Latent Transition Analysis of the Symptom Experience of Cancer Patients Undergoing Chemotherapy

Symptom Patterning Across the Cancer Care Trajectory for Patients Receiving Chemoradiation for Head and Neck Cancer: A Retrospective Longitudinal Study Using Latent Transition Analysis

BACKGROUND

Patients with head and neck cancer (HNC) experience a multitude of symptoms because of the tumor and its treatment.

OBJECTIVE

To identify the symptom patterns present in cancer treatment and survivorship periods for patients with HNC using latent class analysis.

METHODS

A retrospective longitudinal chart review was conducted to examine symptoms reported by patients who received concurrent chemoradiation for HNC in a regional Northeastern United States cancer institute. Latent class analysis was performed to identify the latent classes present across multiple timepoints during treatment and survivorship for the most commonly reported symptoms.

RESULTS

In 275 patients with HNC, the latent transition analysis revealed 3 latent classes for both treatment and survivorship periods: (1) mild, (2) moderate, and (3) severe symptoms. Patients were more likely to report a greater number of symptoms in a more severe latent class. During treatment, moderate and severe classes had representation of all most common symptoms: pain, mucositis, taste alterations, xerostomia, dysphagia, and fatigue. Different symptom patterns emerged for survivorship, with prominence of taste alterations and xerostomia across all classes, and all symptoms present in the severe class. The probability of symptom expression varied more in the survivorship period compared with the treatment period.

CONCLUSIONS

Patients reported numerous symptoms during active treatment persisting into survivorship. Patients tended to transition to more severe symptomatology as treatment progressed and to more moderate symptomatology as survivorship evolved.

IMPLICATIONS FOR PRACTICE

Examining the trend of persistent moderate symptomatology into survivorship is useful to optimize symptom management.

Changes in maternal psychological symptom profiles from 2 to 6 months postpartum: an application of latent transition analysis

To identify subgroups of postpartum women with different psychological symptom profiles at 2 and 6 months postpartum and to examine how they transition between symptom profiles over time using latent transition analysis (LTA). We used secondary data from the Family Life Project (N = 1,117) and performed LTA based on observed variables (depression, anxiety, somatization, and hostility). We examined transition probabilities and changes in latent status prevalence from 2 to 6 months postpartum. Considering the known influences of social determinants of health on psychological symptoms, bivariate analyses were conducted to describe the characteristics of different transition patterns. A 3-class model with better fit indices, entropy, and interpretability was selected. Based on symptom severity, the identified profiles were Profile 1: Low, Profile 2: Moderate, and Profile 3: High. From 2 to 6 months postpartum, the prevalence of low symptom profile decreased (82 to 78.2%) while the prevalence increased for moderate (15.8 to 17.5%) and high symptom profiles (2.2 to 4.4%). For all profiles, it was most likely for postpartum women to stay in the same profile from 2 to 6 months (low to low, moderate to moderate, and high to high). Those in persistent or worsening transition patterns were significantly younger or had less social support or education. Postpartum women in moderate or high symptom profiles at 2 months were most likely to stay in the same profile at 6 months postpartum, indicating persistent symptom burden. Clinicians should consider providing early, targeted support to prevent persistent symptom burden.

Transitions in Social Networks From Young-Old to Old-Old Stage of Life Using Latent Transition Analysis

Introduction: This study aimed to identify the different types of social networks among young-old adults, and to examine the transitions in social networks as they become old-old adults. Methods: This is a secondary data analysis using the longitudinal data (N = 1092) from the National Social Life, Health, and Aging Project. Latent class analysis was conducted to identify optimal number of classes and latent transition analysis was conducted to examine the transition probabilities. Results: Young-old adults in Class 1: family-oriented, social (close, external) transitioned into Class 2: family-oriented, non-social over time. In contrast, young-old adults in Class 2: family-oriented, non-social and Class 3: less family-oriented, social (close) were less likely to transition to another class. Conclusion: Older adults engaged in less social activities over time. Older adults should be encouraged to continue their social engagement with close social network of friends and relatives, and to maintain their relationship with family members.

Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysis

Older adults are classified into three homogeneous groups: young-old (age 65-74), old-old (age 75-84), and oldest-old (age 85 and over). Mental health symptoms are likely to change over time, especially when older adults transition from one age group to another. Yet, little is known on changes in mental health symptoms as they transition to another age group, and if these changes differ by sex. This is a secondary data analysis using the longitudinal data from the National Social Life, Health, and Aging Project. A total of 1183 young-old adults at wave 1 was included. Mental health symptoms were depression, anxiety, loneliness, perceived stress, and happiness. Multiple-group latent transition analysis was conducted to model the transition probabilities of latent classes and to compare these differences between sex. Descriptive and inferential statistics were conducted to obtain demographic characteristics and to test for differences. Three latent classes were identified based on severity: class 1-mild, class 2-moderate, and class 3-severe. Regardless of sex, young-old adults remained in the same class from waves 1 to 2. However, they moved to a less severe group when transitioning into the old-old from waves 2 to 3. Statistically significant differences were found in their demographic characteristics among the latent classes. Older adults, when transitioning from young-old to old-old, are likely to transition to latent classes with less severe mental health symptoms in both sex. Clinicians need to provide a comprehensive assessment to all older adults, regardless of the severity of their mental health symptoms, to promote well-being.

Moving beyond Table 1: A critical review of the literature addressing social determinants of health in chronic condition symptom cluster research

Variability in the symptom experience in patients diagnosed with chronic conditions may be related to social determinants of health (SDoH). The purpose of this critical review was to (1) summarize the existing literature on SDoH and symptom clusters (i.e., multiple, co-occurring symptoms) in patients diagnosed with common chronic conditions, (2) evaluate current variables and measures used to represent SDoH, (3) identify gaps in the evidence base, and (4) provide recommendations for the incorporation of SDoH into future symptom cluster research. We identified 118 articles including information on SDoH in chronic condition symptom cluster research. Articles primarily focused on cancer populations. Few articles had the explicit purpose of investigating relationships between SDoH and symptom clusters, and the inclusion of SDoH was often limited to variables used to describe samples. Future studies should be designed to "move beyond Table 1" in their utilization of SDoH as variables and examine relationships between SDoH and symptom clusters. Attention should be paid to the appropriateness of measures being used to collect information on SDoH, and analysis methods that estimate causal connections between variables should be considered. Research regarding the relationship of SDoH with symptom clusters in patients with chronic conditions has the potential to reveal mechanisms of symptom disparities and guide changes to alleviate these disparities.

Symptom Classes in Decompensated Liver Disease

BACKGROUND & AIMS

Patients with decompensated liver disease have been categorized by disease severity. This analysis sought to classify patients with end-stage liver disease based on symptoms rather than disease state and to identify distinct severity classes of physical and psychological symptoms.

METHODS

Patients with a model for end-stage liver disease-sodium score of 15 or higher were recruited from liver clinics in 2 health care organizations. They completed the Condensed Memorial Symptom Assessment Scale, Revised Ways of Coping Checklist, Patient Health Questionnaire, Life Orientation Test-Revised, and the Short-Form Health Survey. Cross-sectional data were analyzed using latent class mixture modeling.

RESULTS

The sample (N = 191; age, 56.6 ± 11.1 y; 33.5% ETOH; 28.3% nonalcoholic fatty liver disease; 13.1% autoimmune/primary biliary cholangitis/primary sclerosing cholangitis) was predominantly male (64.2%), Child-Turcotte-Pugh class C (49.5%), with an average model for end-stage liver disease-sodium score of 18.7 ± 4.9. Three distinct classes of symptoms were identified, as follows: mild (26.7%), moderate (41.4%), or severe (31.9%) symptoms. Symptom classes were independent of disease severity and demographic characteristics, except age. All Condensed Memorial Symptom Assessment Scale symptoms and Patient Health Questionnaire scores were significantly different across the 3 classes (P < .05). The symptom classes also differed significantly in physical and mental quality of life, optimism, and avoidance coping behaviors (all P < .001).

CONCLUSIONS

Patient-reported symptom severity occurred independent of disease severity, contrary to common assumptions. Focusing on the moderate and severe symptom classes as well as patient history of end-stage liver disease complications may enhance providers' ability to improve symptom management for this population.

Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis

Objectives

To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time.

Methods

Patients who were scheduled to receive chemotherapy completed the Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module with a total of 19 symptom items. Data were collected at three time points: two weeks before chemotherapy (T1), after chemotherapy cycle 1 (T2), and after chemotherapy cycle 3 or above (T3). The latent profile analysis and latent transition analysis were used to identify underlying subgroups and describe changes in subgroup membership over time.

Results

From the total sample (N = 195), 160 patients completed the symptom assessment at T1, T2, and T3. Two distinct latent symptom profiles of patients could be identified at T1, T2, and T3, which were classified as "Mild" and "Moderate-Severe" profiles. From T1 to T2 and T3, members in the Mild profile were more likely to move to the Moderate-Severe profile. Chemotherapy protocols, prior surgery treatment, and level of education can predict the transitions.

Conclusion

Results provide a better understanding of the patient's different symptom experiences and characteristics. These could help clinicians to anticipate symptom patterns and develop interventions in lung cancer patients who were scheduled to receive chemotherapy for the first time.

Symptom response analysis of a randomized controlled trial of reflexology for symptom management among women with advanced breast cancer

PURPOSE

To examine symptom responses resulting from a home-based reflexology intervention delivered by a friend/family caregivers to women with advanced breast cancer undergoing chemotherapy, targeted, and/or hormonal therapy.

METHODS

Patient-caregiver dyads (N = 256) were randomized to 4 weekly reflexology sessions or attention control. Caregivers in the intervention group were trained by a reflexology practitioner in a 30-min protocol. During the 4 weeks, both groups completed telephone symptom assessments using the M. D. Anderson Symptom Inventory. Those who completed at least one weekly call were included in this secondary analysis (N = 209). Each symptom was categorized as mild, moderate, or severe using established interference-based cut-points. Symptom response meant an improvement by at least one category or remaining mild. Symptom responses were treated as multiple events within patients and analyzed using generalized estimating equations technique.

RESULTS

Reflexology was more successful than attention control in producing responses for pain (OR = 1.84, 95% CI (1.05, 3.23), p = 0.03), with no significant differences for other symptoms. In the reflexology group, greater probability of response across all symptoms was associated with lower number of comorbid condition and lower depressive symptomatology at baseline. Compared to odds of responses on pain (chosen as a referent symptom), greater odds of symptom response were found for disturbed sleep and difficulty remembering with older aged participants.

CONCLUSIONS

Home-based caregiver-delivered reflexology was helpful in decreasing patient-reported pain. Age, comorbid conditions, and depression are potentially important tailoring factors for future research and can be used to identify patients who may benefit from reflexology.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01582971.