Fatigue and the wear-off effect in adult patients with common variable immunodeficiency

Inborn Errors of Immunity

Inborn errors of immunity occur in 1 in 1000 to 1 in 5000 individuals and are characterized by immune deficiency and immune dysregulation. The primary care provider (PCP) should be familiar with key features of these diagnoses including recurrent and/or severe infections, hyperinflammation, malignancy, and autoimmunity and have a low threshold to refer for evaluation. The PCP can begin a laboratory evaluation before referral by sending a complete blood count (CBC) with differential, antibody levels, vaccine titers, and possibly other tests. Management approaches vary from antibiotic prophylaxis to hematopoietic stem cell transplantation depending on the specific diagnosis.

Inborn Errors of Immunity

Inborn errors of immunity occur in 1 in 1000 to 1 in 5000 individuals and are characterized by immune deficiency and immune dysregulation. The primary care provider (PCP) should be familiar with key features of these diagnoses including recurrent and/or severe infections, hyperinflammation, malignancy, and autoimmunity and have a low threshold to refer for evaluation. The PCP can begin a laboratory evaluation before referral by sending a complete blood count (CBC) with differential, antibody levels, vaccine titers, and possibly other tests. Management approaches vary from antibiotic prophylaxis to hematopoietic stem cell transplantation depending on the specific diagnosis.

Hypogammaglobulinemia: A contributing factor to multiple sclerosis fatigue?

OBJECTIVE

Fatigue is one of the most disabling and difficult to treat symptoms of autoimmune diseases and frequently presents in people with multiple sclerosis (PwMS). Hypogammaglobulinemia for immunoglobulin G (IgG) affects approximately 8-25% of PwMS. We performed a retrospective analysis to investigate the association of MS-fatigue and IgG hypogammaglobulinemia.

METHODS

PwMS, treated at Eginition University Hospital Athens or at the University Hospital Bern, were included (n = 134 patients (Bern n = 99; Athens n = 35)). Mann Whitney U-test (MWT), ANOVA test, Chi² test and multivariable linear regression models were run.

RESULTS

97/134 (72.4%) PwMS reported fatigue. In the multivariable linear regression analysis, IgG serum concentration (-1.6, 95%CI -2.7 - -0.5, p = 0.006), daytime sleepiness (0.8, 95%CI 0.2-1.4, p = 0.009), and a depressive mood (1.1, 95%CI 0.8-1.4, p < 0.001) were significantly associated with fatigue. The impact of IgG serum concentration (-2.9 95%CI -4.7 - -1.1, p = 0.002) remained significant also in the subcohort of PwMS without depressive symptoms or daytime sleepiness.

CONCLUSIONS

We found an association between IgG hypogammaglobulinemia and fatigue in PwMS (Level of Evidence IV), which might be translated to other autoimmune diseases. It bears a potential therapeutic consequence considering IgG supplementation strategies, if our finding can be validated prospectively.

Prevalence and Impact of Fatigue in Children with Primary Immunodeficiency Disorders: a Quantitative Single-Center Study

Although fatigue is a common symptom in adult patients with primary immunodeficiencies (PID), data in pediatric patients are limited. The goal of this study is to estimate the prevalence and impact of fatigue in children with PID as reported by patients, parents, and health-care providers. A retrospective single-center observational study was performed. Prevalence of fatigue was measured by reviewing medical charts of 54 children in our department who are on immunoglobulin replacement therapy. Both prevalence and impact were also measured by the PedsQL-Multidimensional Fatigue Scale (MFS) in 27 patients and 32 of their parents. This is an age-appropriate questionnaire for self-report of fatigue symptoms in patients aged 5–18 years and for parent proxy reports for patients aged 2–18 years. General, cognitive, and sleep-rest fatigue was measured, and a total fatigue score was calculated. Means, standard deviation and Z scores were calculated using age-specific reference values. Intraclass correlation coefficients (ICC) were calculated for comparison of scores provided by parents vs children’s self-reported scores. Both chart review data and PedsQL-MFS showed fatigue rates of 65%. Pediatric PID patients of all ages had significantly lower scores on all subscales and total score of the PedsQL-MFS compared to healthy children, indicating greater perceived symptoms of fatigue. General fatigue was the most affected subscale in PID patients, suggesting that fatigue in these patients is mainly physical. Seventy-four percent of PID patients had a Z score lower than − 1 on the general fatigue subscale indicating severe fatigue. Child-parent concordance varied between 0.24 and 0.93. Our results show the feasibility of the PedsQL-MFS survey to evaluate the prevalence and severity of fatigue in children with PID and underscore the importance of this issue in our patient care.

Persons Living With Primary Immunodeficiency Act as Citizen Scientists and Launch Prospective Cohort Body Temperature Study

Background

Although fever is considered a sign of infection, many individuals with primary immunodeficiency (PI) anecdotally report a lower-than-normal average body temperature on online forums sponsored by the Immune Deficiency Foundation (IDF). There is limited knowledge about the average body temperature and fever response in PI.

Objective

This study aims to compare median body temperatures between adults with and without PI diagnoses living in the same household and to engage individuals living with PI throughout the research process.

Methods

Patients with PI designed and launched a prospective cohort comparison study as citizen scientists. A multidisciplinary team designed and implemented a patient-informed study with continuous patient-driven input. Median body temperatures were compared between the 2 cohorts using the Mann-Whitney test with Bonferroni correction. The IDF conducted a post-study patient experience survey.

Results

Data from 254 households were analyzed (254/350, 72.6% participation rate). The PI population was predominantly female (218/254, 85.8%), White (248/254, 97.6%), and with a median age of 49 years. The non-PI population was largely male (170/254, 66.9%), White (236/254, 92.9%), and with a median age of 53 years. Common variable immunodeficiency was the most common PI diagnosis (190/254, 74.8%). Of the 254 individuals with PI, 123 (48.4%) reported a lower-than-normal nonsick body temperature, whereas 108 (42.5%) reported a normal (between 97°F and 99°F) nonsick body temperature. Among individuals with PI, when infected, 67.7% (172/254) reported the absence of fever, whereas 19.7% (50/254) reported a normal fever response. The recorded median body temperature was minimally but statistically significantly higher for patients with PI in the morning. Although 22.4% (57/254) of patients with PI self-reported illness, a fever of 100.4°F or higher was uncommon; 77.2% (196/254) had a normal temperature (between 97°F and 99°F), and 16.2% (41/254) had a lower-than-normal temperature (between 95.0°F and 96.9°F) when sick. For these sick patients with PI, the median body temperature was minimally but statistically significantly higher for patients in the morning and early evening. Overall, 90.9% (231/254) of participants would be very likely to participate in future IDF studies, although 94.1% (239/254) participants had never taken part in previous studies.

Conclusions

To our knowledge, this is the first study to evaluate average body temperature in individuals with PI. Although there were small statistically significant differences in body temperatures between PI and non-PI subjects, the clinical significance is unclear and should be interpreted with caution, given the methodological issues associated with our small convenience sample and study design. As PIs are heterogeneous, more research is needed about how the fever response differs among diverse PIs compared with healthy controls. This study highlights that individuals with PI are knowledgeable about their health and can offer unique insights and direction to researchers and clinicians.

PROMIS-29 survey confirms major impact of fatigue on health-related quality of life in common variable immunodeficiency

Health-related quality of life (HRQOL) is an emerging topic of interest in patients with immunodeficiency. Information about HRQOL in common variable immunodeficiency (CVID) is limited. The primary objective was to compare primary immunodeficiency disease (PIDD) patients with and without common variable immunodeficiency (CVID) on HRQOL domains using Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey data from the United States Immunodeficiency Network (USIDNET) registry. The primary endpoint variables were scores on 7 HRQOL domains. The USIDNET registry was used to select patients with baseline PROMIS-29 data collected between 2015 and 2018. Descriptive statistics, Fisher's exact test, and Student's two-sample t test were used to compare patients with CVID versus patients with non-CVID on demographic and clinical characteristics. The single-sample t test was used to compare sample means to the normed population mean of 50. A general linear model approach to multiple regression with backward selection was used to remove factors that did not contribute significant information to the multivariable models, while controlling for multiple testing. Potential explanatory variables included group (CVID/non-CVID), sex, age, and BMI. Among 184 PIDD patients, 146 (79%) were diagnosed with CVID. Patients had a mean (SD) age of 53 (13.8), were predominantly female (83%), and were Caucasian (98%). PROMIS-29 results revealed a significant effect of group (CVID/non-CVID) on the anxiety, fatigue, and social participation domains, with fatigue being the most statistically significant. Fatigue, anxiety, and social participation may be key factors influencing HRQOL among patients with CVID. Future prospective longitudinal studies using PROMIS-29 will be needed to confirm these findings and to determine the mechanisms through which these factors develop in CVID, and how they can be improved.

Health status and infections in patients with symptomatic primary and secondary immunoglobulin G (IgG) deficiencies receiving intravenous IgG replacement

Background

The effects of intravenous immunoglobulin G replacement on perceived health and infection susceptibility of patients suffering from immunoglobulin G (IgG) deficiencies should be evaluated in a prospective analysis.

Methods

Patients with symptomatic primary or secondary IgG deficiencies were interviewed prior to the first IgG infusion (t₀) and over the course of their treatment (t₁ - t₆). The respondents rated their current health using a 100 point scale (EQ-5D-5L), ranging from 0 (‘worst imaginable health’) to 100 (‘best imaginable health’). The patients also provided information on the frequency of infections and of infections requiring antibiotics in the past 8 weeks. A healthy control group (CG) without oncologic diseases answered the questions once.

Results

One hundred six patients with a median age of 65 years (21–85 years) were investigated. The median serum IgG concentration changed from 500 mg/dl (t₀) to 772 mg/dl (t₆). The mean number of infections and of infections requiring antibiotics decreased during IgG replacement significantly. Current health according to EQ-5D-5L improved from 57 (t₀) to 68 (t₆), compared to 73 in the CG.

Conclusion

During the course of IgG replacement patients reported fewer and less severe infections. Their health assessment improved but still was inferior to the healthy CG.

Health-Related Quality of Life in Common Variable Immunodeficiency Italian Patients Switched to Remote Assistance During the COVID-19 Pandemic

BACKGROUND

A rapidly expanding pandemic of the new coronavirus has become the focus of global scientific attention. Data are lacking on the impact of the pandemic caused by the severe acute respiratory syndrome coronavirus 2 on health-related quality of life among patients affected by primary antibody deficiencies (PADs).

OBJECTIVE

To identify factors impacting the health-related-quality of life (HRQOL) among Italian patients affected by PADs switched to remote assistance at the time of the coronavirus disease 2019 pandemic.

METHODS

The quality of life was surveyed in 158 patients with PADs by the Common Variable Immune Deficiency Quality of Life questionnaire, a disease-specific tool, and by the 12-item General Health Questionnaire, a generic tool to assess the risk of anxiety/depression. Since the beginning of the coronavirus disease 2019 epidemic, we shifted all patients with PADs to home therapy, and activated remote visits. Questionnaires were sent by email 4 weeks later. Common Variable Immune Deficiency Quality of Life questionnaire and 12-item General Health Questionnaire data scores were compared with the same set of data from a survey done in 2017.

RESULTS

Of 210 patients, 158 (75%) agreed to participate. The quality of life was worse in the group of patients who were at risk of anxiety/depression at the study time. HRQOL was similar in patients forced to shift from hospital-based to home-based immunoglobulin treatment and in patients who continued their usual home-based replacement. The risk of anxiety/depression is associated with pandemia caused by the severe acute respiratory syndrome coronavirus 2 and with patients' fragility, and not with related clinical conditions associated with common variable immune deficiencies. Anxiety about running out of medications is a major new issue.

CONCLUSIONS

The coronavirus disease 2019 epidemic impacted HRQOL and the risk of anxiety/depression of patients with PADs. The remote assistance program was a useful possibility to limit personal contacts without influencing the HRQOL.

Fatigue, Sleep, and Autoimmune and Related Disorders

Profound and debilitating fatigue is the most common complaint reported among individuals with autoimmune disease, such as systemic lupus erythematosus, multiple sclerosis, type 1 diabetes, celiac disease, chronic fatigue syndrome, and rheumatoid arthritis. Fatigue is multi-faceted and broadly defined, which makes understanding the cause of its manifestations especially difficult in conditions with diverse pathology including autoimmune diseases. In general, fatigue is defined by debilitating periods of exhaustion that interfere with normal activities. The severity and duration of fatigue episodes vary, but fatigue can cause difficulty for even simple tasks like climbing stairs or crossing the room. The exact mechanisms of fatigue are not well-understood, perhaps due to its broad definition. Nevertheless, physiological processes known to play a role in fatigue include oxygen/nutrient supply, metabolism, mood, motivation, and sleepiness-all which are affected by inflammation. Additionally, an important contributing element to fatigue is the central nervous system-a region impacted either directly or indirectly in numerous autoimmune and related disorders. This review describes how inflammation and the central nervous system contribute to fatigue and suggests potential mechanisms involved in fatigue that are likely exhibited in autoimmune and related diseases.

30-Year Review of Pediatric- and Adult-Onset CVID: Clinical Correlates and Prognostic Indicators

PURPOSE

To evaluate mortality risk factors in pediatric-onset common variable immunodeficiency disorders (CVID), we evaluated the largest single-institution cohort of pediatric-onset CVID patients. Previous publications on CVID have provided valuable descriptive data, but lack risk stratification to guide physicians in management of these patients.

METHODS

Retrospective chart review of 198 subjects with CVID at a single institution, of whom 91 had disease onset at a pediatric age. Clinical and laboratory data were collected at diagnosis and in follow-up. Odds ratios and Fisher tests were utilized to examine trends. This study was approved by an institutional review board.

RESULTS

Clinical features and laboratory results for subjects diagnosed with CVID at a pediatric age are similar to those who had adult-onset CVID. However, majority of the deceased subjects (13/18) were at a pediatric age at CVID symptom onset. These subjects had a lower age at mortality, multiple comorbidities, and often depression. The most common cause of death was infection. Lung disease (OR 5, p < 0.05) and infection with severe/opportunistic organisms (OR 9, p < 0.05) are directly related to increased mortality. Delay in diagnosis of CVID is also correlated with mortality. Intermediary markers correlating with mortality include anemia, GERD, and depression.

CONCLUSIONS

There are many similarities between patients with pediatric- and adult-onset CVID; however, the mortality of pediatric CVID in our cohort is striking. This is the first study to identify specific factors correlated with mortality in pediatric-onset CVID to guide pediatricians and subspecialists in managing these immunodeficient patients.

How to Identify Common Variable Immunodeficiency Patients Earlier: General Practice Patterns

PURPOSE

Diagnostic delay is a major problem concerning common variable immunodeficiency (CVID). We aimed to determine the pattern of general practitioner (GP) consultations in individuals diagnosed with CVID within 3 years before the diagnosis and whether the risk of diagnosis was associated with the frequency of consultations or character of examinations.

METHODS

We conducted a nested case-control study, identifying 132 adult CVID patients and 5940 age- and gender-matched controls from national registers during 1997-2013. We used conditional logistic regression to calculate the odds ratios (OR) and 95% confidence intervals (95%CI).

RESULTS

The median number of consultations among individuals with CVID was more than twice that of the controls in all 3 years (3rd, 10; 2nd, 11.5; and 1st, 15.4 vs. 4). We found a statistically significant association between the number of consultations and the risk of a subsequent CVID diagnosis, independent of age and gender, but strongest in the individuals < 40 years. In the 3rd year before diagnosis, having 9-15 consultations compared with 1-4 was associated with an OR (95%CI) of 5.0 (2.3-10.9), 2.4 (1.1-5.4), and 1.3 (0.3-5.3) for those aged 18-40, 41-60, and > 60, respectively. Several examinations (i.e., blood tests for inflammation/infection and pulmonary function test) were associated with increased odds of a subsequent CVID diagnosis.

CONCLUSION

The risk of a CVID diagnosis was highly related to both the number of consultations and the character of examinations performed by the GP. CVID should be a differential diagnosis among patients with multiple consultations, especially in patients < 40 years old.

Perceived health of patients with common variable immunodeficiency - a cluster analysis

Common variable immunodeficiency (CVID) is a complex disease with various influences on perceived health, which correlate with different outcomes, including new morbidity and mortality. Our hypothesis was that CVID patients fall into distinct clusters of perceived health which can inform care. Ward hierarchical cluster analysis and K-means cluster analysis were performed on data of 209 CVID patients to identify subgroups regarding their self-reported physical and mental health status, assessed by the physical (PCS) and mental component scores (MCS) of the Short Form-12 (SF-12). Four clusters of CVID-patients were identified. Cluster 1 was the largest cluster, characterized by a relatively high physical and mental health status (44·0%). In contrast, cluster 2 (21·1%) included patients with low physical and mental health status. Clusters 3 and 4 were mixed groups with high mental and low physical health (15·8%) and vice versa (19·1%). Significant differences between the clusters were found for patient-reported outcomes such as work ability and health literacy, but not for CVID-associated complications such as enteropathy, interstitial lung disease, granulomatosis, lymphadenopathy and autoimmune cytopenia or laboratory parameters such as immunoglobulin levels or B cell-based classification. The results suggest different subgroups of CVID patients with contrasting individual needs which, surprisingly, did not differ in clinical or laboratory characteristics. The main finding of this study is that patients with CVID fall into four distinct clusters according to perceived health, which are largely independent of CVID complications.