Clinical Implications.
Higher IgG trough in patients with primary antibody deficiency on IgG replacement therapy may reduce the need for hospitalization from coronavirus disease 2019. Monitoring lymphocyte counts in these patients may identify at-risk patients for hospitalization for coronavirus disease 2019.
High-dose IgG therapy has been used in coronavirus disease 2019 (COVID-19) to modulate inflammatory responses.1 However, studies on the effect of IgG replacement therapy (IgGRT) on COVID-19 with primary antibody deficiency (PAD) are limited. IgGRT has been shown to modulate T-cell immunity and diminish proinflammatory responses of monocytes in common variable immune deficiency (CVID).2 , 3 A case report on clinical outcomes of a CVID patient with COVID-19 postulated benefit of both high-dose intravenous immunoglobulin treatment and/or compliance with IgGRT in reducing the severity of COVID-19.4 A study on cellular and humoral immune responses of 2 patients with CVID on IgGRT who presented with mild to asymptomatic COVID-19 showed robust CD4+ T-cell responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but 1 of the patients failed to mount SARS-CoV-2–specific antibody response.5 Well-established risk factors for COVID-19, including age and comorbidities, could also influence the outcome of COVID-19 in these patients.6 However, the function of IgGRT on modulation of cellular immunity and inflammation suggests a possible role for IgGRT in the outcomes of COVID-19 for these patients with PAD.2 , 3 Here, we investigated the clinical and immunologic characteristics of patients with PAD on IgGRT, in relation to their clinical outcomes of COVID-19, assessed by the hospitalization.
We performed a retrospective chart review of patients with COVID-19 from March 2020 to August 2021 at the Yale-New Haven Health System, Yale-affiliated community practices, and University of Virginia (UVA) Allergy and Immunology clinics. We collected demographics, comorbidities, home medications including IgGRT, laboratory data, and clinical outcomes of COVID-19 including hospitalization and mortality. We identified a total of 23 patients with PAD on IgGRT with SARS-CoV-2 infection based on positive nucleic-acid assay result (Yale-New Haven Health System [n = 10], Yale-affiliated community practices [n = 4], and UVA [n = 9]). Two of these patients were planned for, but not yet initiated on, IgGRT. This study was reviewed and approved by the institutional review boards of Yale University and UVA.
Of the total 23 PAD patients with COVID-19 identified in this cohort, 26% (n = 6) of patients were hospitalized whereas 74% (n = 17) were treated as outpatients (Table I ). None required intensive care unit management, and all patients survived. From this cohort, 56% (n = 13) of patients met the criteria for CVID and 43% (n = 10) of patients met the criteria for other PADs (Table I).7 Protective titer pneumococcal polysaccharide vaccine was defined as titer greater than or equal to 1.3 μg/mL in this study (see Table E1 in this article’s Online Repository at www.jaci-inpractice.org).7 However, given the lack of consensus on defining protective antibody response, we also included a lower threshold considered protective against invasive pneumococcal disease defined as titer greater than or equal to 0.35 μg/mL (Table E1).8 Criteria for diagnoses of CVID and other PADs are described in this article’s Online Repository’s Methods section at www.jaci-inpractice.org.7
Table I.
Clinical characteristics, outcome, and treatments of PAD patients with COVID-19
| Patient | Age (y) | Sex | Ethnicity | Diagnosis | Hospitalized | CHF | Autoimmune disorder | Lung disease | Last CT chest (no. of years ago) | Malignancy history | Is therapy as outpatient? | COVID treatment |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 21 | M | White | CVID | No | No | No | No | 5 | No | No | Casirivimab |
| 2 | 25 | F | White | CVID | No | No | No | No | 6 | No | No | No |
| 3 | 35 | F | White | CVID | No | No | No | Asthma | NA | No | No | No |
| 4 | 64 | F | White | CVID | No | No | Immune thrombocytopenic purpura | Bronchiectasis | 6 | Breast cancer | No | No |
| 5 | 65 | F | White | CVID | No | No | No | No | NA | No | No | No |
| 6 | 65 | F | White | CVID | No | No | No | No | 5 | No | No | No |
| 7 | 69 | F | White | CVID | No | No | No | Bronchiectasis | 2 | No | No | Bamlanivimab |
| 8 | 71 | M | White | CVID | No | No | No | No | 7 | No | No | No |
| 9 | 32 | F | White | CVID due to NFKB2 mutation | No | No | Alopecia areata | No | 1 | No | No | Bamlanivimab |
| 10 | 39 | M | White | Bruton’s agammaglobulinemia | No | No | No | No | 4 | No | No | Casirivimab/ imdevimab, prednisone |
| 11 | 42 | F | White | IgG deficiency | No | No | Hashimoto’s thyroiditis | No | 1 | No | No | No |
| 12 | 65 | F | White | IgG deficiency | No | No | No | Asthma | <1 | Cervical cancer | No | No |
| 13 | 69 | M | White | IgG deficiency | No | No | No | Asthma | NA | No | No | No |
| 14 | 71 | M | White | IgG deficiency | No | No | No | COPD | 1 | Prostate cancer | No | Bamlanivimab |
| 15 | 57 | F | Hispanic | sAbD, IgG2 deficiency | No | No | No | Asthma, COPD, bronchiectasis | <1 | No | No | No |
| 16 | 42 | F | White | sAbD | No | No | No | No | NA | No | No | Bamlanivimab |
| 17 | 72 | M | White | sAbD | No | No | No | COPD | 1 | No | No | No |
| 18 | 58 | F | White | CVID | Yes | No | No | Asthma | <1 | No | No | Dexamethasone, remdesivir, convalescent plasma |
| 19 | 68 | M | White | CVID | Yes | No | Hashimoto’s thyroiditis | COPD, bronchiectasis | 1 | No | No | Dexamethasone, remdesivir |
| 20 | 70 | M | White | CVID | Yes | Yes | Sarcoidosis | Pulmonary sarcoidosis | 2 | No | Methotrexate | Dexamethasone, remdesivir |
| 21 | 77 | F | White | CVID | Yes | Yes | No | Asthma | 3 | No | No | Dexamethasone, remdesivir |
| 22 | 18 | F | White | Agammaglobulinemia due to TCF3 mutation | Yes | No | No | No | 1 | No | No | No |
| 23 | 74 | F | White | IgG deficiency | Yes | Yes | SLE, connective tissue overlap syndrome | Asthma | 1 | No | Leuflonimide, prednisone | Dexamethasone, remdesivir |
COPD, Chronic obstructive pulmonary disorder; F, female; M, male; NA, information not applicable or not available; sAbD, specific antibody deficiency; SLE, systemic lupus erythematous.
Available laboratory data were compared between patients who were hospitalized and those managed as outpatients. Most recent IgG trough level (791 mg/dL vs 1090 mg/dL; P = .0033) and baseline absolute counts of CD3+ (683 cell/μL vs 1290 cell/μL; P = .0082), CD3+CD4+ (341 cell/μL vs 784 cell/μL; P = .0029), and CD19+ cells (24.3 cell/μL vs 101 cell/μL; P = .0081) were significantly lower in the hospitalized patients compared with the outpatients (Figure 1 ). There was no significant difference in age, sex, baseline IgG level before IgGRT, IgG monthly dosing, baseline absolute counts of CD3+CD8+ T cells and CD3−CD16+CD56+ natural killer cells, or switched memory B-cell percentages between these 2 groups (Table E1). Within patients with CVID only, hospitalization was associated with IgG trough level (806 mg/dL vs 1112 mg/dL; P = .0028) and baseline absolute CD3+CD4+ T-cell counts (276 cell/μL vs 652 cell/μL; P = .0485) (see Figure E1 in this article’s Online Repository at www.jaci-inpractice.org). Patients with CVID compared with all other patients with PAD had significantly higher IgGRT dose and lower levels of baseline IgA and IgM, but there were no significant differences in hospitalization, age, baseline IgG level, IgG trough, and other immune parameters.
Figure 1.
Serum IgG trough and absolute counts of peripheral lymphocyte subsets are lower in hospitalized patients with PAD on IgGRT than in outpatients. Serum IgG trough levels and baseline peripheral absolute counts of CD3+ and CD3+CD4+ T cells, and CD19+ B cells, were compared between hospitalized and nonhospitalized patients with PAD on IgGRT who were diagnosed with COVID-19.
Figure E1.
CVID-only, hospitalized vs outpatient lab comparisons.
Next, we compared the well-established comorbidities associated with poor outcome of COVID-19 between hospitalized and nonhospitalized PAD patients with COVID-19.6 Frequencies of lung disease, autoimmune disorder, malignancy, use of immunosuppressive therapy, hypertension, coronary artery disease, diabetes mellitus, obesity, chronic kidney disease, smoking, and congestive heart failure (CHF) were compared.6 Of these, hospitalized patients presented with a significantly higher frequency of CHF than nonhospitalized patients (50% vs 0%; P = .0113; Table I). Although lung disease did not show a significant difference between hospitalized patients and outpatients in all patients with PAD, an increased percentage of lung disease was observed in hospitalized patients with CVID compared with outpatients (100% vs 33%; P = .069; Table I). Many of our patients did not have recent chest imaging (Table I); therefore, assessment of current lung disease was limited.
This study showed that hospitalized patients with PAD on IgGRT due to COVID-19 presented with lower IgG trough level and absolute counts of CD3+, CD3+CD4+ T cells, and CD19+ B cells, as well as higher frequency of CHF compared with nonhospitalized patients. Lymphocytopenia and exhaustion of T lymphocytes have been associated with worse COVID-19 outcomes.9 CHF is also one of the well-described comorbidities associated with poor outcome of COVID-19.6 However, to our knowledge, this is the first study demonstrating an association of lower IgG trough level with hospitalization for COVID-19 in patients with PAD receiving IgGRT. High-dose immunoglobulin therapy (1 g/kg) is frequently used as an immune-modulating therapy for autoimmune and inflammatory disorders.1 Although IgGRT is typically lower in dose (400-600 mg/kg) in PAD, IgGRT was also shown to modulate T-cell immunity by increasing CD4+ T-cell counts and suppressing CD8+ T-cell activation,2 and diminishing proinflammatory responses of monocytes.3 Therefore, it is tempting to speculate that maintaining higher IgG trough levels may positively modulate the cellular immune response and inflammation, leading to favorable outcome of COVID-19.
Limitations of the study include the small sample size. Inherent to the retrospective chart review design, some subjects had incomplete clinical and laboratory values available for analysis. Six nonhospitalized subjects were treated with COVID-19 monoclonal antibody therapy as outpatients. Likely, their initial presentation was not severe for hospitalization; however, it is also feasible that this therapy may have later protected them from hospitalization. Further investigations are warranted to better characterize the effect of IgGRT on immune modulation and protection from severe disease outcomes of COVID-19 in patients with PAD.
Acknowledgments
Special thanks go to Soundari Sureshanand and Richard Hintz from the Joint Data Analytics Team (JDAT) at the Yale Center for Clinical Investigation for their proficient and efficient handling of data extraction and reporting. Data extraction was also supported by the Yale School of Medicine, Department of Internal Medicine, Clinical and Translational Research Accelerator. The content is solely the responsibility of the authors and does not necessarily represent the official views of the members of NIH, JDAT and the Clinical and Translational Research Accelerator.
Footnotes
This publication was supported by the National Center for Advancing Translational Science, a component of the National Institutes of Health (NIH) (grant no. KL2 TR001862 to J.J.S.). Data extraction was also supported by the Yale School of Medicine, Department of Internal Medicine, Clinical and Translational Research Accelerator. The content is solely the responsibility of the authors and does not necessarily represent the official views of the members of NIH, Joint Data Analytics Team, and the Clinical and Translational Research Accelerator.
Conflicts of interest: The authors declare that they have no relevant conflicts of interests.
Online Repository
Methods
Defining diagnoses of PADs
CVID was defined with low IgG, IgA, and/or IgM levels (2 SDs below the mean for age) and decreased immune response to a pneumococcal polysaccharide vaccine (PNA) vaccine.E1 For PNA vaccine response, we used either 14 or 23 serotype panel that was available for both prevaccination and postvaccination. Protective titer was defined as titer greater than or equal to 1.3 μg/mL, and patients with more than 70% of serotypes with protective titers after vaccination were considered to have protective PNA vaccine response.E1 IgG deficiency was assigned if IgG levels were lower than 2 SD below the mean for age without meeting the criteria for CVID.E1 IgG subclass deficiency was assigned if IgG subclass 1, 2, 3, or 4 levels were lower than 2 SD below the mean of age, with normal levels of total IgG and other IgG subclasses.E1 Specific antibody deficiency was assigned if a patient had a low immune response to a PNA vaccine but normal levels of IgG, IgA, and IgM.E1 Patients were excluded from this study if chart review revealed an alternative cause for hypogammaglobulinemia such as intestinal loss, chronic corticosteroid use, preexisting diagnoses of hematopoietic malignancies before the diagnosis of PADs, or use of B-cell–depleting therapies.
Table E1.
Immunologic characteristics, IgGRT dose, and IgG trough levels of PAD patients with COVID-19
| Patient | Age (y) | Sex | Baseline (mg/dL) |
Baseline (cells/mm3) |
Baseline (%) |
Pneumococcal vaccine response |
IgG trough (mg/dL) | IgGRT dose (mg/kg/mo) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IgG | IgA | IgM | CD3 | CD4 | CD8 | NK | CD19 | smB | Clinically noted poor response?∗ | Serotypes with titer ≥1.3 μg/mL |
Serotypes with titer ≥0.35 μg/mL |
|||||
| 1 | 21 | M | 490 | 0 | 20 | 1701 | 707 | 714 | 105 | 27 | 0.8 | NA | 8 of 23 | 17 of 23 | 1096 | 925 |
| 2 | 25 | F | 591 | 14 | 32 | 1448 | 766 | 590 | 38 | 84 | 1 | Yes | 8 of 23 | 22 of 23 | 1000 | 430 |
| 3 | 35 | F | 638 | 0 | 5 | NA | NA | NA | NA | NA | NA | Yes | 3 of 14 | 8 of 14 | 1350 | 820 |
| 4 | 64 | F | 74 | 0 | 67 | 994 | 783 | 192 | 104 | 71 | 0.1 | Yes | 0 of 14 | 1 of 14 | 1017 | 960 |
| 5 | 65 | F | 463 | 62 | 65 | 727 | 570 | 191 | 220 | 124 | NA | Yes | 8 of 23 | 18 of 23 | 986 | 230 |
| 6 | 65 | F | 453 | 52 | 55 | 993 | 741 | 234 | 227 | 122 | 5.6 | NA | 1 of 14 | NA | 1072 | 400 |
| 7 | 69 | F | NA | 35 | 22 | 1562 | 475 | 1025 | 152 | 19 | NA | NA | NA | NA | 1141 | 515 |
| 8 | 71 | M | 435 | 67 | 27 | 1218 | 1003 | 193 | 263 | 64 | NA | Yes | 5 of 14 | 9 of 14 | 1132 | 500 |
| 9 | 32 | F | NA | 0 | 0 | 360 | 170 | 180 | 37 | 106 | NA | NA | NA | NA | 1211 | 455 |
| 10 | 39 | M | NA | 0 | 17 | 2430 | 1010 | 792 | 273 | 0 | NA | NA | NA | NA | 526 | 200 |
| 11 | 42 | F | NA | 218 | 127 | 1235 | 793 | 402 | 233 | 166 | NA | Yes | NA | NA | 1146 | 500 |
| 12 | 65 | F | 454 | 155 | 122 | 975 | 654 | 321 | 71 | 119 | 12.8 | Yes | 7 of 23 | 13 of 23 | 1207 | 480 |
| 13 | 69 | M | 586 | 173 | 63 | 1034 | 740 | 262 | NA | NA | NA | No | 17 of 23 | 23 of 23 | 586 | † |
| 14 | 71 | M | 310 | 357 | 65 | 1745 | 1299 | 467 | 203 | 61 | 19.2 | Yes | 5 of 14 | 11 of 14 | 1062 | 410 |
| 15 | 57 | F | 1109 | 407 | 93 | 1623 | 1267 | 430 | 796 | 290 | NA | Yes | 6 of 23 | 17 of 23 | 1633 | 350 |
| 16 | 42 | F | 875 | 393 | 142 | 1047 | 645 | 399 | NA | 206 | NA | NA | 1 of 23 | 8 of 23 | 1330 | 380 |
| 17 | 72 | M | 692 | 314 | NA | 1479 | 922 | 556 | 192 | 52 | NA | NA | NA | NA | 1037 | 420 |
| 18 | 58 | F | 527 | 110 | 26 | 974 | 554 | 358 | 113 | 60 | 15.8 | Yes | NA | NA | 527 | † |
| 19 | 68 | M | 198 | 9 | 0 | NA | NA | NA | NA | NA | 0.1 | Yes | 0 of 14 | 0 of 14 | 900 | 600 |
| 20 | 70 | M | 486 | 61 | 10 | 220 | 145 | 64 | 173 | 12 | 4.8 | Yes | 9 of 23 | 17 of 23 | 896 | 350 |
| 21 | 77 | F | NA | 59 | 94 | 524 | 129 | 98 | 206 | 19 | 18.3 | NA | NA | NA | 901 | 540 |
| 22 | 18 | F | 0 | 0 | 0 | 1000 | 603 | 338 | 197 | 15 | NA | NA | NA | NA | 995 | 400 |
| 23 | 74 | F | 454 | 268 | 80 | 699 | 272 | 436 | 50 | 16 | 8.2 | Yes | 2 of 14 | 6 of 14 | 528 | 400 |
F, Female; M, male; NA, information not available; NK, natural killer; smB, switched memory B.
Clinically noted in chart as poor pneumococcal vaccine responder in charting documentation, independent of available laboratory data in our electronic medical system because some patients had outside workup done before establishing care.
Not yet started on IgGRT.
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