Surveillance of antimicrobial resistance of Streptococcus pneumoniae and Haemophilus influenzae in children with pneumonia

In order to identify optimal therapy for children with bacterial pneumonia, Pakistan's ARI Program, in collaboration with the National Institute of Health (NIH), Islamabad, undertook a national surveillance of antimicrobial resistance in S. pneumoniae and H. influenzae. The project was carried out at selected urban and peripheral sites in 6 different regions of Pakistan, in 1991–92. Nasopharyngeal (NP) specimens and blood cultures were obtained from children with pneumonia diagnosed in the outpatient clinic of participating facilities. Organisms were isolated by local hospital laboratories and sent to NIH for confirmation, serotyping and antimicrobial susceptibility testing. Following were the aims of the study (i) to determine the antimicrobial resistance patterns of S. pneumoniae and H. influenzae in children aged 2–59 months; (ii) to determine the ability of selected laboratories to identify and effectively transport isolates of S. pneumoniae and H. influenzae cultured from nasopharyngeal and blood specimens; (iii) to validate the comparability of resistance patterns for nasopharyngeal and blood isolates of S. pneumoniae and H. influenzae from children with pneumonia; and (iv) to examine the effect of drug resistance and laboratory error on the cost of effectively treating children with ARI. ^ A total of 1293 children with ARI were included in the study: 969 (75%) from urban areas and 324 (25%) from rural parts of the country. Of 1293, there were 786 (61%) male and 507 (39%) female children. The resistance rate of S. pneumoniae to various antibiotics among the urban children with ARI was: TMP/SMX (62%); chloramphenicol (23%); penicillin (5%); tetracycline (16%); and ampicillin/amoxicillin (0%). The rates of resistance of H. influenzae were higher than S. pneumoniae: TMP/SMX (85%); chloramphenicol (62%); penicillin (59%); ampicillin/amoxicillin (46%); and tetracycline (100%). There were similar rates of resistance to each antimicrobial agent among isolates from the rural children. ^ Of a total 614 specimens that were tested for antimicrobial susceptibility, 432 (70.4%) were resistant to TMP/SMX and 93 (15.2%) were resistant to antimicrobial agents other than TMP/SMX viz. ampicillin/amoxicillin, chloramphenicol, penicillin, and tetracycline. ^ The sensitivity and positive predictive value of peripheral laboratories for H. influenzae were 99% and 65%, respectively. Similarly, the sensitivity and positive predictive value of peripheral laboratory tests compared to gold standard i.e. NIH laboratory, for S. pneumoniae were 99% and 54%, respectively. ^ The sensitivity and positive predictive value of nasopharyngeal specimens compared to blood cultures (gold standard), isolated by the peripheral laboratories, for H. influenzae were 88% and 11%, and for S. pneumoniae 92% and 39%, respectively. (Abstract shortened by UMI.)^

The characterization of residential fungal spores and the relationship with housing characteristics in the Houston area

A number of indoor environmental factors, including bioaerosol or aeroallergen concentrations have been identified as exacerbators for asthma and allergenic conditions of the respiratory system. People generally spend 90% to 95% of their time indoors. Therefore, understanding the environmental factors that affect the presence of aeroallergens indoors as well as outdoors is important in determining their health impact, and in identifying potential intervention methods. This study aimed to assess the relationship between indoor airborne fungal spore concentrations and indoor surface mold levels, indoor versus outdoor airborne fungal spore concentrations and the effect of previous as well as current water intrusion. Also, the association between airborne concentration of indoor fungal spores and surface mold levels and the age of the housing structure were examined. Further, the correlation between indoor concentrations of certain species was determined as well. ^ Air and surface fungal measurements and related information were obtained from a Houston-area data set compiled from visits to homes filing insurance claims. During the sampling visit these complaint homes exhibited either visible mold or a combination of visible mold and water intrusion problems. These data were examined to assess the relationships between the independent and dependent variables using simple linear regression analysis, and independent t-tests. To examine the correlation between indoor concentrations of certain species, Spearman correlation coefficients were used. ^ There were 126 houses sampled, with spring, n=43 (34.1%), and winter, n=42 (33.3%), representing the seasons with the most samples. The summer sample illustrated the highest geometric mean concentration of fungal spores, GM=5,816.5 relative to winter, fall and spring (GM=1,743.4, GM=3,683.5 and GM=2,507.4, respectively). In all seasons, greater concentrations of fungal spores were observed during the cloudy weather conditions. ^ The results indicated no statistically significant association between outdoor total airborne fungal spore concentration and total living room airborne fungal spore concentration (β = 0.095, p = 0.491). Second, living room surface mold levels were not associated with living room airborne fungal spore concentration, (β= 0.011, p = 0.669). Third, houses with and without previous water intrusion did not differ significantly with respect to either living room (t(111) = 0.710, p = 0.528) or bedroom (t(111) =1.673, p = 0.162) airborne fungal spore concentrations. Likewise houses with and without current water intrusion did not differ significantly with respect to living room (t(109)=0.716, p = 0.476) or bedroom (t(109) = 1.035, p = 0.304) airborne fungal spore concentration. Fourth, houses with and without current water intrusion did not differ significantly with respect to living room (χ 2 (5) = 5.61, p = 0.346), or bedroom (χ 2 (5) = 1.80, p = 0.875) surface mold levels. Fifth, the age of the house structure did not predict living room (β = 0.023, p = 0.102) and bedroom (β = 0.023, p = 0.065) surface mold levels nor living room (β = 0.002, p = 0.131) and bedroom (β = 0.001, p = 0.650) fungal spore airborne concentration. Sixth, in houses with visually observed mold growth there was statistically significant differences between the mean living room concentrations and mean outdoor concentrations for Cladosporium (t (107) = 11.73, p < 0.0001), Stachybotrys (t (106)=2.288, p = 0.024, and Nigrosporia (t (102) = 2.267, p = 0.025). Finally, there was a significant correlation between several living room fungal species pairs, namely, Cladosporium and Stachybotrys (r = 0.373, p <0.01, n=65), Curvularia and Aspergillus/Penicillium (r = 0.205, p < 0.05, n= 111)), Curvularia and Stachybotrys (r = 0.205, p < 0.05, n=111), Nigrospora and Chaetomium (r = 0.254, p < 0.01, n=105) and Stachybotrys and Nigrospora (r = 0.269, p < 0.01, n=105). ^ This study has demonstrated several positive findings, i.e., significant pairwise correlations of concentrations of several fungal species in living room air, and significant differences between indoor and outdoor concentrations of three fungal species in homes with visible mold. No association was observed between indoor and outdoor fungal spore concentrations. Neither living room nor bedroom airborne spore concentrations and surface mold levels were related to the age of the house or to water intrusion, either previous or current. Therefore, these findings suggest the need for evaluating additional parameters, as well as combinations of factors such as humidity, temperature, age of structure, ventilation, and room size to better understand the determinants of airborne fungal spore concentrations and surface mold levels in homes. ^