplasms. The combination of paclitaxel and trastuzumab was allowed.

The clinical trial was approved by the institutional Ethics Committee according to local regulation, and all patients provided written informed consent before enrollment. The trial was registered at the publicly-available Brazilian study registry Plataforma Brasil (under registration number 56605322.7.0000.5336).

Premedication Group Assignment

Patients were included in the study from April 2022 to April 2024. All patients received intravenous dexamethasone 10 mg and diphenhydramine 50 mg 30 minutes prior to paclitaxel infusion as prophylaxis to HSR in the first 3 of the 12 planned weeks of treatment. If no HSR occurred after the third week of paclitaxel, premedication was allowed to be discontinued for the remaining 9 weeks of treatment, as long as agreed upon by the attending physician. Therefore, the patients were divided split into two groups for subsequent comparisons using the per protocol principle: one group that discontinued premedication and one group that did not, regardless of the reason for premedication continuation.

Quality of Life Assessment

We interviewed patients on weeks 1, 2, 3, 4, 5, 9, and 12 of treatment in face-to-face appointments to assess QoL using self-reported descriptive and evaluative measurements. We used three different questionnaires at every time point, as described below.

We selected the validated Portuguese version of the QLQ-C30 to address health-related QoL in cancer patients in general. This questionnaire is composed of a global health/QoL (GH/QoL) scale, as well as functioning and symptoms scales. We used the combination of items 29 and 30 as the main QLQ-30 measurement of QoL, according to EORTC guidance. The higher the score, the higher the QoL.9

The validated Portuguese version of the QLQ-BR23 was selected to evaluate specific QoL factors in breast cancer patients. The multi-item scales are divided into 2 groups: functional (body image, sexual functioning, sexual enjoyment, and future perspective) and symptom-focused (systemic therapy side effects, breast symptoms, arm symptoms, and upset by hair loss). We used the combination of items 1, 2, 3, 4, 6, 7, and 8 (that is, the systemic therapy side effects [BRST] scale) as the main QLQ-BR23 measurement of QoL. Higher scores represent greater symptom burden.9 10

Items from the QLQ-C30 and QLQ-BR23 were scaled and scored according to the scoring manual methodology: patients provided their answers to both questionnaires on a 4-point scale (from 1 [“not at all”] to 4 [“very much”]), except for the GH/QoL, which is a 7-point scale (from 1 [“very poor”] to 7 [“excellent”]). Linear transformation was used to standardize the raw score, so that the overall scores ranged from 0 to 100.9 10

The 14-item modified Dexamethasone Symptom Questionnaire (DSQ) was developed by the University of Toronto to evaluate the frequency of adverse events related to the use of dexamethasone5 (Supplementary Material Figure S3). We evaluated the frequency of highest-grade adverse events between the 2 groups through the comparison of related symptoms reported as 3 (“moderately”) or 4 (“very much”).

The patients were physically evaluated and treated for HSRs by trained oncology fellows on call at the Oncology Center. The severity of the HSRs was graded according to the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE), version 5.0.

Study Objectives

The primary endpoint of the current study was the comparison of QoL between the group that kept and the group that omitted premedication using scores for the main QLQ-C30 and QLQ-BR23 measurements, as aforementioned. We analyzed questionnaires from interviews conducted in weeks 3, 4, 5, 9, and 12, when the patients had already been split into the 2 groups.

The study secondary endpoints were the evaluation of the frequency of severe HSRs according to the CTCAE in patients who withdrew premedication, the frequency of HSRs of any grade during the 12 weeks of treatment in both groups, and the frequency of highest-grade adverse events in both groups according to the DSQ.

We conducted an exploratory analysis comparing GH/QoL scores in weeks 1 and 12 in each patient to analyze if there was a detriment in QoL over time. We also analyzed weight gain during the 12 weeks of treatment.

Statistical Analysis

For the GH/QoL scale of the QLQ-C30 and the BRST of the QLQ-B23, the statistical analyses were based on a linear mixed effects model comparing the 2 groups of patients from weeks 3 to 12 of treatment. The models were developed with treatment, a time effect, and treatment-time interactions as fixed effects, as well as a patient-specific random effect. Parameter estimates were based on a restricted maximum likelihood method.

The Chi-squared test of independence was used to evaluate the association between the two groups and the incidence of subjects who had at least 1 toxicity score of “3” or “4” in the DSQ, indicating high toxicity. The analysis was conducted based on data collected from weeks 4 to 12 of treatment.

All statistical tests were performed on an exploratory basis, and all p-values lower than 0.05 were deemed statistically significant. No correction for multiplicity was made. Data analysis was performed using the R (R Foundation for Statistical Computing) software, version 4.3.3.

Results Patient Characteristics

We recruited 60 patients. Data were analyzed according to the per protocol principle: 32 patients were allocated to the group that omitted premedication after the first 3 weeks of treatment, and 28 patients were allocated to the group that kept premedication throughout the 12 weeks of treatment. The baseline characteristics of all patients (and according to group) are summarized in Table 1.

Baseline characteristics of the study sample

With premedication(N = 28)

Without premedication(N = 32)

Overall(N = 60)

Mean age (years)

51.3 (8.27)

54.4 (9.97)

53.0 (9.28)

Median age in years (minimum–maximum)

51.0 (31.0–69.0)

53.5 (34.0–73.0)

52.0 (31.0–73.0)

Age (years): n (%)

< 40

1 (3.6)

2 (6.3)

3 (5.0)

40–59

22 (78.6)

22 (68.8)

44 (73.3)

60–69

5 (17.9)

5 (15.6)

10 (16.7)

≥ 70

0 (0)

3 (9.4)

3 (5.0)

ECOG performance status: n (%)

 0

18 (64.3)

16 (50.0)

34 (56.7)

 1

10 (35.7)

15 (46.9)

25 (41.7)

 2

0 (0)

1 (3.1)

1 (1.7)

Stage at diagnosis: n (%)

 I

3 (10.7)

4 (12.5)

7 (11.7)

 II

16 (57.1)

15 (46.9)

31 (51.7)

 III

5 (17.9)

11 (34.4)

16 (26.7)

 IV

4 (14.3)

2 (6.3)

6 (10.0)

Chemotherapy protocol: n (%)

 Weekly paclitaxel

2 (7.1)

1 (3.1)

3 (5.0)

 AC-T dose dense

12 (42.9)

18 (56.3)

30 (50.0)

 AC-T

3 (10.7)

4 (12.5)

7 (11.7)

 Weekly paclitaxel + trastuzumab

4 (14.3)

5 (15.6)

9 (15.0)

 AC-TH

7 (25.0)

4 (12.5)

11 (18.3)

 Mean Body Mass Index (kg/m2)

29.1 (5.24)

28.0 (5.46)

28.5 (5.34)

 Median Body Mass Index in kg/m2 (minimum–maximum)

29.1 (20.2–40.3)

27.1 (17.9–45.1)

27.9 (17.9–45.1)

Abbreviations: AC-T; AC-TH; ECOG, Eastern Cooperative Oncology Group.

Treatment

All patients completed weeks 1 to 12 of paclitaxel, with a total of 418 infusions. One patient needed a paclitaxel dose reduction to 60 mg/m2 from weeks 9 to 12 due to grade-3 fatigue. All patients received dexamethasone and diphenhydramine as premedication in the first 3 weeks of treatment, and HSRs occurred in 10 of the 60 patients (16.7%) in this period, all grade 1. Therefore, premedication was kept in those patients. After the third week of paclitaxel, the remaining 50 patients met the criteria for premedication omission given the absence of HSR. However, premedication was kept in 18 of these patients (36%). The reason to keep premedication in patients who had not experienced HSRs were chemotherapy-related symptoms such as nausea (24%), rash (12%), and preference of the attending physician (20%). No additional episodes of HSRs occurred on weeks 3 to 12 of paclitaxel in either group.

QoL Assessment: Primary Endpoints

Compliance to the QoL assessment was high. Missing data from 2 patients at weeks 10 and 12 were excluded from the analysis.

We first assessed global health using the combined score from items 29 and 30 of the QLQ-C30 (first primary endpoint). The scores at weeks 3, 4, 5, 9, and 12 for each group are presented in Fig. 1. Despite a minor separation of the curves, there were no statistically significant differences in the QoL scores during treatment between the two groups using the linear mixed effects model (p = 0.542). The mean scores for each group at weeks 1, 2, 3, 4, 5, 9, and 12 are presented in Supplementary Material Table S1.

Fig. 1 Evolution of average quality of life (QoL) scores over time (from week 3). Note: “QoL” represents the combination of items 29 and 30 from the European Organization for Research and Treatment of Cancer's (EORTC) 30-item Core Quality of Life questionnaire (QLQ-C30). Higher scores represent higher levels of quality of life.

Next, we evaluated systemic symptoms using the BRST scores of the QLQ-BR23 (second primary endpoint). There were no statistically significant differences regarding the average QoL scores in the comparison of the 2 groups during weeks 3, 4, 5, 9, and 12 (p = 0.278; linear mixed effects model) (Fig. 2).

Fig. 2 Evolution of systemic therapy side effects (BRST) scores over time (from week 3). Note: “BRST” represents the combination of items 1, 2, 3, 4, 6, 7, and 8 from the EORTC's 23-item Quality of Life Questionnaire–Breast Cancer Module (QLQ-BR23). Higher scores represents greater symptom burden.

QoL Assessment: Exploratory Endpoints

As exploratory analyses, we evaluated global changes in QoL throughout the combined scores on items 29 and 30 of the QLQ-C30 at weeks 1 (baseline) and 12 (end of treatment) in the 2 groups (Table 2). Over time, we found a 1.3-point increase in the QoL score in the group without premedication, and a 3.1-point decrease in the score of the group with premedication. Neither of these exceed the 5-point change usually considered clinically meaningful.

Change in the average quality of life (QoL) score (from weeks 1 and 12)

With

premedication

Without

premedication

Week

Average

QoL

score

Change

from

week 1

Average

QoL

score

Change

from

week 1

1

76.5

76.3

12

73.4

-3.1

77.6

1.3

Note: “QoL” combines information from items 29 and 30 of the European Organization for Research and Treatment of Cancer's (EORTC) 30-item Core Quality of Life questionnaire (QLQ-C30).

We also analyzed, in an exploratory way, the different subdomains and symptoms from the QLQ-C30 and QLQ-BR23 (Supplementary Material Figures S2–S5). Some of the functioning and symptoms scales seemed to show clinically significant differences within each of the groups over time between weeks 3 and 12 of treatment. Specifically for the breast symptoms score (BRBS) of the QLQ-BR23, the change in average score in the group of subjects receiving premedication was of less than 0.001 (95%CI: -5.83–5.83; p = 1.000). Nevertheless, the group of subjects without premedication showed an average BRBS change of -8.33 (95%CI: -13.6–-3.05; p = 0.003), indicating that premedication omission resulted in clinically and statistically significant improvements in this QoL parameter over time.

Another difference was observed in the sexual enjoyment (BRSEF) score. For the group of patients receiving premedication, there was an 8.93-point decrease in the average score from weeks 3 to 12 (95%CI: -18.3–0.459; p 0.0614). On the other hand, the group of subjects not receiving premedication showed an increase in the BRSEF score of 5.21 points (95%CI: -2.34–12.8; p = 0.169), raising the hypothesis that premedication may contribute to worsening sexual health in breast cancer patients.

We also described QoL measures according to patient subgroups, which were devided according to age, clinical stage, and chemotherapy protocol received (Supplementary Material Figures S6–S8). As the sample size became too small in the subgroups, no statistical tests were performed.

Adverse Events: Secondary Endpoint

The incidence of high toxicity scores according to the DSQ (secondary endpoint) is presented in Table 3. Although there were no statistically significant differences between the two groups, some symptoms were numerically more common in the group with premedication compared to the one with premediction, such as heartburn (53.6% versus 37.5% respectively) and acne (21.4% versus 9.4% respectively). In contrast, the incidence of nausea (25.0% versus 17.9%) was numerically higher in the group without premedication. The average weight gain over time was similar between the two groups throughout the treatment period (Supplementary Material Figure S1).

Distribution of high-toxicity scores (of 3 and 4) from weeks 4 to 12

Weeks 4 to 12

with premedication

(N = 28): n (%)

Weeks 4 to 12

without premedication

(N = 32): n (%)

p-value

Heartburn

15 (53.6)

12 (37.5)

0.2119

Insomnia

15 (53.6)

16 (50.0)

0.7824

Nausea

5 (17.9)

8 (25.0)

0.5029

Vomiting

0 (0.0)

1 (3.1)

0.3455

Appetite decrease

9 (32.1)

5 (15.6)

0.1313

Appetite increase

10 (35.7)

17 (53.1)

0.1762

Hiccup

3 (10.7)

3 (9.4)

0.8630

Weight decrease

0 (0.0)

1 (3.1)

0.3455

Weight increase

3 (10.7)

5 (15.6)

0.5767

Agitated

15 (53.6)

15 (46.9)

0.6048

Acne

6 (21.4)

3 (9.4)

0.1921

Mucositis

4 (14.3)

5 (15.6)

0.8848

Drowsiness

10 (35.7)

12 (37.5)

0.8861

Dizziness

4 (14.3)

5 (15.6)

0.8848

Notes: The percentages are based on N; p-value based on the Chi-squared test of independence.

Discussion

The present was one of the first studies to address QoL as a primary endpoint using two comparative groups, one that kept premedication and another that omitted premedication, in breast cancer patients receiving weekly paclitaxel. We found that premedication omission did not lead to increased incidence of HSRs. However, contrary to our hypothesis, we were not able to demonstrate statistically significant differences in QoL scores between the two groups, as assessed using items 29 and 30 of the QLQ-C30 and the BRST score. On the other hand, the exploratory analyses suggested an impact of premedication on certain subdomains/symptoms (such as sexual enjoyment and breast symptoms), and this raised questions regarding the adequacy of the questionnaires to detect QoL differences in the context that they were used in the current study, as discussed below.

Premedication withdrawal in patients who did not present HSRs was a safe strategy in the present study, with no cases of HSR, nor need of rescue medications during the remaining weeks of treatment. This result is in accordance with those of previous trials. For example, a study4 with 449 patients evaluated 234 patients who were able to stop premedication, and only 2 patients needed rescue medication. Although it is a safe strategy, many oncologists choose to keep premedication after week 3, as was observed in the current study. Anticipating such behavior, even though our trial had two comparative groups of patients, we decided to design a study using a per-protocol analysis, not a randomization with intention-to-treat (ITT) analysis. In this context, the per-protocol analysis could better reflect the current day-to-day practice and truly ascertain the effects of premedication on QoL scores.

Few previous studies have evaluated QoL related to premedication in breast cancer patients receiving chemotherapy as a primary endpoint. A trial11 assessing dexamethasone withdrawal in 25 patients did not demonstrate significant changes in QLQ-C30 scores, which is in line with our results. Similar to other trials, the present study was limited by a small sample size, which could explain the inability to detect statistically significant differences in the parameters evaluated. On the other hand, our trial had the important advantage of evaluating two comparative groups. This is an important strength that can indicate that maybe there are indeed no differences in QoL scores related to premedication.

Another possible explanation for the lack of differences in QoL between the two groups of patients could be the fact that standard questionnaires to measure QoL may be too general and not accurate enough to detect changes in QoL specifically related to the use of premedication. This underscores the need to develop more sensitive and applicable questionnaires geared towards premedication-related aspects to be used in future randomized trials.

Even though the current study did not meet the prespecified primary endpoint, it enabled important insights related to the use of premedication in this setting. Because of the wealth of information collected throughout the study, we were able to perform exploratory analyses that, although not definitive, may assist in the decision-making process related to the use of premedication in the clinical practice and may inform the design of future studies focused on specific symptoms and/or subdomains of interest. For example, we did not find a deterioration in QoL over time during treatment (QLQ-C30 items 29/30 and BRST scores) in either of the two groups, but, contrasting with the opposite group, patients who did not receive premedication had a sharper decline in BRBS scores (that is, breast symptoms) and improvement in BRSEF scores (that is, sexual enjoyment). Such observations could be relevant with the aim of maintaining the QoL of patients during treatment.

The QoL in patients receiving chemotherapy commonly decreases during treatment, but the impact seems to be temporary, especially in early-stage disease, with improvement after cytotoxic treatment completion.12 13 An analysis from the Hormone Therapy With or Without Combination Chemotherapy in Treating Women Who Have Undergone Surgery for Node-Negative Breast Cancer (TAYLORx) trial12 showed that QoL initially decreased in patients who received chemotherapy and endocrine therapy compared with patients who only received endocrine therapy. At 12 months, the QoL score was comparable between the 2 groups.12 In the present study, we did not observe this decrease in QoL scores within the Brazilian public healthcare system, typically servicing patients with lower literacy rates and, possibly, suboptimal understanding of the questions and Likert scale answers.14 These characteristics may contribute to an inaccurate assessment of QoL using the QLQ-C30 and QLQ-BR23. An alternative in future studies would be the use of validated visual scales in QoL questionnaires to improve the comprehension of questions and symptoms, especially among illiterate patients. As an example, a study15 with 60 subjects evaluated the level of agreement between The Lung Cancer Symptom Scale, an originally visual analogue scale (VAS) to measure QoL, and a numerical rating scale (NRS) among patients with lung cancer; the analysis showed a good concordance and supported the reproducibility of VAS scores by NRS scores.

Conclusion

In summary, in the current study, premedication withdrawal in breast cancer patients treated with weekly paclitaxel was not related to statistically significant differences in global health status and breast cancer QoL scales when compared to patients that kept premedication. Nevertheless, certain domains, especially sexual functioning, seem to deteriorate in patients who received premedication. Future prospective and randomized trials exploring tailored questionnaires with specific domains and visual scales may be more accurate in detecting QoL differences related to premedication. The use of these improved tools may reduce the QoL-reporting disparities potentially observed in our study, which was conducted in a low-to-middle-income population.

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About the Journal

Journal: Brazilian Journal of Oncology

DOI: 10.1055/s-00059887

e-issn: 2526-8732

Publisher: Thieme Revinter Publicações Ltda.

Publisher address: Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

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