Analysis of Longitudinal Patterns and Predictors of Medicine Use in Residential Aged Care Using Group-Based Trajectory Modeling: The "MEDTRAC-Cardiovascular" Longitudinal Cohort Study.

AIM: Cardiovascular diseases are the leading cause of death globally. Ensuring ongoing use of medicines-medication persistence-is crucial, yet no prior studies have examined this in residential aged care facilities (RACFs). We aimed to identify long-term trajectories of persistence with cardiovascular medicines and determine predictors of persistence trajectories. METHOD: A longitudinal cohort study of 2837 newly admitted permanent residents from 30 RACFs in New South Wales, Australia. We monitored weekly exposure to six cardiovascular medicine classes-lipid modifiers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARBs), beta-blockers, diuretics, calcium channel blockers (CCB), and cardiac therapy-over 3 years. Group-based trajectory modeling was employed to determine persistence trajectories for each class. RESULTS: At baseline, 76.6% (n = 2172) received at least one cardiovascular medicine with 41.2% receiving lipid modifiers, 31.4% ACEI/ARBs, 30.2% beta-blockers, 24.4% diuretics, 18.7% CCBs, and 14.8% cardiac therapy. The model identified two persistence trajectories for CCBs and three trajectories for all other classes. Sustained high persistence rates ranged from 68.4% (ACEI/ARBs) to 79.8% (beta-blockers) while early decline in persistence and subsequent discontinuation rates ranged from 7.6% (cardiac therapy) to 25.3% (CCBs). Logistic regressions identified 11 predictors of a declining persistence across the six medicine classes. CONCLUSION: Our study revealed varied patterns of cardiovascular medicine use in RACFs, with 2-3 distinctive medicine use trajectories across different classes, each exhibiting a unique clinical profile, and up to a quarter of residents discontinuing a medicine class. Future studies should explore the underlying reasons and appropriateness of nonpersistence to aid in identifying areas for improvement.

Associations between serum albumin level trajectories and clinical outcomes in sepsis patients in ICU: insights from longitudinal group trajectory modeling.

Background: Sepsis triggers a strong inflammatory response, often leading to organ failure and high mortality. The role of serum albumin levels in sepsis is critical but not fully understood, particularly regarding the significance of albumin level changes over time. This study utilized Group-based Trajectory Modeling (GBTM) to investigate the patterns of serum albumin changes and their impact on sepsis outcomes. Methods: We conducted a retrospective analysis on ICU patients from West China Hospital (2015-2022), employing GBTM to study serum albumin fluctuations within the first week of ICU admission. The study factored in demographics, clinical parameters, and comorbidities, handling missing data through multiple imputation. Outcomes assessed included 28-day mortality, overall hospital mortality, and secondary complications such as AKI and the need for mechanical ventilation. Results: Data from 1,950 patients revealed four serum albumin trajectories, showing distinct patterns of consistently low, increasing, moderate, and consistently high levels. These groups differed significantly in mortality, with the consistently low level group experiencing the highest mortality. No significant difference in 28-day mortality was observed among the other groups. Subgroup analysis did not alter these findings. Conclusion: The study identified four albumin trajectory groups in sepsis patients, highlighting that those with persistently low levels had the worst outcomes, while those with increasing levels had the best. Stable high levels above 30 g/L did not change outcomes significantly. These findings can inform clinical decisions, helping to identify high-risk patients early and tailor treatment approaches.

Association between blood pressure multi-trajectory and cardiovascular disease among a Chinese elderly medical examination population.

Objective: This study aimed to characterize multivariate trajectories of blood pressure [systolic blood pressure (SBP) and diastolic blood pressure (DBP)] jointly and examine their impact on incident cardiovascular disease (CVD) among a Chinese elderly medical examination population. Methods: A total of 13,504 individuals without CVD during 2018-2020 were included from the Chinese geriatric physical examination cohort study. The group-based trajectory model was used to construct multi-trajectories of systolic blood pressure and diastolic blood pressure. The primary outcome was the incidence of the first CVD events, consisting of stroke and coronary heart diseases, in 2021. The Cox proportional hazards model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between BP multi-trajectories and incident CVD events. Results: We identified four blood pressure (BP) subclasses, summarized by their SBP and DBP levels from low to high as class 1 (7.16%), class 2 (55.17%), class 3 (32.26%), and class 4 (5.41%). In 2021, we documented 890 incident CVD events. Compared with participants in class 1, adjusted HRs were 1.56 (95% CI: 1.12-2.19) for class 2, 1.75 (95% CI: 1.24-2.47) for class 3, and 1.88 (95% CI: 1.24-2.85) for class 4 after adjustment for demographics, health behaviors, and metabolic index. Individuals aged 65 years and above with higher levels of BP trajectories had higher risks of CVD events in China. Conclusions: Individuals with higher levels of both SBP and DBP trajectories over time were associated with an increased risk of incident CVD in the Chinese elderly population.

Trajectories of Sacubitril/Valsartan Adherence Among Medicare Beneficiaries With Heart Failure.

Background: Sacubitril/valsartan, an angiotensin receptor/neprilysin inhibitor (ARNi), improves heart failure (HF) outcomes, yet real-world adherence patterns are not well understood. Objectives: The purpose of this study was to analyze longitudinal patterns of adherence to ARNis in patients with HF and to identify factors associated with adherence patterns. Methods: Using Medicare beneficiaries from 2015 to 2018, we included patients diagnosed with HF who initiated an ARNi. A group-based trajectory model was constructed to identify adherence patterns during follow-up. We used multivariable logistic regression to investigate factors associated with membership in each adherence trajectory group. Results: Among 9,475 eligible beneficiaries (age 77 ± 7 years, 34% female), we identified 5 distinct ARNi adherence trajectories, characterized as: immediate discontinuers, who discontinued treatment within the first 3 months (12%); early discontinuers, who discontinued treatment in months 4 to 7 (10%); late discontinuers, who discontinued treatment in months 7 to 10 (12%); intermittently adherent patients (12%); and consistently adherent patients (54%). The first 4 groups were collectively categorized as nonconsistent adherents. Living in a socioeconomically disadvantaged area, ie, a county with the top 20% of Area Deprivation Index (adjusted OR [aOR]: 1.12 [95% CI: 1.00-1.24]) and Black race (aOR: 1.36, [95% CI: 1.18-1.56]) were associated with a higher likelihood of being nonconsistently adherent. Receiving prescriptions from a cardiologist (aOR: 0.64 [95% CI: 0.57-0.73]) was associated with a lower likelihood of suboptimal ARNi adherence. Conclusions: Half of ARNi users were not consistently adherent to the drug in the first year after treatment initiation. There exist significant racial and socioeconomic inequities in longitudinal adherence to ARNi.

Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort study.

BACKGROUND: Insulin resistance is linked to an increased risk of frailty, yet the comprehensive relationship between the triglyceride glucose-body mass index (TyG-BMI), which reflects weight, and frailty, remains unclear. This relationship is investigated in this study. METHODS: Data from 9135 participants in the China Health and Retirement Longitudinal Study (2011-2020) were analysed. Baseline TyG-BMI, changes in the TyG-BMI and cumulative TyG-BMI between baseline and 2015, along with the frailty index (FI) over nine years, were calculated. Participants were grouped into different categories based on TyG-BMI changes using K-means clustering. FI trajectories were assessed using a group-based trajectory model. Logistic and Cox regression models were used to analyse the associations between the TyG-BMI and FI trajectory and frail incidence. Nonlinear relationships were explored using restricted cubic splines, and a linear mixed-effects model was used to evaluate FI development speed. Weighted quantile regression was used to identify the primary contributing factors. RESULTS: Four classes of changes in the TyG-BMI and two FI trajectories were identified. Individuals in the third (OR = 1.25, 95% CI: 1.10-1.42) and fourth (OR = 1.83, 95% CI: 1.61-2.09) quartiles of baseline TyG-BMI, those with consistently second to highest (OR = 1.49, 95% CI: 1.32-1.70) and the highest (OR = 2.17, 95% CI: 1.84-2.56) TyG-BMI changes, and those in the third (OR = 1.20, 95% CI: 1.05-1.36) and fourth (OR = 1.94, 95% CI: 1.70-2.22) quartiles of the cumulative TyG-BMI had greater odds of experiencing a rapid FI trajectory. Higher frail risk was noted in those in the fourth quartile of baseline TyG-BMI (HR = 1.42, 95% CI: 1.28-1.58), with consistently second to highest (HR = 1.23, 95% CI: 1.12-1.34) and the highest TyG-BMI changes (HR = 1.58, 95% CI: 1.42-1.77), and those in the third (HR = 1.10, 95% CI: 1.00-1.21) and fourth quartile of cumulative TyG-BMI (HR = 1.46, 95% CI: 1.33-1.60). Participants with persistently second-lowest to the highest TyG-BMI changes (ß = 0.15, 0.38 and 0.76 respectively) and those experiencing the third to fourth cumulative TyG-BMI (ß = 0.25 and 0.56, respectively) demonstrated accelerated FI progression. A U-shaped association was observed between TyG-BMI levels and both rapid FI trajectory and higher frail risk, with BMI being the primary factor. CONCLUSION: A higher TyG-BMI is associated with the rapid development of FI trajectory and a greater frail risk. However, excessively low TyG-BMI levels also appear to contribute to frail development. Maintaining a healthy TyG-BMI, especially a healthy BMI, may help prevent or delay the frail onset.

Characteristics of US Medicare Beneficiaries with Chronic Cough vs. Non-Chronic Cough: 2011-2018.

Background: Chronic cough (CC), characterized as a cough lasting >8 weeks, is a common multi-factorial syndrome in the community, especially in older adults. Methods: Using a pre-existing algorithm to identify patients with CC within the 2011-2018 Medicare beneficiaries, we examined trends in gabapentinoid use through repeated cross-sectional analyses and identified distinct utilization trajectories using group-based trajectory modeling (GBTM) in a retrospective cohort study. Individuals without CC but with any respiratory conditions related to cough served as a comparator group. Results: Among patients with CC, gabapentinoid use increased from 18.6% in 2011 to 24.1% in 2018 (p = 0.002), with a similar upward trend observed in the non-CC cohort but with overall lower usage (14.7% to 18.4%; p < 0.001). Patients with CC had significantly higher burdens of respiratory and non-respiratory comorbidities, as well as greater healthcare service and medication use compared to the non-CC cohort. The GBTM analyses identified three distinct gabapentinoid utilization trajectories for CC and non-CC patients: no use (77.3% vs. 84.5%), low use (13.9% vs. 10.3%), and high use (8.8% vs. 5.2%). Conclusions: Future studies are needed to evaluate the safety and effectiveness of gabapentinoid use in patients with refractory or unexplained CC in real-world settings.

Associations between Longitudinal Maternal and Cord Blood Vitamin D Status and Child Growth Trajectories Up to 4 Years of Age.

The current study aimed to explore the combined and individual effects of vitamin D (VitD) status in three trimesters during pregnancy and cord blood (CB) on child growth trajectories from birth to 4 years of age. Pregnant women (n = 1100) were recruited between 2013 and 2016 in the Shanghai Birth Cohort (SBC) Study. A total of 959 mother-child dyads were included. VitD status was measured by LC-MS/MS at three trimesters (T1, T2, T3) and CB. Children's weight, length/height, and head circumference were assessed at birth, 42 days, 6, 12, 24 months, and 4 years of age, and standardized into z-scores [weight-for-age z-score (WAZ), length-for-age z-score (LAZ), head circumference-for-age z-score (HCZ) and weight-for-length z-score (WLZ)]. Using the group-based trajectory model (GBTM), the trajectories of the four growth parameters were categorized into discrete groups. The generalized estimating equation (GEE) was employed to analyze the mixed effect of 25(OH)D throughout pregnancy on growth trajectories. The association between 25(OH)D status and each growth trajectory group was examined by multivariable logistic regression. Each 10 ng/mL increase in 25(OH) throughout three trimesters was not associated with four anthropometric parameters. Each 10 ng/mL increase in VitD in T3 was associated with a lower risk in the WAZ high-increasing trajectory (aOR: 0.75; 95% CI: 0.62, 0.91; p < 0.01). Each 10 ng/mL increase in VitD in CB was associated with a lower risk in the WAZ high-increasing trajectory (aOR: 0.57; 95% CI: 0.43, 0.76; p < 0.01). No significant association was found between maternal or CB VitD and LAZ or HCZ. Three trimesters' VitD throughout pregnancy had no persistent effect on the offspring's growth trajectory. However, higher VitD status in the third trimester and CB related to a lower risk of high-increasing WAZ from birth to 4 years of age. Elevated VitD levels in late pregnancy and cord blood may protect against continuous early-life weight growth at high levels.

Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-age women: Results from group-based trajectory modeling.

BACKGROUND: Women with gynecologic disorders requiring a hysterectomy often have co-existing psychiatric diagnoses. A change in the dispensing pattern of antidepressant (AD) and antianxiety (AA) medications around the time of hysterectomy may be due to improvement in gynecologic symptoms, such as pelvic pain and abnormal bleeding, or the emotional impact of the hysterectomy. Unfortunately, these dispensing patterns before and after hysterectomy are currently undescribed. OBJECTIVES: To model the dispensing patterns of AD and AA medications over time among women with psychiatric disorders before and after benign hysterectomy for endometriosis and uterine fibroids; and to characterize clusters of patients with various dispensing behaviors based on these patterns. DESIGN: Retrospective cohort study. METHODS: This is a study of women who underwent a benign hysterectomy using data from the Merative MarkertScan® Research Databases (Ann Arbor, MI, USA). Inclusion criteria were reproductive-aged women (18-50 years), diagnosis of at least one mood or anxiety disorder, and at least one dispensing of AD or AA medications. We measured monthly adherence and persistence of AD/AA medication use over 12 months after hysterectomy. Group-based-trajectory modeling (GBTM) was used to identify trajectory groups of monthly AD/AA medication dispensing over the study period. Multinomial logistic regression was used to identify factors independently associated with individual dispensing trajectory patterns. RESULTS: For a total of 11,607 patients, 6 dispensing trajectory groups were identified during the study period: continuously high (27.0%), continuously moderate (21.9%), continuously low (17.9%), low-to-high (10.0%), moderate-to-low (9.8%), and low-to-moderate (13.4%). Compared with the continuously high group, younger age, no history of a mood disorder, and uterine fibroids were clinical predictors of low dispensing. The discontinuation rate at 3 months after hysterectomy was higher at 88.6% in the continuously low group and at 66.5% in the continuously low-to-moderate group. CONCLUSIONS: This study demonstrates that GBTM identified six distinct trajectories of AD/AA medication dispensing in the perioperative period. Trajectory models could be used to identify specific dispensing patterns for targeting interventions.

Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-aged women: Results from the group-based trajectory modelingWomen with gynecologic disorders often have coexisting psychiatric diagnoses. A change in the dispensing pattern of antidepressant and antianxiety medications may be due to improvement in gynecologic symptoms or the emotional impact of the hysterectomy. However, static measures, such as the proportion of days covered or medication possession ratio, may not adequately predict meaningful dispensing patterns. Using the group-based trajectory modeling, 6 distinct patterns of medication dispensing over the perioperative periods of women with benign hysterectomy are identified and therefore used to assess how certain clinical characteristics influence these dispensing patterns. This study concludes that trajectory modeling may be a more appropriate approach to investigating dispensing patterns among women with preexisting psychiatric conditions.

Trajectories of polysubstance use: Are past-year internalizing and externalizing problems associated with trajectories of polysubstance use over time?

OBJECTIVE: Polysubstance use among adults has been a public health concern in the U.S. and is associated with adverse consequences. This study aimed to identify the longitudinal trajectory of polysubstance use and test whether internalizing and externalizing problems predict it. METHODS: Data of adults aged 18 and older (N = 15076) were extracted from the Waves 1-5 Population Assessment of Tobacco and Health Study (2013-2019). Group-Based Trajectory Modeling was performed to identify the trajectory of polysubstance use. Examined substances included use of cigarettes, e-cigarettes, excessive alcohol, cannabis, painkillers, and cocaine in past 30 days from all waves. Weighted multinomial logistic regressions were conducted to investigate the associations between internalizing and externalizing problems and the trajectory of polysubstance use, controlling for demographic variables. RESULTS: Five trajectory groups were identified: (1) No to minimal polysubstance use risk (45.6 %); (2) Polysubstance use-low risk (10.7 %); (3) Cigarette-leading polysubstance use-high risk (23.5 %); (4) Cigarette-cannabis co-leading polysubstance use-high risk (12.3 %); and (5) Cannabis-leading polysubstance use-high risk (7.8 %). Compared with Group 1, higher internalizing problems predicted the membership of Group 3 [Relative risk ratio (RRR) range: 1.07-1.17] and Group 4 (RRR range: 1.04-1.21). Compared with Group 1, higher externalizing problems predicted the membership of Group 5 (RRR range: 1.01-1.10). CONCLUSIONS: Prevention efforts should consider internalizing problems and associated trajectories of high-risk polysubstance use (e.g., cigarette-leading and cigarette-cannabis co-leading) as well as externalizing problems and associated trajectories of high-risk polysubstance use (e.g., cannabis-leading), when designing interventions to prevent polysubstance use.

Group-based trajectory modeling to identify adherence patterns for direct oral anticoagulants in Medicare beneficiaries with atrial fibrillation: a real-world study on medication adherence.

BACKGROUND: Suboptimal adherence to direct oral anticoagulants (DOACs) among atrial fibrillation (AF) patients remains currently a major concern due to the increased risk of cardiac and thromboembolic events. AIM: To identify longitudinal distinct trajectories of DOAC adherence and sociodemographic and clinical factors associated with each trajectory. METHOD: Patients with AF who were prescribed with DOAC from July 2016-December 2017 were identified among patients enrolled in the Medicare Advantage Plan. Patients were followed up for a year after the index date to calculate the monthly proportion of days covered (PDC). The monthly PDC was incorporated into the logistic group-based trajectory model to evaluate distinct patterns of adherence. A multinomial regression model was carried out to assess various predictors associated with each trajectory. Sub-group analysis was conducted among incident DOAC users. RESULTS: Total of 1969 patients with AF, four distinct trajectories of adherence were selected: adherent 36.8%, gaps in adherence 9.3%, gradual decline in adherence 29.7%, and rapid decline in adherence 24.2%. Significant predictors associated with suboptimal adherence trajectories were age (75 years or older), gender (male vs female), low-income subsidy health plan, prevalent users, and presence of comorbidities. Among 933 incident users, three adherence trajectories were identified: adherent trajectory (31.8%), rapid decline in adherence (32.5%), and gradual decline in adherence (35.6%). The significant predictors among incident users were gender (male vs female), low-income subsidy health plan, HAS-BLED score ≥ 2, and presence of coronary artery disease. CONCLUSION: Adherence to DOACs was suboptimal among the total population and incident users.

Associations between body weight trajectories and neurodevelopment outcomes at 24 months corrected age in very-low-birth-weight preterm infants: a group-based trajectory modelling study.

Introduction: This study aimed to explore the relationship between the trajectories of body weight (BW) z-scores at birth, discharge, and 6 months corrected age (CA) and neurodevelopmental outcomes at 24 months CA. Methods: Conducted as a population-based retrospective cohort study across 21 hospitals in Taiwan, we recruited 3,334 very-low-birth-weight (VLBW) infants born between 2012 and 2017 at 23-32 weeks of gestation. Neurodevelopmental outcomes were assessed at 24 months CA. Instances of neurodevelopmental impairment (NDI) were defined by the presence of at least one of the following criteria: cerebral palsy, severe hearing loss, profound vision impairment, or cognitive impairment. Group-based trajectory modeling was employed to identify distinct BW z-score trajectory groups. Multivariable logistic regression was used to assess the associations between these trajectories, postnatal comorbidity, and neurodevelopmental impairments. Results: The analysis identified three distinct trajectory groups: high-climbing, mid-declining, and low-declining. Significant associations were found between neurodevelopmental impairments and both cystic periventricular leukomalacia (cPVL) [with an adjusted odds ratio (aOR) of 3.59; p < 0.001] and belonging to the low-declining group (aOR: 2.59; p < 0.001). Discussion: The study demonstrated that a low-declining pattern in body weight trajectory from birth to 6 months CA, along with cPVL, was associated with neurodevelopmental impairments at 24 months CA. These findings highlight the importance of early weight trajectory and specific health conditions in predicting later neurodevelopmental outcomes in VLBW infants.

Association of bioimpedance analysis parameters trajectories with clinical outcomes in neurocritical patients.

Background and objective: Neurocritical patients often experience uncontrolled high catabolic metabolism state during the acuta phase of the disease. The complex interactions of neuroendocrine, inflammation, and immune system lead to massive protein breakdown and changes in body composition. Bioelectrical impedance analysis (BIA) evaluates the content and proportions of body components based on the principles of bioelectricity. Its parameters reflect the overall health status of the body and the integrity of cellular structure and function, playing an important role in assessing the disease status and predicting prognosis of such patients. This study explored the association of BIA parameters trajectories with clinical outcomes in neurocritical patients. Methods: This study prospectively collected BIA parameters of 127 neurocritical patients in the Department of Neurology admitted to the NICU for the first 1-7 days. All these patients were adults (≥18 years old) experiencing their first onset of illness and were in the acute phase of the disease. The group-based trajectory modeling (GBTM), which aims to identify individuals following similar developmental trajectories, was used to identify potential subgroups of individuals based on BIA parameters. The short-term prognosis of patients in each trajectory group with variations in phase angle (PA) and extracellular water/total body water (ECW/TBW) over time was differentially analyzed, and the logistic regression model was used to analyze the relationship between potential trajectory groups of PA and ECW/TBW and the short-term prognosis of neurocritical patients. The outcome was Glasgow Outcome Scale (GOS) score at discharge. Results: Four PA trajectories and four ECW/TBW trajectories were detected respectively in neurocritical patients. Among them, compared with the other latent subgroups, the "Low PA rapidly decreasing subgroup" and the "High ECW/TBW slowly rising subgroup" had higher incidences of adverse outcomes at discharge (GOS:1-3), in-hospital mortality, and length of neurology intensive care unit stay (all P < 0.05). After correcting for potential confounders, compared with the "Low PA rapidly decreasing subgroup", the risk of adverse outcome (GOS:1-3) was lower in the other three PA trajectories, with OR values of 0.0003, 0.0004, and 0.003 respectively (all P < 0.05). Compared with the "High ECW/TBW slowly rising subgroup", the risk of adverse outcome (GOS:1-3) was lower in the other three ECW/TBW trajectories, with OR values of 0.013, 0.035 and 0.038 respectively (all P < 0.05). Conclusion: Latent PA trajectories and latent ECW/TBW trajectories during 1-7 days after admission were associated with the clinical outcomes of neurocritical patients. The risk of adverse outcomes was highest in the "Low PA rapidly decreasing subgroup" and the "High ECW/TBW slowly rising subgroup". These results reflected the overall health status and nutritional condition of neurocritical patients at the onset of the disease, and demonstrated the dynamic change process in body composition caused by the inflammatory response during the acute phase of the disease. This provided a reference basis for the observation and prognostic evaluation of such patients.

Associations of physical activity and weight gain during pregnancy with pregnancy-related pelvic girdle pain intensity - A retrospective cohort study.

OBJECTIVE: The aims of this study were first, to explore pain trajectories of pelvic girdle pain, and second, to explore if weight gain during pregnancy and/or physical activity before and during pregnancy were associated with the severity of pelvic girdle pain. METHODS: The study included data from a retrospective cohort study in 2009, with data collection performed via questionnaires. Group-based trajectory modelling was performed on the reported intensity of pelvic girdle pain in each pregnancy month, and associations between the latent classes and physical activity and/or weight gain were assessed. RESULTS: A total of 569 women were included in the analyses. Five distinct trajectory classes for the course of pelvic girdle pain were identified. A higher body mass index (BMI) increase during pregnancy was negatively associated with the probability of being pain free, with -3.2 percentage points per unit increase in BMI (95 % CI -5.3 to -1.1; p = 0.003), and positively associated with the probability of experiencing early onset moderate to severe pain, +1.1 percentage points per unit increase in BMI (95 % CI 0.2 to 2.1; p = 0.022). Weight gain below recommendations was negatively associated with early onset moderate to severe pain; -10.6 percentage points per unit increase in BMI (95 % CI -18.8to-2.4;p = 0.011). Physical activity in pregnancy was not significantly associated with pain trajectory classes when adjusting for pre-pregnancy variables. CONCLUSIONS: Our findings suggest that pelvic girdle pain intensity during pregnancy can take multiple courses and is associated with weight gain during pregnancy.

Uses of antiseizure medication among pregnant women with epilepsy and risk of adverse obstetric outcomes: A group-based trajectory analysis.

OBJECTIVE: This study was undertaken to examine the association between different patterns of antiseizure medication (ASM) use during pregnancy and adverse obstetric outcomes (preterm birth, low birth weight [LBW], and small for gestational age [SGA]). METHODS: This retrospective cohort study used the Birth Certificate Application and National Health Insurance data in Taiwan (January 1, 2004 through December 31, 2018). We retrieved weekly ASM among pregnant women with epilepsy who were prepregnancy chronic users and used group-based trajectory modeling to identify distinct patterns of use. Logistic regressions were adopted to examine the association between patterns of ASM use and risk of preterm birth, LBW, and SGA. In addition, we revealed postnatal ASM utilization pattern among these prepregnancy chronic users as an exploratory study. RESULTS: Of 2175 pregnant women with epilepsy, we identified four patterns of ASM use during pregnancy: frequent and continuous (64.87%), frequent but discontinuous (7.08%), intermittent (19.72%), and intermittent and discontinuous users (8.32%). Compared to frequent and continuous users, the adjusted odds ratios for preterm birth in frequent but discontinuous, intermittent, and intermittent and discontinuous users were .83 (95% confidence interval [CI] = .47-1.48), .71 (95% CI = .47-1.05), and .88 (95% CI = .52-1.49), respectively. Similar results were observed for LBW and SGA. In the exploratory study, we found that most of our study subjects maintained the same patterns before and after delivery. SIGNIFICANCE: After considering duration and timing of exposure, our study did not find an association between four distinct patterns of ASM use and adverse obstetric outcomes among women with epilepsy. The findings suggested that optimal seizure control could be received for pregnant women with epilepsy after evaluating the risks and benefits.

Risk and protective factors for cognitive decline in Brazilian lower educated older adults: A 15-year follow-up study using group-based trajectory modelling.

BACKGROUND: Patterns of cognitive change and modifiable factors for cognitive decline versus stable cognitive trajectories have rarely been described in lower-educated older adults. OBJECTIVES: We aimed to identify long-term trajectories of cognitive functioning and possible factors associated with cognitive decline. DESIGN AND PARTICIPANTS: We used data from 1,042 adults aged ≥ 60 participating in the Health, Welfare and Aging Study (SABE), São Paulo, Brazil, without cognitive impairment at baseline. Data were collected across four waves (2000-2015). Group-based trajectory modelling was used to identify cognitive trajectories. Associations with socioeconomic variables, childhood background, lifestyle, and cardiovascular risk factors were explored using weighted multinomial logistic regressions. MEASUREMENTS: The abbreviated Mini-Mental State Examination was used to measure cognition. RESULTS: Three cognitive trajectories were identified: stable (n= 754, 68.6%), mild-decline (n= 183, 20.8%), and strong-decline (n= 105, 10.7%). At baseline, respondents in the strong-decline group were more likely to be older than those with stable and mild-decline trajectories. Furthermore, participants in both the mild and strong-decline groups were more likely to have no schooling, be divorced/separated, receive less than 4 monthly wages, and be underweight (BMI < 18.5) compared to the stable group. Finally, the mild-decline group was more likely to have lived in rural areas during childhood than participants located in a stable trajectory. CONCLUSIONS: Our findings suggest that interventions to reduce cognitive decline for low-educated older adults might include strategies addressing inequalities and improving modifiable risk factor burden.

Care-resistant Behavior Trajectories during Mouth Care among Nursing Home Residents with Dementia.

BACKGROUND AND OBJECTIVES: This study examined day-to-day variation in care-resistant behaviors (CRBs) exhibited by persons living with dementia during mouth health care and the potential influence of time-of-day on CRB trajectories. RESEARCH DESIGN AND METHODS: A secondary analysis was conducted on a sample of 75 nursing home-dwelling persons living with dementia who exhibited CRBs during mouth care activities. Over 21 days, CRBs were measured using the revised Resistiveness to Care Scale (RTC-r) during morning and afternoon mouth care sessions. Group-based Trajectory Modeling was used to identify trajectory patterns and assess differences between morning and afternoon CRB patterns. RESULTS: Three trajectory patterns were identified: morning CRB trajectory patterns showed 50.6% of persons living with dementia had consistently low RTC-r scores, 37.5% of persons living with dementia exhibited fluctuating, moderate RTC-r scores, and 11.9% exhibited RTC-r scores that started high and then decreased over time. Similarly, CRB trajectory patterns during afternoon mouth care showed a consistently low RTC-r score for 54.5% and a fluctuating moderate RTC-r score for 38.6% of persons living with dementia. However, the third CRB trajectory group followed a high-increasing trajectory, with RTC-r scores starting high and continuing to increase for 6.9% of persons living with dementia. DISCUSSION AND IMPLICATIONS: CRBs are dynamic and vary within days and over time; however, the time of the day is often not considered in interventions to manage CRBs. Thus, it is important to consider the timing of providing mouth care for persons living with dementia. Based on the characteristics of the trajectories, we suggest that morning mouth activities may be more efficient.

Protective Effect of Parental Monitoring on Early-to-Mid Adolescents Displaying High-Level and Increasing Aggressive Behavior.

Studies that distinguish parental monitoring (parent-driven behaviors) from parental knowledge often fail to find protective effects of monitoring on adolescent behavior problems. To answer whether parental monitoring is more strongly associated with adolescent behavior problems among adolescents who may need it most, this study applied group-based trajectory modeling to change in early- to mid-adolescent aggressive behavior problems and examined associations between parental monitoring with different subgroups. Three latent groups of adolescents were found: Low Aggression, Medium-Increasing Aggression, and High-Increasing Aggression. Results show that more maternal and paternal monitoring were associated with fewer adolescent aggressive behavior problems only for adolescents in the High-Increasing Group. This result suggests that parental monitoring is a protective factor against adolescent aggressive behavior problems for subgroups of adolescents who may need it most and less impactful for other adolescents.

Trajectories of acute gastrointestinal injury grade in critically Ill children.

OBJECTIVE: To investigate the characteristics of different Acute Gastrointestinal Injury (AGI) grading trajectories and examine their impact on prognosis in the Pediatric Intensive Care Unit (PICU). METHODS: This retrospective cohort study was conducted at a large children's hospital in China. The children admitted to the PICU were included. AGI grade was assessed every other day during the initial nine days following PICU admission. RESULTS: A total of 642 children were included, of which 364 children (56.7%) exhibited varying degrees of gastrointestinal dysfunction (AGI grade ≥ 2). Based on the patterns of AGI grading over time, six groups were identified: low-stable group, low-fluctuating group, medium-decreasing group, medium-increasing group, high-decreasing group, high-persistent group. The high-persistent group accounted for approximately 90% of all recorded deaths. Compared to low-stable group, both the medium-increasing and high-persistent groups exhibited positive correlations with length of stay in PICU (PICU LOS) and length of stay (LOS). Compared to low-stable group, the five groups exhibited a negative correlation with the percentage of energy received by enteral nutrition (EN), as well as the protein received by EN. CONCLUSION: This study identified six distinct trajectory groups of AGI grade in critically ill children. The pattern of AGI grade trajectories over time were associated with EN delivery proportions and clinical outcomes.

The Influence of Perinatal Psychological Changes on Infant Neurodevelopment in Shanghai, China: A Longitudinal Group-based Trajectory Analysis.

OBJECTIVE: This prospective cohort study, conducted at the Fenglin Community Health Service Center (FCHC) in Xuhui District, Shanghai, aimed to investigate the impact of maternal psychological status on offspring neurodevelopment. METHODS: A total of 430 mother-child pairs were included, with pregnant women enrolled between February 18, 2020, and April 19, 2021. Face-to-face interviews and electronic data collection on demographic characteristics, health conditions and medical history were employed at various stages of pregnancy and postpartum. Maternal depression and anxiety were assessed using the PHQ-9 and GAD-7 scales, while offspring neurodevelopment was measured at six months using the Ages and Stages Questionnaire 3rd Edition (ASQ-3). In statistical analyses, group-based trajectory modeling (GBTM) was employed to identify the latent groups for maternal psychological trajectories, including depression and anxiety, and logistic regression was used to explore associations between maternal psychological trajectories and offspring neurodevelopment, adjusting for potential confounders. RESULTS: Five latent trajectory groups were identified for both depression and anxiety, exhibiting distinct patterns over time. Results indicated that maternal psychological trajectories were associated with various domains of offspring neurodevelopment, including communication, problem-solving, personal-social, and gross motor skills. Specifically, mothers in trajectory groups characterized by the highest level of depression or anxiety showed increased odds of offspring neurodevelopmental delays compared to reference groups. CONCLUSION: Our findings underscore the importance of maternal mental health during the perinatal period and highlight the potential implications for offspring neurodevelopment. Further research is warranted to elucidate underlying mechanisms and inform targeted interventions to support maternal mental well-being and optimize offspring outcomes.

Aging trajectories of subscales in higher-level functional capacity among community-dwelling older Japanese adults: the Otassha study.

BACKGROUND: Maintaining higher-level functional capacity is important for independent living in older age. The aging trajectory of the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) has three patterns; however, the subscale patterns are unclear. AIMS: This study aimed to clarify the aging trajectory patterns of the TMIG-IC subscales among community-dwelling older Japanese. METHODS: Participants were 3,169 community-dwelling older Japanese who participated in the 2012-2022 mail survey of the Otassha study. The aging trajectory patterns of the TMIG-IC total and subscale scores for those aged 65-90 years were identified using group-based trajectory modeling. Further, the combination frequency of the subscale trajectory patterns was determined. RESULTS: Three patterns were identified: early-onset decreasing, late-onset decreasing, and high-stable. DISCUSSION: The instrumental activities of daily living (IADL) trajectory was maintained until approximately 80 years of age; however, chronic disease prevailed the most in the early-onset decreasing pattern. The early-onset decreasing pattern of intellectual activity (IA) was present in 25% of participants, showing impaired IA from 65 years of age. The late-onset decreasing pattern of social roles (SR) was present in 30% of participants, showing a sharp decline compared to other subscales. For many people, the patterns of decrease in SR and IA overlapped. CONCLUSIONS: To maintain higher-level functional capacity, interventions that include disease management and prevention of decline in IADL and increase the awareness of the social support provided throughout old age and interventions for people with an early decline in IA should be implemented.