BackgroundThe introduction of highly active antiretroviral therapy (HAART) and antibiotic regimens for the treatment of human immunodeficiency virus (HIV) and its concomitant opportunistic ...infections, respectively, significantly improve the morbidity and mortality of the infected patients. However, these drugs commonly cause drug hypersensitivity reactions (DHRs) in patients with acquired immunodeficiency syndrome. The reason proposed are multifactorial, which includes immune hyperactivation, changes in drug metabolism, patient cytokine profiles, oxidative stress, genetic predisposition, and the principal target in HIV patients, the CD4+ lymphocytes. ObjectiveThis study determined the association of CD4 count and DHRs to first-line HAART, trimethoprim sulfamethoxazole, and antitubercular agents among HIV patients. MethodsThis is a retrospective analytical study. Review of charts were done. The demographic and clinical profile used a descriptive statistics such as mean and standard deviation for quantitative data and frequency and percent for categorical data. Chi-square and Fisher exact tests were used to measure the degree of the relationship of CD4 count and DHRs. ResultsA total of 337 eligible patients were included. There was a 25% incidence of hypersensitivity reactions. However, the prevalence of DHRs across the different CD4 groups was not statistically significant (p = 0.167). Likewise, the study found no significant association between the CD4 count and DHRs to first-line HAART, trimethoprim sulfamethoxazole, and antitubercular agents (p = 0.311). The most common DHR was morbilliform rash, and nevirapine was the most reported antiretroviral drug causing DHR. ConclusionThere was no association in the CD4 count and DHRs to first-line HAART, trimethoprim sulfamethoxazole, and antitubercular agents. Hence, regardless of the baseline CD4 lymphocyte count, the physician should be vigilant in monitoring hypersensitivity reactions. Patient education on common DHRs is very important upon diagnosis of HIV and/or initiation of treatment.
Severe combined immunodeficiency (SCID) is fatal unless treated with hematopoietic stem cell transplant. Delay in diagnosis is common without newborn screening. Family history of infant death due to ...infection or known SCID (FH) has been associated with earlier diagnosis.
The aim of this study was to identify the clinical features that affect age at diagnosis (AD) and time to the diagnosis of SCID.
From 2005 to 2016, 147 SCID patients were referred to the Asian Primary Immunodeficiency Network. Patients with genetic diagnosis, age at presentation (AP), and AD were selected for study.
A total of 88 different SCID gene mutations were identified in 94 patients, including 49
mutations, 12
mutations, 8
mutations, 7
mutations, 4
mutations, 4
mutations, 2
mutations, and 2
mutations. A total of 29 mutations were previously unreported. Eighty-three of the 94 patients fulfilled the selection criteria. Their median AD was 4 months, and the time to diagnosis was 2 months. The commonest SCID was X-linked (
= 57). A total of 29 patients had a positive FH. Candidiasis (
= 27) and bacillus Calmette-Guérin (BCG) vaccine infection (
= 19) were the commonest infections. The median age for candidiasis and BCG infection documented were 3 months and 4 months, respectively. The median absolute lymphocyte count (ALC) was 1.05 × 10
/L with over 88% patients below 3 × 10
/L. Positive FH was associated with earlier AP by 1 month (
= 0.002) and diagnosis by 2 months (
= 0.008), but not shorter time to diagnosis (
= 0.494). Candidiasis was associated with later AD by 2 months (
= 0.008) and longer time to diagnosis by 0.55 months (
= 0.003). BCG infections were not associated with age or time to diagnosis.
FH was useful to aid earlier diagnosis but was overlooked by clinicians and not by parents. Similarly, typical clinical features of SCID were not recognized by clinicians to shorten the time to diagnosis. We suggest that lymphocyte subset should be performed for any infant with one or more of the following four clinical features: FH, candidiasis, BCG infections, and ALC below 3 × 10
/L.
In this study, we determined the presence of virulence factors in nonoutbreak, high-risk clones and other isolates belonging to less common sequence types associated with the spread of ...OXA-48-producing Klebsiella pneumoniae clinical isolates from The Netherlands (
= 61) and Spain (
= 53). Most isolates shared a chromosomally encoded core of virulence factors, including the enterobactin gene cluster, fimbrial
and
gene clusters, and urea metabolism genes (
). We observed a high diversity of K-Locus and K/O loci combinations, KL17 and KL24 (both 16%), and the O1/O2v1 locus (51%) being the most prevalent in our study. The most prevalent accessory virulence factor was the yersiniabactin gene cluster (66.7%). We found seven yersiniabactin lineages-
9,
10,
13,
14,
16,
17, and
27-which were chromosomally embedded in seven integrative conjugative elements (ICE
): ICE
, ICE
, ICE
, ICE
, ICE
, ICE
, and ICE
, respectively. Multidrug-resistant lineages-ST11, ST101, and ST405-were associated with
10/ICE
,
9/ICE
, and
27/ICE
, respectively. The fimbrial adhesin
operon (
) was predominant among ST14, ST15, and ST405 isolates, as well as the ferric uptake system
, which was also predominant among ST101 isolates. No convergence of hypervirulence and resistance was observed in this collection of OXA-48-producing K. pneumoniae clinical isolates. Nevertheless, two isolates, ST133 and ST792, were positive for the genotoxin colibactin gene cluster (ICE
). In this study, the integrative conjugative element, ICE
, was the major vehicle for yersiniabactin and colibactin gene clusters spreading.
Convergence of multidrug resistance and hypervirulence in Klebsiella pneumoniae isolates has been reported mostly related to sporadic cases or small outbreaks. Nevertheless, little is known about the real prevalence of carbapenem-resistant hypervirulent K. pneumoniae since these two phenomena are often separately studied. In this study, we gathered information on the virulent content of nonoutbreak, high-risk clones (i.e., ST11, ST15, and ST405) and other less common STs associated with the spread of OXA-48-producing K. pneumoniae clinical isolates. The study of virulence content in nonoutbreak isolates can help us to expand information on the genomic landscape of virulence factors in K. pneumoniae population by identifying virulence markers and their mechanisms of spread. Surveillance should focus not only on antimicrobial resistance but also on virulence characteristics to avoid the spread of multidrug and (hyper)virulent K. pneumoniae that may cause untreatable and more severe infections.
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