Literature DB >> 32802416

Infectious Complications Reporting in Common Variable Immunodeficiency: A Systematic Review and Meta-analysis.

Hamed Zainaldain1, Fatema Sadaat Rizvi1, Hosein Rafiemanesh2, Mahla Alizadeh3,4, Mahnaz Jamee3,4, Sara Mohammadi1, Fatemeh Kiaee5, Hamed Mohammadi6, Farhad Babaie7, Reza Yazdani1, Hassan Abolhassani8, Asghar Aghamohammadi1, Gholamreza Azizi4.   

Abstract

OBJECTIVES: Common variable immunodeficiency (CVID) is a heterogeneous disorder characterized by hypogammaglobulinemia and increased susceptibility to recurrent infections.
METHODS: We searched PubMed, Web of Science, and Scopus databases to find eligible studies from the earliest available date to January 2018 with standard keywords. Pooled estimates of the infection prevalence and the corresponding 95% confidence intervals were calculated using random-effects models.
RESULTS: We found that pneumonia (67.7%) was the most prevalent infection followed by upper respiratory tract (59.0%) and gastrointestinal infections (36.3%). Furthermore, bacterial complications (41.7%) were higher in CVID patients compared to viral (25.4%), parasitic (18.8%), or fungal (3.4%) infections. Patients with longer age at diagnosis presented with fewer disease comorbidities. There was an inverse correlation between T lymphocyte count and viral infections. Moreover, we found that immunoglobulin M (IgM) serum level was inversely correlated with hepatitis C and gastrointestinal infections, and IgG serum level was inversely correlated with infectious arthritis. Higher numbers of CD4 and CD8 T cells were associated with the lower frequencies of otitis media. CVID patients with infections had significantly lower percentages of CD3 T cells. In contrast, higher percentages of CD19 lymphocytes were found in CVID patients who had a history of infections.
CONCLUSIONS: Our findings demonstrated that in addition to hypogammaglobulinemia, patients with CVID have an imbalance in the frequency of T lymphocytes, which is in parallel with the higher frequency of infectious complications. The OMJ is Published Bimonthly and Copyrighted 2020 by the OMSB.

Entities:  

Keywords:  Common Variable Immunodeficiency; Hypogammaglobulinemia; Otitis Media; Pneumonia; Sinusitis

Year:  2020        PMID: 32802416      PMCID: PMC7417520          DOI: 10.5001/omj.2020.64

Source DB:  PubMed          Journal:  Oman Med J        ISSN: 1999-768X


Common variable immunodeficiency (CVID) is a heterogeneous category and the most common clinically significant primary immunodeficiency (PID) disorder characterized by impaired B cell differentiation to memory B cell and plasma cell.[1] Diagnosis of CVID is done by a marked reduction of at least two immunoglobulin (Ig) isotypes: IgG with IgA and/or IgM, and impaired specific antibody production against protein or polysaccharide antigens and vaccines.[2,3] Likewise, T-cell dysfunctions are reported in approximately one-third of CVID patients and contribute to the more variable clinical manifestations of the disease such as the development of opportunistic or unusual infections.[2,4-6] Several reports proposed that CVID represents a heterogeneous disease spectrum with a variety of clinical presentations including autoimmune disorders (AID), lymphoproliferative disease, enteropathy, malignancy, and recurrent bacterial and viral infections.[7,8] Recurrent infections are among the first and the most common clinical manifestation of the disease. Acute and chronic infections are a leading cause of morbidity in patients with CVID.[7] Approximately, all CVID patients presented with recurrent upper and/or lower respiratory tract infections, including otitis media, sinusitis, bronchitis, and pneumonia.[6,9,10] Recurrent infections especially respiratory tract infections (20–96%) and gastrointestinal infections (30–88%) are associated with a low subset of B cells, specifically reduced isotype-switched memory B cells and reduced immunoglobin levels.[5,11-14] In this review, we sought to evaluate the existing evidence for rates of infectious complications, and performed a cumulative analysis of all studies reporting these complications. To the best of our knowledge, this is the first systematic review examining the infectious findings in CVID.

Methods

This systematic review and meta-analysis is carried out based on PRISMA statement guidelines.[15] Our search strategy composed of three components: (1) comprehensive searching of international and national electronic databases for published documents, (2) hand-searching of the reference section of the retrieved scientific documents, and (3) contacting experts in the field in order to assess unavailable papers. We performed a comprehensive search using the Scopus, PubMed, and Web of Science databases to gather English articles published up to January 2018. Search strategy keywords and MeSH terms were categorized in two groups and combined: (1) ‘CVID’, ‘common variable immunodeficiency’, ‘hypogammaglobulinemia’, ‘primary antibody deficiency’; and (2) ‘infection’, ‘pneumonia’, ‘sinusitis’, ‘otitis’, ‘meningitis’, ‘diarrhea’, ‘hepatitis C’, ‘skin infection’, ‘gastrointestinal infection’, ‘candidiasis’, ‘upper respiratory tract infection’, ‘tonsillitis’, ‘pharyngitis’, ‘abscess’, ‘conjunctivitis’, ‘CNS infection’, ‘sepsis’, ‘septic arthritis’, ‘osteomyelitis’, ‘bacterial infection’, ‘viral infection’ ‘parasitic infection’, or ‘fungal infection’. Screening of the gathered documents was done in two steps. We first screened by title and abstract to exclude all irrelevant studies, and then assessed the full texts for eligibility criteria. The inclusion criteria were: (1) English-language studies; (2) study design as prospective or retrospective cohort, cross-sectional, case series, or case-control studies; (3) studies conducted on human subjects; (4) the targeted population were those who met the international (PAGID and/or European Society for Immunodeficiency (ESID) diagnostic criteria for diagnoses of CVID; (5) their subject of the evaluation was the epidemiological, clinical, and immunological features of patients; and (6) their primary or alternative outcome of interest was infection incidence or prevalence. Additionally, to gain further insight into the characteristics of CVID patients who developed infections, data from all studies which describe in detail the characterization of CVID patients either with infections or without infections was obtained. Review articles, studies using animal models, and studies regarding other types of PID than CVID were all excluded. For studies with overlapping data, only the study with the largest patient cohort was included. Both the steps were done independently by two reviewers, and discrepancies between the reviewers were resolved by the third reviewer. Two authors extracted data independently from the included studies based on title and abstracts in a standardized Microsoft Excel spreadsheet. Any disagreements were resolved by discussing and consensus with a third author. The following data were collected from all identified studies: name of the first author, published year, the country of origin of the study, study design, the population characteristics, demographics, clinical, and immunologic data. The medical records of all papers were gathered if a case was reported in more than one study. Aggregated data analysis was done with simple pooled data to provide an overall summary of subgroup data or data from a number of related studies. Data were combined without being weighted, and the analysis was performed as if the data were derived from a single sample. Central and descriptive statistics were reported for quantitative data. For variables with skewed distribution, median and interquartile range (IQR) were reported as the index of data dispersion. Analytical analyses was performed using Mann-Whitney U, chi-square, and Fisher’s exact tests. Meta-analysis was performed for the prevalence data on infections and various types of infections in the studies of CVID. Given the expected heterogeneity between studies, a meta-analysis was performed using a random-effects model to account for inter-study variation. Heterogeneity was assessed using the I-square (I2) statistic, which describes the percentage of variation between studies that is due to heterogeneity rather than chance. Data analysis was conducted STATA v.14 software (Stata-Crop, College Station, TX).

Results

The results of the literature search and selection process are shown in Figure 1. A total of 16 969 articles were retrieved from the initial search from which 5384 were duplicated studies. After screening 11 585 studies for titles and abstracts, 481 articles were selected, and the full texts were assessed. Of the 481 studies, 366 studies did not meet the eligibility criteria, from which most did not present the data of infections independently, and 36 case reports were excluded. Finally, 79 studies met the inclusion criteria and were analyzed.[4-14,16-83] The characteristics of the included studies in this systematic review are depicted in Table 1. The sample sizes of CVID patients varied from 4 to 2212 in a study from the ESID. The studies were conducted in 19 countries with most originating from the US (n = 11), Iran (n = 12), and France (n = 9). The oldest study was carried out in 1972 and the latest in 2018.
Figure 1

Flow diagram of the systematic review and meta-analysis for infections in CVID.

Table 1

Main characteristics of the included studies on the prevalence of infection in common variable immunodeficiency patients.

First author (year of publication)CountryStudy designRecruitment setting and methodsFinal sample size (male and female)Age characteristics for total sample, yearsPneumonia n (%)(95% CI)Otitis n (%)(95% CI)Sinusitis n (%)(95% CI)GI n (%)(95% CI)Other infection n (%)(95% CI)
Desjardins, M. (2018)CanadaCase-controlMcGill University Health Centre and Centre Hospitalier Universitaire de Québec42 (M = 14, F = 28)Mean age of onset = 18.1Mean age of diagnosis = 32.126 (61.9)(45.6–76.4)URTI: 33 (78.6) (64.1–88.3)Sepsis: 2 (4.8) (0.6–16.2)CNS infection: 2 (4.8) (0.6–16.2)
Erazo-Borrás, L. (2017)ColombiaCase-control-22 (M = 12, F = 10)Age of onset median = 5 (0.5-42)Median age at diagnosis = 26 (6–49)Median current age = 37 (13–63)16 (72.7) (49.8–89.3)10 (45.5) (24.4–67.8)11 (50.0)(28.2–71.8)7 (31.8)(13.9–54.9)SI: 8 (36.4) (17.2–59.3)Pharyngitis: 7 (31.8) (13.9–54.9)Tonsillitis: 7 (31.8) (13.9–54.9)
Azizi, G. (2018)IranCase-controlNational registry of PIDChildren’s Medical Center affiliated to Tehran University of Medical Sciences72 (M = 41, F = 31)Median current age = 24 (33.5–16.25)Median age of onset = 4.0 (11.0–1.0)Median age of diagnosis = 13.50 (28.75–7.0)52 (72.2)(60.4–82.1)35 (48.6)(36.7–60.7)44 (61.1)(48.9–72.4)Conjunctivitis: 10 (13.9) (6.9–24.1)CNS infection: 8 (11.1) (4.9–20.7)
Azzu, V. (2017)UKCase series4 (M = 3, F = 1)Average age at diagnosis = 261 (25.0) (4.6–69.9)URTI: 1 (25.0) (4.6–69.9)Abscess: 2 (50.0) (15.0–85.0)
Sanchez, L. (2017)USCohortUnited States Immunodeficiency Network (USIDNET) database349 (M = 190, F = 159)Age range: 3–91Early onset (2–10) = 110 patientsAdolescent onset (11–17) = 83 patientsAdult onset (> 18) = 264 patientsAge of diagnosis range: 2–76.9299 (65.4)(60.9–69.8)205 (44.9)(40.2–49.5)357 (78.1)(74.0–81.8)86 (18.8) (15.3–22.7)Candida: 68 (14.9) (11.7–18.5)SI: 86 (18.8)(15.3–22.7)Sepsis: 38 (8.3) (6.0–11.2)Abscess: 36 (7.9) (5.6–10.7)Osteomyelitis: 4 (0.9) (0.2–2.2)Conjunctivitis: 54 (11.8) (9.0–15.1)Pharyngitis: 73 (16.0) (12.7–19.7)Tonsillitis: 23(5.0) (3.2–7.5)CNS infection: 29 (6.3) (4.3–9.0)
Valizadeh, A. (2017)IranCohortChildren’s Medical Center Hospital, Pediatrics Center of Excellence120 (M = 67, F = 53)Median age, year (IQR) = 20 (14–28)Age of onset = 2 (0.6–6)Age of diagnosis median (IQR) = 9 (4–15.7)42 (35.0) (26.5–44.2)SI:24 (20.0) (13.3–28.3)URTI: 39 (32.5) (24.8–41.3)Abscess: 3 (2.5) (0.5–7.1)Conjunctivitis: 36 (30.0) (22.0–39.0)Septic arthritis: 10 (8.3) (4.1–14.8)CNS infection: 4 (3.3)(0.9–8.3)
Friedmann, D. (2017)GermanyCase-control-58 (M = 24, F = 34)Age range: 19–7525 (43.1)(30.2–56.8)
Selenius, J. (2017)FinlandCross-sectionalHospital District of Helsinki and UusimaaAdult Immunodeficiency Unit of Helsinki University Hospitalclinics in Kymenlaakso Social and Health Services (Carea) and South Karelia Social and Health Care District (Eksote)132 (M = 67, F = 65)Age range at diagnosis: 9–74Age range at the time of study: 20–8413 (50.0)(29.9–70.1)
Çalişkaner, A. (2016)TurkeyCohortAdult immunology clinic in the Central Anatolia region of Turkey,25 (M = 12, F = 13)Mean age = 36.6 ± 13.4Delay in diagnosis was 107 ± 95.6 months19 (76.0)(54.9–90.6)3 (12.0) (4.2–30.0)2 (8.0) (1.0–26.0)URTI: 3 (12.0) (4.2–30.0)
Furudoï, A. (2016)FranceCohort10 patients were registeredin the French DEFI cohort and seven patients were followed up in the Department of Internal Medicine, Haut-Le vveˆque Hospital17 (M = 8, F = 9)Age of onset mean = 20.1Age of diagnosis mean = 34.911 (68.8)(41.3–89.0)7 (43.8) (19.8–70.1)1 (6.3)(0.2–30.2)CNS infection: 3 (18.8) (4.0–45.6)
Janssen, W.(2017)NetherlandsCohortDepartment of Pediatric Immunology and Infectious Diseases, Laboratory of Translational Immunology, Wilhelmina Children’s Hospital55 (M = 30, F = 25)-29 (43.6) (31.4–56.7)URTI: 29 (43.6) (31.4–56.7)
Kutukculer, N.(2016)TurkeyCase-controlEge University Pediatric Immunology Department20 (M = 17, F = 3) in case (CVID)Mean age of onset = 7Mean age of diagnosis = 8
Mokhtari, M.(2016)IranRetrospective CohortChildren’s Medical Center (Pediatrics Center of Excellence)185 total 113 studied (M = 69, F = 44)Mean age of onset = 5.9 ±4.7 Mean age of diagnosis = 12.7±11.393 (82.3)(74.0–88.8)78 (69.0)(59.6–77.4)CNS infection: 12 (10.6) (5.6–17.8)
Yazdani, R.(2016)IranCase-controlChildren’s Medical Center (Pediatrics Center of Excellence)30 (M = 20, F = 10)Mean age = 23.43 ± 11.58Mean age of onset = 6.32 ± 8.57Mean diagnostic delay = 6.21 ± 5.4323 (76.7)(57.7–90.1)16 (53.3)(34.3–71.7)19 (63.3)(43.9–80.1)
Lin, L.(2015)ChinaFive cases from Peking University First Hospital35 cases from China National Knowledge Infrastructure and Wan Fang Database40 (M = 30, F = 10)Median age at onset = 11 (range: 4–51)Median age at diagnosis = 14.5 (range: 5–66). Average time of delay in diagnosis = 5.3 years (range: 1–41)28 (70.0)(53.5–83.4)7 (17.5)(7.3–32.8)5 (12.5)(4.2–26.8)12 (30.0)(16.6–46.5)SI: 1 (2.5) (0.1–13.2)Abscess: 2 (5.0) (0.6–16.9)CNS infection: 1 (2.5) (0.1–13.2)
Lougaris, V.(2016)ItalyPediatrics Clinic, University of Brescia, Italy15(M = 9, F = 6)Mean age at diagnosis = 15 Mean age at the time the study = 27.38 (53.3) (26.6–78.7)
Musabak, U.(2017)Turkey-31 (M = 19, F = 12)Current age median = 28Age at diagnosis median =23Delay in diagnosis median = 1420 (64.5)(45.4–80.8)14 (45.2)(27.3–64.0)26 (83.9)(66.3–94.5)12 (38.7) (21.8–57.8)Candida: 3 (9.7) (2.0–25.8)SI: 2 (6.5)(0.8–21.4)CNS infection: 2 (6.5) (0.8–21.4)
Arshi, S.(2016)IranRetrospective CohortThe Allergy and Clinical Immunology department of Rasol E Akram Hospital of Iran University of Medical sciences, Tehran, Iran47 (M = 47, F = 0)Mean age = 27 (range: 4–63)Mean follow-up time = 6.8 (range: 0.5–23). Mean age of onset = 11.2 (range: 1–32)Mean diagnostic delay = 912 (25.5) (13.9–40.3)SI: 16 (34.0) (20.9–49.3)Abscess: 12 (25.5) (13.9–40.3)Osteomyelitis:10 (21.3) (10.7–35.7)CNS infection: 6 (12.8) (4.8–25.7)
Dong, J.(2016)ChinaRetrospective cohortInpatients or outpatients of the Affiliated Hospital(the largest tertiary referral center) of Qingdao University,8 (M = 5, F = 3)Mean age at onset = 32.5 ± 12.6(range: 15–49)Mean age at diagnosis = 43 ± 13.7 yearMean diagnostic delay = 10.55 (62.5)(24–591.5)1 (12.5)(0.3–52.7)
Gathmann B.(2014)European SocietyCohort28 medical centers contributing to the European Society for Immunodeficiencies2212 (M = 1081, F = 1131)-288 (31.9)(28.9–35.1)CNS infection: 36 (4.0)(2.8–5.5)
Berrón-Ruiz, L.(2014)MexicoCohortInstituto Nacional de Pediatría and Centro Médico Nacional ‘‘La Raza’’ Instituto Mexicano del Seguro Social, Mexico City16 (M = 6, F = 10)Mean age at onset = 12.2Mean age at diagnosis = 14.614 (87.5)(61.7–98.4)7 (46.7)(21.3–73.4)12 (75.0)(47.6–92.7)12 (75.0)(47.6–92.7)CNS infection: 16 (100) (79.4–100)
Maglione, P.(2014)USRetrospective analysiselectronic medical records from Mount Sinai Hospital (New York, New York)61 (M = 27, F = 34)Median age of 47 years (range: 14–89)33 (54.1)(40.8–66.9)
Ramírez-Vargas, N.(2014)MexicoCohortImmunol ogy Division of seven different reference centres in Mexico43 (M = 23, F = 20)Age of onset median = 13.7Age of diagnosis median = 1936 (83.7)(69.3–93.2)21 (48.8)(33.3, 64.5)36 (83.7)(69.3–93.2)30 (69.8)(53.9–82.8)Candida: 2 (4.7) (0.6–15.8)Sepsis: 2 (4.7) (0.6–15.8)Abscess: 2 (4.7) (0.6–15.8)Osteomyelitis: 2 (4.7) (0.6–15.8)CNS infection: 7 (16.3) (6.8–30.7)
Agondi, R.(2013)BrazilCross-sectionalPrimary Immunodeficiency Outpatient Clinic of the Division of Clin- ical Immunology and Allergy, University of Sa ~o Paulo, from January 2009 to December 201172 (M=35, F=37)Mean age at onset = 13.8 ±10.7Mean age at diagnosis = 28.6 ± 12.5Mean time to diagnosis = 14.8 ± 12.0 years53 (73.6)(61.9–83.3)45 (62.5)(50.3–73.6)CNS infection: 5 (6.9) (2.3–15.5)
Mohammadinejad P.(2012)IranCohortChildren medical center affiliated to the Tehran university of medical science69 (M=34, F=35)Mean time of follow-up = 5.2 ± 4.3 yearsMean diagnostic delay = 4.4 ± 3.6 years53 (76.8)(65.1–86.1)10 (14.5)(7.2–25.0)41 (59.4)(46.9–71.1)40 (58.0) (45.5–69.8)SI: 10 (14.5)(7.2–25.0)URTI: 44 (63.8) (52.0–74.1)Sepsis: 2 (2.9) (0.4–10.1)Abscess: 14 (20.3) (11.6–31.7)Osteomyelitis: 1 (1.4) (0.0–7.8)Conjunctivitis: 17 (24.6) (15.1–36.5)Pharyngitis: 5 (7.2) (2.4–16.1)Septic arthritis: 10 (14.5) (7.2–25.0)CNS infection: 6 (8.7) (3.3–18.0)
Bayry, J.(2011)FranceCase-Control-10 (M = 8, F = 2)Mean age = 32.5 (23–66)3 (30.0) (6.7–65.2)1 (10.0)(0.3– 44.5)3 (30.0)(6.7–65.2)1 (10.0)(0.3–44.5)Candida: 3 (30.0) (6.7– 65.2)Conjunctivitis: 1 (10.0) (0.3–44.5)
Al-Herz, W.(2011)KuwaitCohortAllergy and Clinical Immunology Unit, Department of Pediatrics (Al-Sabah Hospital), and the Pediatric Dermatology Unit of the National Dermatology Center between January 2004 and December 2009128 (5 cvid)Mean age at onset = 0.89 ± 1.34Mean age at diagnosis = 3.16 ± 3.48SI: 1 (20.0) (0.57–1.6)
Malamut, G.2010FranceRetrospective cohortTen referral centers in France (six gastroenterology departments, two internal medicine departments, one hematology department, one clinical immunology department), between January 1962 and July 200450 (M=26, F=24)Mean age at onset = 34.5 ± 14.3Mean age at diagnosis = 36.8 ± 15.6
Aghamohammadi, A.(2010)IranRetrospectiveThe Immunodeficiency Clinic at the Children’s Medical Center affiliated to Tehran University of Medical Sciences76 (M = 43, F = 33)Age at study = 17 (2–59)Age of onset = 2 (0.5–46)Age of diagnosis =9 (2–54)Diagnostic delay = 5 (1–32) years59 (77.6)(66.6–86.4)
Ardeniz, O.(2010)TurkeyCohortEge University Medical Faculty Internal Medicine Division of Allergy and Clinical Immunology23(M = 13, F = 10)Median age of onset = (F: 12.5 and M: 15)Median age of diagnosis = (F: 33 and M: 28)14 (60.9)(38.5–80.3)21 (91.3)(72.0–98.9)21 (91.3)(72.0–98.9)Hep C:1 (4.3)(0.1–21.9)Sepsis: 1 (4.3) (0.1–21.9)CNS infection: 2 (8.7) (1.1–28.0)
Carvalho, K.(2010)BrazilCase-controlDivision of Pediatric Clinical Immunology located at the Federal University of Sao Paulo17 (M = 7,F = 10)Median age at diagnosis (IGR) = 22 (IQR = 13.26)Median age at first symptoms (IQR) = 12 (3.16)15 (88.2)(63.6–98.5)6 (35.3)(14.2–61.7)11 (64.7)(38.3–85.8)
Salehzadeh, M.(2010)IranCohortDivision of Allergy and Clinical Immunology of Children’s Medical Center Hospital24 (M = 17, F = 7)Median age at diagnosis (IQR) = 102.5 months (2–43 years)Median diagnostic delay (IQR) = 63.5 months (3–477 months)21 (87.5)(67.6–97.3)16 (66.7)(44.7–84.4)19 (79.2)(57.8–92.9)21 (87.5)(67.6–97.3)Candida: 5 (20.8) (7.1–42.2)SI:8 (33.3) (15.6–55.3)Abscess: 5 (20.8) (7.1–42.2)Conjunctivitis: 8 (33.3) (15.6–55.3)Septic arthritis: 5 (20.8) (7.1–42.2)
Van de ven, A.(2010)NetherlandsCohortThirty-eight pediatric CVID patients of the Wilhelmina ’Children’s Hospital in Utrecht, The Netherlands, were included38 (M = 32, F = 6)9Mean age at diagnosis = 5.5 ± 2.52 (22.2) (2.8–60.0)2 (22.2) (2.8–60.0)URTI: 7 (77.8) (45.3–93.7)Sepsis: 2 (22.2) (2.8–60.0)CNS infection: 1 (11.1) (0.3–48.2)
Yong, P. (2010)USCohortChildrens Hospital of Philadelphia24 (M = 14, F = 10)Age of onset ≥ 2Median age of diagnosis = 8411 (45.8)(25.6–67.2)12 (50.0)(29.1–70.9)12 (50.0)(29.1–70.9)Sepsis: 3 (12.5) (2.7–32.4)CNS infection: 1 (4.2) (0.1–21.1)
Mamishi, S.(2010)IranRetrospective cohortChildren’s Medical Center Hospital26 (M = 15, F = 11)Mean age =6.87 ± 4.1516 (61.5)(40.6–79.8)20 (76.9)(56.4–91.0)20 (76.9)(56.4–91.0)Hep C: 1Sepsis: 3 (11.5) (2.4–30.2)Septic arthritis: 2 (7.7) (0.9–25.1)
Huck, K.(2009)GermanyCase-controlPediatric immunodeficiency clinic in Düsseldorf, Germany (From 1997–2007)16 (M = 8, F = 8)Mean age at diagnosis = 9 years and 9 months,Mean age at onset = 4 years and 8 months Diagnostic delay = 5 years10 (90.9)(58.7–99.8)7 (43.8)(19.8–70.1)6 (37.5)(15.2–64.6)3 (27.3)(6.0–61.0)SI: 1 (9.1) (1.6–37.7)Osteomyelitis: 2 (18.2) (2.3–51.8)Conjunctivitis: 1 (9.1) (0.2–41.3)Tonsillitis: 2 (18.2) (2.3–51.8)Septic arthritis: 1 (9.1) (0.2–41.3)
Llobet, M.(2009)SpainRetrospective cohortThe University ChildrenÕs Hospital Vall dÕHeb- ron, Barcelona22 (M = 15, F = 7)Median age at diagnosis = 7.8 (Range: 2.5–16 years)15 (68.2) (45.1–86.1)8 (36.4)(17.2–59.3)SI: 5 (22.7) (7.8–45.4)URTI: 11 (50.0) (30.7–69.3)Sepsis: 2 (9.1) (1.1–29.2)
Urschel, S.(2009)GermanyRetrospe ctive cohortPediatric Immunology and Infectious Diseases, University Children’s Hospital, Ludwig Maximilians University32 (M = 15, F = 17)Median age at diagnosis = 10.425 (78.1)(60.0–90.7)22 (68.8)(50.0–83.9)25 (78.1)(60.0–90.7)10 (31.3)(16.1–50.0)SI: 7 (15.9) (6.6–30.1)Sepsis: 5 (15.6) (5.3–32.8)Conjunctivitis: 3 (9.4) (2.0–25.0)CNS infection: 8 (25.0) (11.5–43.4)
Yu, G.(2009)USACase-controlStanford Hospital and Clinics and Lucile Packard Children’s Hospita14 (M = 8, F = 6)Mean age = 32 (range: 6–67)1 (7.1)(0.2–33.9)
Melo, K. M.(2009)BrazilCase-controlRecruited at the Division of Clinical Immunology at UNIFESP (Sao Paulo, Brazil)16 (M = 6, F = 10)Median age at diagnosis = 22 (IQR = 13–26)Median age of onset = 12 (IQR = 3–16)Median diagnostic delay = 9 (IQR = 4–12)12 (75.0)(47.6–92.7)
Malphettes, M.(2009)FranceCohortThe French DEFI study (41 Centers)313 (285 CVID +28 LOCID) 285CVID (M = 119, F = 166)Median age of onset = 19Candida: 3; 1.0 (0.2, 2.8)URTI: 258; 82.4 (77.8, 86.2)
Aydogan, M.(2008)TurkeyCohortDivision of Pediatric Allergy and Immunology at Marmara University Medical Faculty10 (M = 6, F = 4)Age of onset median = 4 Age of diagnosis median = 9.410 (100)(69.2–100.0)7 (70.0)(34.8–93.3)7 (70.0)(34.8–93.3)
Oksenhendler, E.(2008)FranceCohortDepartment of Clinical Immunology, Hospital Saint-Louis in Paris252 CVID= (M = 110, F = 142) + 89 otherMedian age of onset = 19Median age of diagnosis = 33.9147 (58.3)(52.0–64.5)160 (63.5)(57.2–69.4)67 (26.6) (21.2–32.5)Candida: 2; 0.8 (0.1, 2.8)Hep C: 3; 1.2 (0.2, 3.4)URTI: 175; 69.4 (63.5, 74.8)Sepsis: 33; 13.1 (9.2, 17.9)CNS infection: 20; 7.9 (4.9, 12.0)
Ramyar, A.(2008)IranRetrospective analysisChildren Medical Center Hospital as the referral center for primary immunodeficiency disorders7 (M = 5, F = 2)-5 (71.4)(29.0–96.3)5 (71.4)(29.0, 96.3)4 (57.1)(18.4–90.1)Abscess: 7 (100) (64.6–100)
Rezaei, N.2008IranIranian Primary Immunodeficiency Registry- recruited from among the medical personnel of the Children’s Medical Center Hospital25 (M = 18, F = 7)Median age at onset = 13 months (range: 1–480)Median age at diagnosis = 97 months (range: 18–513)Median diagnostic delay = 45 months (2-452)24 (96.0)(79.6–99.9)17 (68.0)(46.5–85.1)19 (76.0)(54.9–90.6)13 (52.0) (31.3–72.2)Candida: 6 (24.0) (9.4–45.1)Osteomyelitis: 1 (4.0) (0.1–20.4)Conjunctivitis: 9 (36.0) (18.0–57.5)Septic arthritis: 6(24.0) (9.4–45.1)CNS infection: 1 (4.0) (0.1–20.4)
Sève, P.(2008)FranceRetrospective cohortDepartment of Internal Medicine, Hotel Dieu, 1 place de l’Hospital18 (M = 9, F = 9)14Median age of onset = 27.5 years Median age of diagnosis = 6URTI: 8 (57.1) (32.6–78.6)
Ward, C.(2008)UKCohortDepartmentof Immunology at the Oxford Radcliffe Hospitals108-Hep C: 6 (12.8) (4.8–25.7)
Johnston, D. T.(2007)USRetrospective analysisConsecutive patients with CVID[9] who had attended the Adult Primary Immunodeficiency Clinic, University of Alabama at Birmingham55 (M = 28, F = 27)-34 (61.8)(47.7–74.6)41; 74.5(61.0, 85.3)
Quinti, I.(2007)ITALYCohort26 Italian Centers belonging to the Italian Primary Immunodeficiency Network224 (M = 111, F = 1 13)Mean age of onset = 26.6 Mean age of diagnosis = 8.9110 (49.1)(42.4–55.9)87 (38.8)(32.4–45.6)121 (54.0)(47.3–60.7)Candida:20 (8.9) (5.5–13.5)Hep C: 15 (34.9) (21.0–50.9)Sepsis: 5 (2.2) (0.7–5.1)Septic arthritis: 5 (2.2) (0.7–5.1)CNS infection: 3 (1.3) (0.3,–3.9)
Khodadad, A.2007IranRetrospective cohortIranian Primary Immunodeficiency Registry39 (M = 24, F = 15)Mean age = 16 ± 12
Alachkar, H.(2006)UKCohortregional primary immunodeficiency clinics in Manchester, United Kingdom, in 2004—534-33 (97.1) (84.7–99.9)
Ogershok, P..(2006)West VirginiaCohortchildren younger than 18 years who presented with CVID between the years of 1992 to 2005 to the West Virginia University immunology clinic after approval of the local institutional review board12 (M = 8, F = 4)Mean age of onset = 8Mean age of diagnosis = 8.337 (58.3) (27.7–84.8)8 (66.7)(34.9–90.1)9 (75.0)(42.8–94.5)3 (25.0) (5.5–57.2)
Carbone, J.2006SpainCase-control-14 (M = 8, F = 6)Mean age = 37.4 (21–68)11 (78.6)(49.2–95.3)2 (14.3) (1.8–42.8)5 (35.7) (12.8–64.9)7 (50.0) (23.0–77.0)Conjunctivitis: 2 (14.3) (1.8–42.8)
Viallard, J.2006FranceCase-control-50 (M = 19, F = 31)Median age = 38 (17–77)23 (46.0(31.8–60.7)5 (10.0) (3.3–21.8)40 (80.0)(66.3–90.0)9 (18.0) (8.6–31.4)Pharyngitis: 16 (32.0) (19.5–46.7)
Fevang, B.(2005)NorwayCase-controlSection of Clinical Immunology and Infectious Diseases, Medical Department, Rikshospitalet University Hospital, Oslo71 (M = 40, F = 31)Median age = 44 (29–56)Median age of onset = 18 (6–35)Median age at diagnosis = 36 (20–49)38 (53.5) (41.3–65.5)URTI: 46 (64.8) (53.2–74.9)
Thickett, K.(2002)BirminghamRetrospective cohortDuring 1997/1998, patients with CVID attending the regional immunology clinic47 (M = 27, F = 20)Median age (range) = 45.5 (22–81)Median age at diagnosis (range) = 35.0 (5–72)Median time from first symptoms to diagnosis (range) = 4.0 (0.8–45) years9 (19.1)(9.1–33.3)22 (46.8) (32.1–61.9)
Cunningham-Rundles, C.2002USCohort-5 (M = 1, F = 4)or248Mean age at diagnosis = 33 (range: 13–46)2 (40.0)(5.3–85.3)1 (20.0)(0.5–71.6)URTI: 1 (20.0) (3.6–62.4)Sepsis: 3 (1.2) (0.3–3.5)Abscess: 4 (1.6) (0.4–4.1)Osteomyelitis: 2 (0.8) (0.1–2.9)Septic arthritis: 2 (0.8) (0.1–2.9)
Guazzi, V.(2002)ItalyCase-controlSeventeen patients affected by CVID and followed at the Division of Allergy and Clinical Immunology, University of Rome ‘La Sapienza’, were included17 (M=8, F=9)Age range = 24–61 (mean = 47)Hep C: 3 (17.6) (3.8–43.4)
Quinti, I.(2002)16 countriesCross-sectionalA questionnaire was sent to 125 clinical centers from 26 European countries952Mean age (range) = 47.8 (10–81)Hep C: 50 (5.3)(3.9–6.9)
Kainulainen, L.(2001)FinlandCohortThe Finnish Social Insurance Institute maintains a central register of patients with primary hypogammaglobulinemia97 (M = 54, F = 43)or18Median age = 33 yearsMedian age at diagnosis = 32 (0.5–73.0)Duration of symptoms before diagnosis (median) = 5 years (0.2–37.0)63 (66.3)(55.9–75.7)28 (29.5)(20.6, 39.7)57 (60.0)(49.4, 69.9)Conjunctivitis: 9 (9.5) (4.4–17.2)CNS infection: 6 (6.3) (2.4–13.2)
Martinez Garcia, M. A.(2001)SpainCross-sectionalDepartments of Allergology, Internal Medicine, Pediatrics and Pneumology of hospital Universitario La Fe, Valencia, Spain19 (M = 12, F = 7)Mean age at onset = 14.7Mean age at diagnosis = 23.214 (73.7)(48.8–90.9)12 (63.2)(38.4–83.7)12 (63.2)(38.4–83.7)Candida: 8 (42.1) (20.3–66.5)URTI:19 (100) (83.2–100.0)
Nijenhuis, T.(2001)NetherlandsCase seriesStarting with three affected family members (II:17, III:14 and IV:6; Fig. 1), we set out to analyze the pedigree6 (M = 2, F = 4)-3 (50.0)(18.8–81.2)1 (16.7)(0.4–64.1)SI: 1 (16.7) (0.4–64.1)URTI: 3 (50.0) (18.8–81.2)
Bjóro, K.(1999)NorwayCase-controlSection of Clinical Immunology and Infectious Disease, Department of Medicine, The National Hospital, Oslo58Median age = 44 (14–76)Hep C: 6 (10.3) (3.9–21.2)
Aukrust, P.(1999)NorwayCase-control-20 (M = 8, F = 12)Median age =43 (25–63) years6 (30.0)(11.9–54.3)
Kainulainen, L.(1999)FinlandCohortTurku University Hospital, Turku, Finland18 (M = 8, F = 10)Median age = 36 (7–69)Mean age at diagnosis = 31.5Mean diagnostic delay = 6.3 years14 (77.8) (52.4–93.6)5 (29.5) (20.6–39.7)10 (55.6) (30.8–78.5)
Cunningham-Rundles, C.(1999)USCase seriesMount Sinai MedicalCenter at Memorial Hospital in New York City, from 1973 to 1986 and at Mount Sinai Medical Center from 1986 to 1999, over a 25-year period248 (M = 102, F = 146)Median age of onset = F:28 and M:23 Median age of diagnosis = F:29 and M:33190 (76.6)(70.8–81.7)Candida: 3 (1.2) (0.3–3.5)Hep C: 14 (5.6)(3.1–9.3)URTI: 243 (98.0)(95.4–99.3)CNS infection: 4 (1.6) (0.4–4.1)
Nordoy, I.(1998)NorwayCase-controlSection of Clinical Immunology and Infectious Diseases, Rikshospitalet31 (M = 13, F = 18)-7 (9.7)(2.0–25.8)Hep C: 2 (6.5) (0.8–21.4)
Morris, A.(1998)UKMedical Research Council Immunodeficiency Clinic, Royal Free Hospital, London77 (M = 41, F = 36)Mean age = 46Mean age at diagnosis = 26.6Hep C: 3 (4.3)(0.9–12.2)
Aukrust, P.(1996)NorwayCase-control-24 (M = 9, F = 15)Median age = 38 (21–74)9 (37.5)(18.8–59.4)Hep C:2 (8.3) (1.0–27.0)
Rump, J. A.(1995)GermanyCase-control-15(M = 6, F = 9)Mean age = 44.4±13.8SI: 4 (30.8) (9.1–61.4)
Herbst, E. W.(1994)GermanyCase-controlInstitute of Pathologyand *Department of Internal Medicine, University of Freiburg17 (M = 7, F = 10) in case (CVID)-17 (100)(80.5–100.0)Candida: 2 (11.8) (1.5–36.4)SI: 2 (11.8) (1.5–36.4)Conjunctivitis: 3 (17.6) (3.8–43.4)Tonsillitis: 17 (100) (80.5–100.0)
Singh, Y.(1994)IndiaRetrospective cohortClinical Immunology Services of The AllIndia Institute of Medical Sciences14(M = 10, F = 4)Mean age = 12.1 (range: 2–40)12 (85.7) (57.2–98.2)URTI: 6 (42.9) (17.7–71.1)
Aukrust, P.(1994)NorwayCase-controlMedical Department A, University of Oslo, National Hospital, Rikshospitalet25 (M = 9, F = 16) in case (CVID)Age of onset = 28 (30) (11.9–54.3)Hep C: 1;
Pandolfi, F.(1993)USACase-controlDepartment of Allergy and Clinical Immunology, La Sapienza University of Rome40 (M = 19, F = 21)9Mean age of onset = 28.58 (88.9)(51.8–99.7)6 (66.7)(29.9–92.5)Hep C:1 (2.5) (0.1–13.2)URTI: 9 (100) (66.4–100.0)
Sweinberg, S..(1991)USARetrospectiveImmunology clinic at Children’s Hospital of Philadelphiabetween 1975 and 198812 (M = 6, F = 6)Mean age = 23.5±7.9Mean age at onset = 8.5±9.8 yearsMean age at diagnosis = 12.5±9.3Mean diagnostic delay = 4.1±4.2 years10 (83.3) (51.6–97.9)
Lebranchu, Y.(1991)FranceCase-control-9 (M = 3. F = 6)Mean age = 16–55 (range = 16–55)7 (77.8) (40.0–97.2)8 (88.9) (51.8–99.7)1 (11.1) (0.3–48.2)
Hansel, T.(1987)UKRetrospective cohortThe regional immunology laboratory in Birmingham161 (M = 96, F = 65)-145 (90.1)(84.4–94.2)URTI: 36 (22.4) (16.6–29.4)Sepsis: 27 (16.8) (11.4–23.5)Septic arthritis: 3 (1.9) (0.4–5.3)CNS infection: 8 (5.0) (2.2–9.6)
Conley, M..(1986)USCase seriesAll patients followed at Children’s Hospital of Philadelphia between 1980 and 1985. All patients followed at Children’s Hospital of Philadelphia between 1980 and 19858 (M = 3, F = 5)Mean age = 14.83Mean age at onset = 1.78Mean Age at diagnosis = 5.55 (62.5)(24.5–91.5)8 (100)(63.1–100.0)7 (87.5)(47.3–99.7)5 (62.5) (24.5–91.5)SI: 1 (12.5) (2.2–47.1)CNS infection: 1 (12.5) (0.3–52.7)
Gajl-Peczalska, K.(1973)USCase-control-9 (M = 6, F = 3)Mean age = 29.68 (88.9) (51.8–99.7)5 (55.6) (21.2–86.3)5 (55.6) (21.2–86.3)SI:1 (11.1) (2.0–43.5)Conjunctivitis: 1 (11.1) (0.3– 48.2)

PID: primary immunodeficiency; URTI: upper respiratory tract infection; CNS: central nervous system; SI: skin infection; IQR: interquartile range; CI: confidence interval.

Flow diagram of the systematic review and meta-analysis for infections in CVID. PID: primary immunodeficiency; URTI: upper respiratory tract infection; CNS: central nervous system; SI: skin infection; IQR: interquartile range; CI: confidence interval. Our findings showed that respiratory tract infection was the most frequent infectious complications in patients with CVID. Pneumonia prevalence was between 19.1% and 100%, and based on random effect model, the pooled prevalence was 67.7% (95% confidence intervals: 61.5–74.0; I2 = 94.8) and it was the most prevalent infection [Figure 2], followed by upper respiratory tract infections (URTIs) with a prevalence of 59.0%. Sinusitis, otitis media, and tonsillitis showed higher prevalence among URTIs with 57.6%, 46.5%, and 38.9%, respectively. Figures 3 and 4 represent the forest plot and pooled prevalence of sinusitis and otitis media. Forest plot of prevalent infections did not show any trend of prevalence over time [Figures 2, 3, and 4]. Gastrointestinal infection with a prevalence of 36.3% was the second most infectious complications in CVID patients. In contrast, osteomyelitis was the least reported infection among patients with CVID. Additionally, bacterial infections were more reported in CVID patients compared with viral, parasitic, or fungal infections (41.7% vs. 25.4%, 18.8%, or 3.4%, respectively). Detailed information regarding the prevalence of infections are depicted in Table 2.
Figure 2

Forest plot and pooled prevalence of pneumonia.

Figure 3

Forest plot and pooled prevalence of otitis media.

Figure 4

Forest plot and pooled prevalence of sinusitis.

Table 2

Pooled prevalence of various infections among the common variable immunodeficiency patients.

InfectionsFrequency of studySum of sample size, sum of positive casePrevalence range%Pooled prevalence(95% CI)I2%
Pneumonia583937, 229419.1–10067.7 (61.5–74.0)94.8
URTI201477, 97812.0–10059.0 (45.5–72.4)98.1
Sinusitis441339, 21876.3–10057.6 (50.1–65.2)93.7
Otitis media321471, 62810.0–10046.5 (38.3–54.8)91.0
Bacterial infection19950, 2745.3–10041.7 (18.8–64.6)99.4
Tonsillitis4507, 495.0–10038.9 (20.3–98.1)99.5
Gastrointestinal infection261635, 4090–87.536.3 (26.5–46.2)97.2
Viral infection261837, 4721.6–10025.4 (13.0–37.7)98.9
Parasitic infection221344, 1631.9–87.018.8 (13.5–24.0)91.9
Pharyngitis4598, 1017.2–32.018.8 (9.6–28.1)81.2
Skin infection17938, 1782.5–36.417.1 (11.9 - 22.4)71.8
Abscess111084, 911.6–10016.9 (10.4–23.3)94.4
Conjunctivitis13975, 1549.1–36.016.9 (12.1–21.7)64.7
CNS infection253141, 1921.3–10011.2 (7.3–15.1)96.1
Sepsis141632, 1281.2–22.27.3 (4.4–10.3)83.0
Candidiasis121367, 1250.8–42.97.0 (5.8 –13.9)90.3
Hepatitis C141870, 1081.2–34.95.7 (3.4–8.0)72.8
Septic arthritis9908, 440.8–24.05.0 (2.3–7.7)75.7
Fungal infection111458, 511.1–46.93.4 (1.4–5.5)75.1
Osteomyelitis7900, 220.8–12.01.9 (0.1–3.6)62.2

URTI: upper respiratory tract infection; CNS: central nervous system; CI: confidence intarval; I2: I-square.

Forest plot and pooled prevalence of pneumonia. Forest plot and pooled prevalence of otitis media. Forest plot and pooled prevalence of sinusitis. URTI: upper respiratory tract infection; CNS: central nervous system; CI: confidence intarval; I2: I-square. Based on meta-regression analyses, there were several significant immunological characteristics that explain the following types of infections prevalence. By increasing the diagnosis age by one year, there was a decrease in the prevalence of the said diseases, pneumonia by 1.2%, sinusitis by 2.5%, gastrointestinal infections by 1.6%, and infectious arthritis by 0.9% (p = 0.009, p = 0.006, p = 0.016, and p = 0.018, respectively). Moreover, per 100 mg/dL increase in IgM serum level, the prevalence of hepatitis C and gastrointestinal infections showed a decrease of 6.6% (p = 0.006) and 1.2% (p = 0.090), respectively. Also, per 100 mg/dL increase in IgG serum level, there was a decrease in prevalence of infectious arthritis by 4.4% (p = 0.037), and per 100 cell/mL increase in CD3+ T cells, the prevalence of viral infections showed a decrease of 2.7% (p = 0.016). In order to obtain more insight into the infectious characteristics of CVID patients, we compared demographic and corresponding immunologic data of CVID patients with and without infections in 24 completely defined studies. These studies comprised a total of 404 patients with CVID, of which 264 patients had a history of at least one known infection. CVID patients with infections showed significantly lower percentage of CD3+ T cells compared to CVID patients without infections (478.0 (748.7) vs. 979.0 (678.1), p = 0.013). Also, the median (IQR) age at diagnosis for CVID patients with infection was 10.0 (13.9) years and was significantly lower than that of CVID patients without infection (p = 0.003). Moreover, the median (IQR) age at onset of symptoms, and IgA and IgM levels in CVID patients having infections were lower than that of patients without infection even though it was not statistically significant. CVID patients with a history of infection had lower percentages of CD4+ and CD8+ T cells compared to CVID patients without infections, although this was not statistically significant. In contrast, higher percentages of CD19+ lymphocytes (283.0 (294.0) vs. 146.0 (174.6), p = 0.027) were found in CVID patients with a history of infections compared to patients without this history. The detailed compared parameters are shown in Table 3.
Table 3

Demographic and corresponding immunologic data of CVID patients with and without infection.

ParametersTotal(n = 404)Patients with infection (n = 264)Patients without infection (n = 140)p-value
Sex ratio (M/F), n = 291155/136123/10832/280.990
Consanguinity (Yes/No), n = 3018/1216/112/11.000
Age at onset, years median (IQR), n = 4920.0 (20.0)14.0 (21.0)24.0 (18.2)0.296
Age at diagnosis, years median (IQR), n = 9612.0 (27.0)10.0 (13.9)28.0 (24.0)0.003**
Diagnostic delay, years median (IQR), n = 304.0 (8.8)2.1 (5.3)4.0 (8.7)0.343
IgG mg/dL, median (IQR), n = 193276.0 (285.5)272.5 (250.2)280.0 (326.0)0.406
IgA mg/dL, median (IQR), n = 1499.0 (24.5)6.0 (19.4)10.0 (32.2)0.129
IgM mg/dL, median (IQR), n = 14910.0 (26.0)17.0 (35.0)10.0 (23.7)0.051*
CD3+ lymphocytes, cell/mL, n = 40947.5 (832.7)478.0 (748.7)979.0 (678.1)0.013**
CD4+ T cells, cell/mL, n = 38550.0 (274.5)429.0 (NA)550.0 (271.0)0.626
CD8+ T cells, cell/mL, n = 38572.5 (482.7)375.0 (NA)580.0 (428.0)0.570
CD19+ lymphocytes, cell/mL, n = 65232.0 (237.1)283.0 (294.0)146.0 (174.6)0.027**
Lymphocyte, cell/mL, n = 291700.0 (963.0)1700.0 (2912.0)1722.0 (808.0)0.981

CVID: common variable immunodeficiency; M: male; F: female; IQR: interquartile range; Ig: immunoglobulin.

Note: For age, age at onset, age at diagnosis, delay in diagnosis, the median is shown [with 25th and 75th percentiles]. Mann-Whitney U test for a numerical variable and the chi-square test or Fisher’s exact test for the nominal variable was used.
*p-value is statistically significant < 0.050.

CVID: common variable immunodeficiency; M: male; F: female; IQR: interquartile range; Ig: immunoglobulin. Note: For age, age at onset, age at diagnosis, delay in diagnosis, the median is shown [with 25th and 75th percentiles]. Mann-Whitney U test for a numerical variable and the chi-square test or Fisher’s exact test for the nominal variable was used.
*p-value is statistically significant < 0.050.

Discussion

Infections are the main characteristic findings and leading cause of morbidity and mortality in CVID patients. Although, over the past years early diagnosis and therapeutic strategies of CVID have been improved, yet there are accumulating results from epidemiological studies proving a high burden of infectious complications in these patients leading to a high incidence of deaths. Several studies have reported various prevalence rates of different infections; however, almost all of them are quite univocal to the fact that upper and/or lower respiratory infections are the most prevalent infectious complication among these patients. The highest and the lowest prevalence of upper respiratory infections were reported by Martínez García et al,[16] and Pandolfi et al,[17] at 100% and Çalişkaner et al,[18] at 12.0%, respectively. However, the results of meta-analysis showed that the pooled prevalence of URTIs was 59.0%. Pneumonia is estimated to be the leading cause of lower respiratory infection, morbidity, and mortality globally in CVID patients.[84] There is a high prevalence of pneumonia among patients with CVID reported by large cohort studies conducted by Hansel et al,[19] Mokhtari et al,[20] and Cunningham-Rundles et al,[6] with frequencies of 90.1%, 82.3%, and 76.6%, respectively. In this study, pneumonia was assessed and reported in 58 studies, and based on the results of the random effect method, the pooled prevalence of pneumonia in total CVID patients was 67.7%. Therefore, we can conclude that pneumonia is one of the main complications of these patients and, in cases of mismanagement, could cause significant and everlasting further morbidities such as bronchiectasis, which is commonly reported in CVID patients. We found that the cumulative infections attributable to bacterial etiologies were more frequent in CVID compared to viral or fungal infections (41.7% vs. 25.4% and 3.4%, respectively). Similarly, other studies reported a higher incidence of bacterial infections among CVID patients.[3,5,13] The higher prevalence of bacterial pathogens causing infections in these patients can be interpreted as a result of impairment in antibody production by plasma cells. In contrast, cellular immunity is the effective defense mechanism against viral and fungal infections (it is already shown in the inverse correlation between the T lymphocyte count and the viral infections), hence infections caused by viral and fungal pathogens have lower prevalence as cellular immunity is less affected in patients with CVID. CVID patients with infection had a significantly lower age at diagnosis compared to CVID patients without infection. It could be because the presentation of infection is one of the main characteristic features of the disease that could lead to earlier diagnosis for CVID. Unlike patients presenting with other manifestations of the disease, such as autoimmunity, allergy, and cancers, which are diagnosed in later stages of life. There was a lower percentage of CD3+ in CVID patients with infection compared to the group of CVID patients without infection. T cells, as well as B cells defect, are associated with more severe disease and higher infection rates in these patients. Higher percentages of CD19+ lymphocytes in patients with a history of infections might indicate that the primary defect is likely related to impairments of terminal stages of B cell differentiation.[85,86] Higher and/or normal numbers of CD19+ does not necessarily indicate a better immune response. The impaired antibody production despite normal B cell counts in a study conducted by Ahn and Cunningham-Rundles.[85] Also suggests a defect in the differentiation of B cells into plasma and memory cells in many CVID patients. Several studies have pointed out the decreased level of class switch memory B cells (CD19+/CD27+/IgD-/IgM-), IgM memory B cells (CD19+/CD27+), and plasma cells in patients with CVID disease.[87-89] Furthermore, Unger et al,[90] reported that a subgroup of CVID patients manifests with the expansion of a special subset of B cells known as CD21low B cells, and it has been demonstrated that its expansion is linked with immune dysregulation in CVID patients. A broad spectrum of T-cell abnormalities, including total numbers, percentages, surface markers, and function of various T-cell subpopulations have been reported in CVID patients. It has been shown a reduction of the total, naïve and memory CD4+ T cells, recent thymic emigrants, and an increase in activated CD4+ T cells. Some studies have demonstrated that CVID patients with a profound decrease in CD4+ T-cell counts are more susceptible to develop autoimmunity and lymphoproliferative diseases, indicating that there is a strong correlation between the frequency of naïve T cells and clinical manifestations.[91,92] Similar to CD4+ T cells, a decline in the frequency of CD8+ T-cell subsets has been demonstrated. Naïve and effector memory CD8+T-cell numbers are reduced whereas higher percentages of activated CD8+ T cells have been reported.[61,93,94]
  94 in total

1.  Clinical and immunological analysis of 23 adult patients with common variable immunodeficiency.

Authors:  O Ardeniz; O K Başoğlu; F Günşar; M Unsel; S Bayraktaroğlu; N Mete; O Gülbahar; A Sin
Journal:  J Investig Allergol Clin Immunol       Date:  2010       Impact factor: 4.333

Review 2.  Abnormality of regulatory T cells in common variable immunodeficiency.

Authors:  Gholamreza Azizi; Nasim Hafezi; Hamed Mohammadi; Reza Yazdani; Tina Alinia; Marzieh Tavakol; Asghar Aghamohammadi; Abbas Mirshafiey
Journal:  Cell Immunol       Date:  2016-12-29       Impact factor: 4.868

3.  GB virus C infection in patients with primary antibody deficiency.

Authors:  A Morris; A D Webster; D Brown; T J Harrison; G Dusheiko
Journal:  J Infect Dis       Date:  1998-06       Impact factor: 5.226

4.  Abnormalities of lymphocyte subpopulations in CVI do not correlate with increased production of IL-6.

Authors:  F Pandolfi; R Paganelli; A Cafaro; A Oliva; A Giovannetti; E Scala; I Quinti; F Aiuti
Journal:  Immunodeficiency       Date:  1993

5.  Memory switched B cell percentage and not serum immunoglobulin concentration is associated with clinical complications in children and adults with specific antibody deficiency and common variable immunodeficiency.

Authors:  Hana Alachkar; Nadine Taubenheim; Mansel R Haeney; Anne Durandy; Peter D Arkwright
Journal:  Clin Immunol       Date:  2006-06-16       Impact factor: 3.969

6.  Skin manifestations in primary immunodeficient children.

Authors:  Waleed Al-Herz; Arti Nanda
Journal:  Pediatr Dermatol       Date:  2011-03-31       Impact factor: 1.588

7.  Pediatric patients with common variable immunodeficiency: long-term follow-up.

Authors:  P Mohammadinejad; A Aghamohammadi; H Abolhassani; M S Sadaghiani; S Abdollahzade; B Sadeghi; H Soheili; M Tavassoli; S M Fathi; M Tavakol; N Behniafard; B Darabi; S Pourhamdi; N Rezaei
Journal:  J Investig Allergol Clin Immunol       Date:  2012       Impact factor: 4.333

8.  Clinical picture and treatment of 2212 patients with common variable immunodeficiency.

Authors:  Benjamin Gathmann; Nizar Mahlaoui; Laurence Gérard; Eric Oksenhendler; Klaus Warnatz; Ilka Schulze; Gerhard Kindle; Taco W Kuijpers; Rachel T van Beem; David Guzman; Sarita Workman; Pere Soler-Palacín; Javier De Gracia; Torsten Witte; Reinhold E Schmidt; Jiri Litzman; Eva Hlavackova; Vojtech Thon; Michael Borte; Stephan Borte; Dinakantha Kumararatne; Conleth Feighery; Hilary Longhurst; Matthew Helbert; Anna Szaflarska; Anna Sediva; Bernd H Belohradsky; Alison Jones; Ulrich Baumann; Isabelle Meyts; Necil Kutukculer; Per Wågström; Nermeen Mouftah Galal; Joachim Roesler; Evangelia Farmaki; Natalia Zinovieva; Peter Ciznar; Efimia Papadopoulou-Alataki; Kirsten Bienemann; Sirje Velbri; Zoya Panahloo; Bodo Grimbacher
Journal:  J Allergy Clin Immunol       Date:  2014-02-28       Impact factor: 10.793

9.  Important Factors Influencing Severity of Common Variable Immunodeficiency.

Authors:  Mahisa Mokhtari; Alireza Shakeri; Babak Mirminachi; Hassan Abolhassani; Reza Yazdani; Bodo Grimbacher; Asghar Aghamohammadi
Journal:  Arch Iran Med       Date:  2016-08       Impact factor: 1.354

10.  Assessment of thymic output in common variable immunodeficiency patients by evaluation of T cell receptor excision circles.

Authors:  V Guazzi; F Aiuti; I Mezzaroma; F Mazzetta; G Andolfi; A Mortellaro; M Pierdominici; R Fantini; M Marziali; A Aiuti
Journal:  Clin Exp Immunol       Date:  2002-08       Impact factor: 4.330

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Review 1.  The pediatric common variable immunodeficiency - from genetics to therapy: a review.

Authors:  Aleksandra Szczawinska-Poplonyk; Eyal Schwartzmann; Ewelina Bukowska-Olech; Michal Biernat; Stanislaw Gattner; Tomasz Korobacz; Filip Nowicki; Monika Wiczuk-Wiczewska
Journal:  Eur J Pediatr       Date:  2021-12-23       Impact factor: 3.860

2.  Case Report: Pneumonia in a Patient With Combined Variable Immunodeficiency: COVID-19 or Pneumocystis Pneumonia?

Authors:  Shabnam Tehrani; Shadi Ziaie; Alireza Kashefizadeh; Mahta Fadaei; Hanieh Najafiarab; Amirreza Keyvanfar
Journal:  Front Med (Lausanne)       Date:  2022-02-23
  2 in total

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