Literature DB >> 32516308

Pathogenic spectrum of blood stream infections and resistance pattern in Gram-negative bacteria from Aljouf region of Saudi Arabia.

Altaf Bandy1, Abdulrahman Hamdan Almaeen2.   

Abstract

BACKGROUND: The pathogenic spectrum of bloodstream infections (BSIs) varies across regions. Monitoring the pathogenic profile and antimicrobial resistance is a prerequisite for effective therapy, infection control and for strategies aimed to counter antimicrobial resistance. The pathogenic spectrum of BSIs in blood cultures was analysed, focusing on the resistance patterns of Acinetobacter baumannii, Escherichia coli, and Klebsiella pneumoniae, in Aljouf region.
METHODS: This descriptive cross-sectional study analysed the culture reports of all non-duplicate blood samples collected from January 1 to December 31, 2019. Antibiograms of A. baumannii, E. coli, and K. pneumoniae were analysed for antibiotic resistance. The frequency and percentages of multi-drug, extensively-drug, pan-drug and carbapenem resistance were calculated.
RESULTS: Of the 222 bloodstream infections, 62.2% and 36.4% were caused by gram-negative and gram-positive bacteria, respectively. Most BSIs occurred in patients aged ≥60 years (59.5%). Among the 103 isolates of the studied Gram-negative bacteria (GNB), 47.6%, 38.8%, and 2.9% were multi-drug, extensively drug and pan-drug resistant respectively. 46% of K. pneumoniae isolates were carbapenemase producers. Resistance to gentamycin, 1st-4th generation cephalosporins, and carbapenems was observed for A. baumannii. More than 70% of E. coli isolates were resistant to 3rd- and 4th-generation cephalosporins. Klebsiella pneumoniae presented a resistance rate of >60% to imipenems.
CONCLUSIONS: Gram-negative bacteria dominate BSIs, with carbapenem-resistant K. pneumoniae most frequently detected in this region. Resistant GNB infections make it challenging to treat geriatric patients. Regional variations in antimicrobial resistance should be continually monitored.

Entities:  

Year:  2020        PMID: 32516308      PMCID: PMC7282660          DOI: 10.1371/journal.pone.0233704

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Bloodstream infections (BSIs) with resistant microorganisms are associated with a higher risk of mortality of hospitalized patients [1]. Worldwide, the rate of infection with BSIs is increasing, and BSIs are among the top seven causes of mortality in Europe and the 11th leading cause of death in the USA [2]. The risk of BSI increases with age [3], and thus these infections will become more prevalent as the geriatric population increases worldwide. The length of hospital stay is increased in patients with multidrug-resistant (MDR) infections, resulting in an increased risk of mortality and other infections, resulting in high health expenditures [4]. Previous reports have suggested that in the USA or Europe alone, one patient dies every 10 min because of resistant bacterial infections [5]. The pathogenic spectrum and pattern of antimicrobial resistance of BSIs differ across the affected regions owing to the differences in epidemiological and geographic features across regions [6, 7]. Escherichia coli and Staphylococcus aureus are the most common BSI pathogens according to Korean surveillance data from 2016–2017 [8]. Similar findings were reported by the European Antimicrobial Resistance Surveillance Network data from 2002 to 2009 [9]. However, non-typhoidal salmonella, Salmonella typhi, and Streptococcus pneumoniae are frequent causes of BSIs in Malawi [10]. Infections with resistant gram-negative bacteria are considered as a severe threat to patients’ health worldwide. The resistance of Enterobacteriaceae to 3rd-generation cephalosporins and carbapenems makes these organisms a critical priority requiring urgent attention [11]. The clinical outcome of patients having BSIs caused by carbapenem resistant Escherichia coli and Klebsiella pneumoniae is poor with a mortality as high as 50%. [12]. A recent study from the Aseer region reported an MDR rate as high as 69% for Acinetobacter baumannii, with only 0.05% and 0.04% of these bacteria susceptible to imipenem and meropenem, respectively [13]. Antimicrobial administration and misuse has been linked to the emergence of MDR microorganisms in Saudi Arabia. In 2010, a hospital-based study in Saudi Arabia revealed antimicrobial overuse in intensive care units ranging from 33.2 defined daily doses (DDD) per 100 bed-days for meropenem to 16.0 DDD for piperacillin-tazobactam, compared to 3.75 DDD/100 bed-days for carbapenems and 7.08 for antipseudomonal penicillins [12]. The other reported driver of antimicrobial misuse is over-the-counter sales of antimicrobials by community pharmacies in Saudi Arabia [12]. Information about different types of microorganisms and their resistance will guide physicians, infection control activity, and policy makers in various countries and regions in making evidence-based decisions to overcome antimicrobial resistance [14, 15]. The lack of published literature on BSIs in Saudi Arabia was highlighted in a recent review [16]. Most recent articles of BSIs in Saudi Arabia focused on device- and central line-associated bloodstream infections [17, 18]. Based on this information and the lack of published literature on BSIs from this region, the current, cross-sectional study analysed the antibiograms for the year 2019 from a referral hospital to determine the overall pathogenic spectrum of BSIs, focusing on the antimicrobial resistance of A. baumannii, E. coli, and K. pneumoniae. This information can guide antimicrobial stewardship programs and infection control activities in hospitals.

Materials and methods

The Aljouf region is in the north of Saudi Arabia and comprises the three governorates of Sakaka, Qurayyat, and Dumat Al-Jandal. In the Qurayyat and Dumat Al-Jandal governorates, there are 260- and 130-bed general hospitals. The Sakaka governorate is the capital city of the Aljouf region with two specialist hospitals of 300 beds each. Both of these hospitals serve as referral hospitals for the Aljouf region. The total population of this region is 520,737 with 386,663 Saudi residents and 134,074 non-Saudi residents according to 2018 statistics. The study hospital has a dedicated microbiology unit equipped with an automated Vitek 2 system (bioMérieux, Marcy-lÉtoile, France), BD Phoenix system (BD Biosciences, Franklin Lakes, NJ, USA), MicroScan plus (Beckman Coulter, Brea, CA, USA), and BD BACTEC system (BD Biosciences) for the identification and antimicrobial sensitivity analysis of microorganisms. The BD Phoenix identification system was used for bacterial identification and susceptibility testing. This system is advantageous because it combines the steps of identification, antimicrobial testing, and florescence control. The antimicrobial susceptibility testing was performed and interpreted in accordance with the Clinical and Laboratory Standard Institute recommendations [19]. In this cross-sectional study, data from all non-duplicate blood samples that depicted the culture and sensitivity of A. baumannii, E. coli, and K. pneumoniae from January 1 to December 31, 2019 were analysed. This study included data from hospitalized patients only. Microorganisms were classified as multi drug-resistant (MDR), extensive drug-resistant (XDR), and pan drug-resistant (PDR) as defined in the guidelines of the European Centre for Disease Control [20]. To simplify the results, bacterial isolates showing intermediate-resistant isolates were classified as resistant strains. The phenotypic characterization of carbapenem, potential carbapenem, ESBL and AmpC β-lactamase-producers as provided by Phoenix system was recorded. Carbapenem and potential carbapenem producer were categorised as carbapenem producers. The demographic data on age and gender, hospitalization data like admitting unit and the date sample was received in the laboratory was extracted from the records.

Consent and research ethics

The research protocol was approved by the Local Committee of Bio Ethics at Jouf University (vide no: 03/04/41 dated January 6, 2020). In this study the culture and sensitivity reports of A. baumannii, E. coli, and K. pneumoniae of admitted patients were analyzed. As a standard practice at this hospital, a verbal consent is taken by the attending nurse in presence of the patients’ relative as witness and the same is filled in the laboratory request form. For patients’ admitted to intensive care units, the patients’ guardian approve or disapprove any procedure and is recorded in the patient files.

Statistical analysis

The data were analysed with SPSS version 20.0 for Windows (SPSS, Inc., Chicago, IL, USA). The frequencies and percentages MDR, XDR, PDR, ESBl-, AmpC β-lactamase- and carbapenem producers were calculated. Descriptive analysis of the sample distribution, age, gender, and antimicrobial data was performed, and the results are presented as frequencies and percentages.

Results

A total of 222 non-duplicate BSI samples from hospitalized patients were tested for culture and sensitivity during the study period, most (77.8%) of which were from male and female intensive care units. BSIs were detected in 134 (60.4%) male and 88 (39.6%) female patients. The largest (43.7%) number of samples was processed in the first quarter (January 1 to March 31, 2019) of the year. Gram-negative microorganisms were the most frequent (62.2%) BSI-causing pathogens. Klebsiella pneumoniae was the most frequent (28.4%) gram-negative pathogen; S. aureus contributed to 11.3% of gram-positive microorganisms and 1.35% of fungal species causing BSI. More than half (59.5%) of BSIs occurred in patients ≥60 years of age. Acinetobacter baumannii, E. coli, and K. pneumoniae were detected in 46.4% (103/222) of BSIs (Table 1).
Table 1

Pathogenic spectrum of BSIs and distribution of blood samples (n = 222).

CategoryNumber (n)Percentage (%)
Gram-negative bacteria n = 138 (62.1%)
K. pneumoniae6328.4
E. coli2310.4
A. baumannii177.6
P. aeruginosa83.6
S. marcescens83.6
E. aerogenes62.7
Others135.8
Gram-positive bacteria n = 81 (34.5%)
S. aureus2511.3
Streptococcus species2410.8
E. faecalis104.5
S. capitis62.7
Others167.2
Fungi n = 3 (1.4%)
Candida glabrata10.4
Candida species20.9
Quarter
Quarter-19743.7
Quarter-24419.7
Quarter-32913.0
Quarter-45223.3
Unit
Male & female ICUa16976.1
Male & female MWb4620.7
Male & female SWc62.7
Others10.4
Gender
Males13460.4
Females8839.6
Nationality
Saudi19889.2
Non-Saudi2410.8
Age
≥60 years13259.5
41–59 years4721.2
21–40 years2913.1
≤20 years146.3

aICU = Intensive care unit

bMW = Medical ward

cSW = Surgical ward

aICU = Intensive care unit bMW = Medical ward cSW = Surgical ward Among the 138 gram-negative bacteria identified, 103 (76.6%) isolates were positive for A. baumannii, E. coli, and K. pneumoniae. These organisms contributed to 42.7% of infections in the 1st quarter of the study period. Advanced age and being male were risk factors for BSI. Among the three microorganisms, K. pneumoniae was the most common (61.1%) gram-negative pathogen causing BSIs. Multi-drug resistance pattern was most frequent among the GNB causing BSIs (Table 2).
Table 2

Distribution of BSIs caused by A. baumannii, E. coli, and K. pneumoniae and their resistance pattern (n = 103).

CategoryNumber (n)Percentage (%)
Quarter
Quarter-14442.7
Quarter-22322.3
Quarter-31514.6
Quarter-42120.4
Gender
Males6058.3
Females4341.7
Nationality
Saudi9289.3
Non-Saudi1110.7
Unit
Male & female ICUa9289.3
Male & female MWb98.7
Male SWc21.9
Age
≥60 years6462.1
41–59 years2120.4
21–40 years1413.6
≤20 years43.9
Microorganisms
Klebsiella pneumoniae6361.2
Escherichia coli2322.3
Acinetobacter baumannii1716.5
Resistance pattern
MDR d4947.6
XDRe4038.8
PDRf32.9
Carbapenemase producers3029.1
ESBLproducersg2423.3
AmpC β-lactamase producer21.94

aICU = Intensive care unit

bMW = Medical ward

cSW = Surgical ward

dMDR = Multi-drug resistance

eXDR = Extended drug-resistance

fPDR = Pan drug-resistance

gESBL = Extended beta lactamase

aICU = Intensive care unit bMW = Medical ward cSW = Surgical ward dMDR = Multi-drug resistance eXDR = Extended drug-resistance fPDR = Pan drug-resistance gESBL = Extended beta lactamase Of the studied gram-negative bacteria identified during the study period, all isolates of A. baumannii and 36.5% K. pneumoniae isolates showed extended drug-resistance. 78.3% of E. coli, and 49.2% of K. pneumoniae presented with multi drug-resistance. Phenotypic classification showed 46% K. pneumoniae isolates as carbapenem producer and 52.2% of E. coli as ESBL producers. (Table 3).
Table 3

Resistance pattern and phenotypic classification in A. baumannii, E. coli, and K. pneumoniae (103).

CategoryNumber (n)Percentage (%)
A. baumannii (17)
XDR17100.0
E. coli (23)
MDR1878.3
Carbapenem producer14.3
Phenotypic classification
AmpC β-lactamase producer28.7
ESBL producersa1252.2
Carbapenemase producers14.3
K. pneumoniae (63)
MDRb3149.2
XDRc2336.5
PDRd34.8
Phenotypic classification
Carbapenemase producers2946.0
ESBL producers1219.0

a ESBL = Extended beta lactamase

bMDR = Multi-drug resistance

cXDR = Extended drug-resistance

dPDR = Pan drug-resistance

a ESBL = Extended beta lactamase bMDR = Multi-drug resistance cXDR = Extended drug-resistance dPDR = Pan drug-resistance Acinetobacter baumannii isolates showed resistance to gentamycin, 1st–4th-generation cephalosporins, and carbapenems. A 70.6% resistance rate to trimethoprim-sulfamethoxazole was observed; however, all isolates were sensitive to colistin. More than 90% of E. coli isolates showed resistance to 1st-generation cephalosporins, more than 75% to cefuroxime (2nd), and more than 70% to 3rd- and 4th-generation cephalosporins. However, 87% sensitivity to cefoxitin, a 2nd-generation cephalosporin, was observed. Resistance to fluoroquinolones was detected in more than 60% of isolates. The observed sensitivity of E. coli was >90% to carbapenems, 82% to piptazobactam, 95% to nitrofurantoin, and 95.7% to amikacin. In K. pneumoniae, the observed resistance rate was >90% to 1st -, >80% to 2nd-, 3rd-, and 4th-generation cephalosporins, respectively except cefoxitin a second generation where the observed resistance was > 60%. A >60% resistance rate was observed to imipenems and >65% to fluoroquinolones; however, a sensitivity rate of 77.4% to amikacin was observed. Escherichia coli and K. pneumoniae were found to be ESBL-producers. Aztreonam, an antibiotic with proven efficacy against ESBLs, showed a resistance rate of 73.9% for E. coli and 84.1% for K. pneumoniae. Fourteen out of seventeen (82.4%) isolates of K. pneumoniae tested exhibited sensitivity to colistin. A limited number of isolates of A. baumannii (3/17 isolates), E. coli (11/23 isolates) and K. pneumoniae (50 /63 isolates) were tested for tigecycline resistance (Table 4). It should be noted that the percentages shown in this table are based on the number of isolates tested against each antibiotic.
Table 4

Antibiotic resistance and susceptibility profiles of A. baumannii, E. coli, and K. pneumoniae (n = 103).

AntibioticClassificationName of the microorganism (n = 103)
A. baumannii (17)E. coli (23)K. pneumoniae (63)
n%n%n%
AmikacinResistant1694.114.21422.6
Sensitive15.92295.74877.4
GentamicinResistant17100.0521.72540.3
Sensitive001878.33759.7
ErtapenemResistant17100.014.33961.9
Sensitive002295.72438.1
ImipenemResistant17100.014.34165.1
Sensitive002295.72234.9
MeropenemResistant17100.0004063.5
Sensitive0023100.02336.5
CephalothinResistant17100.02191.35790.5
Sensitive00.028.769.5
CefuroximeResistant17100.01878.35587.3
Sensitive00.0513.0812.7
CefoxitinResistant17100313.04063.5
Sensitive00.02087.02336.5
CeftazidimeResistant17100.01773.95384.1
Sensitive00.0626.11015.9
CeftriaxoneResistant17100.01773.95485.3
Sensitive00.0626.1914.3
CefepimeResistant17100.01773.95080.6
Sensitive00.0626.11219.4
AztreonamResistant17100.01773.95384.1
Sensitive00.0626.11015.9
AmpicillinResistant17100.02295.763100.0
Sensitive00.014.300.0
Amoxicillin and Clavulanate potassiumResistant17100.01781.05386.9
Sensitive00.0419.0813.1
PiptazobactamResistant17100.0417.44368.3
Sensitive00.01982.62031.7
ColistinResistant00.000.0317.6
Sensitive17100.04100.01482.4
Trimethoprim-SulfamethoxazoleResistant1270.61669.64369.4
Sensitive529.4730.41930.6
NitrofurantoinResistant17100.014.55080.6
Sensitive00.02195.51219.4
CiprofloxacinResistant17100.01565.24369.4
Sensitive00.0834.81930.6
LevofloxacinResistant17100.01460.94166.1
Sensitive00939.12133.9
TigecyclineResistant3100.0001632.0
Sensitive0011100.03478.0

Discussion

The phenomenon of extended antimicrobial resistance of gram negative bacteria is challenging mankind and this phenomenon is observed in all parts of the world. The seriousness of the problem is highlighted in the World Health organizations ‘global priority list of antibiotic-resistant bacteria,’ document 2017, wherein gram negative organism figure in the critical priority category [11]. Our ability to treat such infections is limited by the currently available antimicrobials. The problem is further compounded by the lack of development of new antimicrobial agents. Information about the pattern of antimicrobial resistance will guide actions of local and regional bodies to counter antimicrobial resistance. BSIs with resistant bacteria is difficult to treat. Elderly age is an important risk for BSIs, the number of BSIs are bound to increase as the geriatric population of the world continues to grow. Pathogenic profile of blood stream infections and antimicrobial resistance among gram negative bacteria causing BSIs is not available from this region. The major finding of the study is that the gram-negative microorganisms dominate (62.2%) BSIs, with K. pneumoniae accounting for 28.4% of these infections. Gram-positive bacteria accounted for 34.5% of BSIs involving S. aureus in 11.3% of all BSIs. These results contradict those of a recent report on resistance trends in BSI from China (surveillance study 1998–2017), which identified E. coli and S. aureus as the most common BSI-causing pathogens [21] and a study conducted in Australia [22]. However, a previous study in Hubei Province of China reported E. coli, S. aureus, and K. pneumoniae as frequent BSI-causing pathogens. Reports from Malawi in Africa [10] revealed Salmonella typhi and S. pneumoniae as BSI-causing pathogens, whereas Pseudomonas aeruginosa and Staphylococcus species were more common in Iran [23]. Similarly, Japan has shown a varying pathogenic profile of BSIs, with E. coli, S. aureus, Streptococcus spp., and Klebsiella spp. as the common organisms [24]. These differing reports on BSI-causing pathogens explain the variations in different regions. Our results agree with a study performed in Saudi Arabia which showed that most general Enterobacteriaceae isolates were K. pneumoniae and E. coli [25]. In general, BSIs showed a rate of 6.3% in patients in the group of ≤ 20 years of age and 59.5% in those ≥60 years of age. Furthermore, males showed a higher risk (60.4%) of BSI compared to females (39.6%). In elderly population the immune system functions less efficiently, so the risk acquiring BSIs increases. In addition, elderly population frequently have comorbidities affecting immunity. This finding agrees with a previous study showing that being elderly and male are risk factors for acquiring BS1 [3, 26]. The number of BSIs is likely to increase in Saudi Arabia given that the population aged >60 years is expected to increase by 18.5% by 2035, [27] making treatment challenging in the absence of new therapeutic options. Of the 103 gram-negative isolates, 24 were ESBL-producers showing an overall prevalence of 23.3%. Twelve of 23 E. coli isolates were classified as ESBL-producers and 12 of 63 isolates of K. pneumoniae were ESBL-producers. Klebsiella pneumoniae and E. coli have also been reported as major ESBL-producers in hospital settings both within and outside of Saudi Arabia [28-31]. The prevalence of ESBL-producers in the current study is lower than those determined in studies performed in various regions in Saudi Arabia, which showed proportions of 27–70% [28, 32, 33], but higher than that in the Netherlands with a rate of 5% [34]. The main reason for low prevalence in this Dutch study was in the sample characteristics. All the patients in this study were from day care wards and patients on dialysis with an inpatient stay of few days. In our study 76% samples were from intensive care units that might explain the higher prevalence observed in our study. Additionally, two isolates (1.94%) of AmpC β-lactamase-producers were found among gram-negative BSIs. This number is lower than that determined in a recent study conducted in Bisha province in Saudi Arabia which showed rates of above 30% [32] but similar to an earlier study in Saudi Arabia showing a rate of 1% [35]. These organisms should be under constant surveillance, as they have the potential to cause outbreaks in hospital settings. Antibiogram analysis revealed that more than 90% of E. coli isolates showed resistance to 1st generation, more than 75% to cefuroxime and 70% to 2nd–4th generation of cephalosporins. Resistance to fluoroquinolones remains high. The observed sensitivity of E. coli to carbapenems was >90%, 82% to piptazobactam, 95% to nitrofurantoin, and 95.7% to amikacin. Similar findings have been observed across Saudi Arabia [32, 36] and China [21]. Study also observed 87% sensitivity to cefoxitin a 2nd-generation cephalosporin, consistent with other reports [21, 36] that have showed a susceptibility rate of >80%. Carbapenem-resistant (CR) K. pneumoniae is consistently reported in Saudi Arabia and neighbouring Gulf Cooperation Council countries [37-40]. Early identification is critical for limiting the spread of CR K. pneumoniae in hospital settings [41]. Overall, 29.1% (30/103) of the studied gram-negative bacteria were CR, with 29 isolates of K. pneumoniae and one isolate of E. coli showing CR. All 30 isolates were recovered from the intensive care unit (ICU), and 27 cases were in the age group of ≥41 years. These findings are consistent with those of previous studies demonstrating that an advanced age and ICU admission are risk factors for infection with CR K. pneumoniae [37, 40]. A 20-year surveillance study in China showed that the prevalence of CR K. pneumoniae is increasing [21]. The complex environment of the ICU, severe conditions of patients admitted to the ICU, and excessive administration of antimicrobial agents before and during care may have led to the evolution of carbapenem resistance. Travel facilitates the transmission of resistant Enterobacteriaceae [42]. Although the pilgrimage population is not a factor in the Aljouf region than in the Makkah and Madinah provinces, other factors causing the emergence and dissemination of resistant strains persist. As in other regions of the Kingdom, people from Aljouf routinely travel to Makkah for Umrah throughout the year. Various studies and reports from different regions of the Kingdom have highlighted the spread of resistant strains [37, 43–46]. Furthermore, the expatriate population may import and transmit Enterobacteriaceae with diverse resistance mechanisms [47] Aljouf has an expatriated population of 26% according to 2018 statistical data. Klebsiella pneumoniae isolates showed resistance rates of >90% to 1st-, >80% to 2nd–t0 4th-generation cephalosporins, respectively. A >60% resistance rate to imipenems and >65% rate to fluoroquinolones was observed; however, a 77.4% sensitivity rate was observed to amikacin. Decreased susceptibility to antimicrobials may be a risk factor for increased BSIs [21]. Klebsiella pneumoniae presents considerable problems in healthcare settings mainly because of carbapenemase production. Resistant K. pneumoniae isolates are being detected with increased frequency in China, USA, and from Saudi Arabia [25, 48]. The finding agrees with the results of a study conducted in Korea [49] which showed increased resistance to beta-lactam and beta-lactamase inhibitors. However, an earlier report in Saudi Arabia analysing antibiotic resistance from 1998 to 2003 revealed low resistance rates for K. pneumoniae to aminoglycosides, penicillins, and cephalosporins in 2007 [50]. Thus, K. pneumoniae resistance to antimicrobials has greatly increased, creating an important threat in Saudi Arabia. In a recent study, MDR strains co-harbouring the NDM-1, KPC, and OXA-48 genes, which are triple carbapenemase genes, were isolated [25]. We found that the susceptibility to amikacin was >77%, supporting the results of a previous study in Saudi Arabia [51]; however, this susceptibility is lower than that in China [21]. Currently, few treatment options are available for A. baumannii strains that have developed resistance to broad-spectrum antimicrobial agents [52]. This infection is widely disseminated in ICUs because it can colonize a range of surfaces and withstand harsh environments [53]. Forty isolates of XDR were observed, with all 17 isolates of A. baumannii and 23 isolates of K. pneumoniae. All 17 isolates of A. baumannii were recovered from ICU samples. Acinetobacter baumannii showed 100% resistance to gentamycin, penicillins, cephalosporins, fluoroquinolones, and carbapenems. Colistin was 100% effective and trimethoprim-sulfamethoxazole was 29.4% effective against A. baumannii isolates. Increased antimicrobial resistance of A. baumannii has been reported throughout Saudi Arabia [54]. The only available report on A. baumannii resistance from the Aljouf region observed a 7.1% resistance rate to commonly prescribed antimicrobial agents. The 100% resistance to carbapenems observed in this study agrees with the results of Al-Obeid obtained in 2015 which showed a drastic change in resistance to meropenem and imipenem from 19% and 36% in 2006 to 89% and 91.7% in 2012, respectively [55]. A recent study by Al-Agamy et al. in 2018 revealed a similar phenomenon in carbapenem resistance in A. baumannii [13]. The current study found a high resistance rate of A. baumannii compared to an earlier report from the Aljouf region, [56] which may be attributed to changes in the mechanisms of resistance over time and excessive antimicrobial misuse. In 2010, a hospital-based study in Saudi Arabia revealed antimicrobial overuse in intensive care units ranging from 33.2 DDD per 100 bed-days for meropenem to 16.0 DDD for piperacillin-tazobactam compared to 3.75 DDD/100 bed-days for carbapenems and 7.08 for antipseudomonal penicillins [12]. These findings highlight the need for developing effective inpatient antimicrobial and infection control guidelines to limit the emergence and spread of resistant strains in hospitals. This is the first study from Aljouf region that adds to the existing literature on the pathogenic profile of BSIs and their resistance patterns, focusing on resistance of A. baumannii, E. coli, and K. pneumoniae. This study has highlighted that BSIs are dominated by gram negative bacteria and will now serve as a base line for future evaluation of antimicrobial resistance in gram negative organisms causing BSIs in the region. The important limitation of the study is that it analysed antibiograms of BSI caused by gram negative bacteria from a single centre. The other limitation is lack of molecular characterization of this observed resistance. The results suggest that future research on BSI causing pathogens should be expanded to cover other regions in order to get a comprehensive understanding on pathogenic profile and antimicrobial resistance pattern across regions with molecular characterization of resistance. The development of resistant strains presents huge challenges to treating physicians. Adherence to guidelines for initiating empirical, antimicrobial therapy in hospital setting is of utmost importance. Furthermore, research should also focus on assessing the advantages of establishing a rapid, culture-free bacterial identification and sensitivity analysis that will not only help early initiation of appropriate antimicrobial therapy for better patient outcome but will also defer bacterial resistance. The other area of improvement is effective antimicrobial resistance surveillance especially from intensive care units and timely dissemination of information for limiting the spread of infection.

Conclusions

Gram-negative organisms have emerged as a leading cause of BSIs in the region, as most infections were caused by CR K. pneumoniae and XDR A. baumannii. This high prevalence of resistant BSI-causing pathogens is a serious challenge to infection control in hospital settings and causes major issues in treatment, particularly in elderly patients. Resistance to carbapenems highlights the issue of non-compliance with antimicrobial drug prescriptions in hospital settings. Dispensing of antimicrobials should be strictly regulated, and over-the-counter sales of antimicrobials should be discouraged. Furthermore, the increased trend in global dissemination and regional variations in resistance emphasize the need for intensified surveillance of CR K. pneumoniae in this region. 16 Apr 2020 PONE-D-20-05280 Pathogenic Spectrum of Blood Stream Infections and Resistance Pattern in Gram-Negative Bacteria PLOS ONE Dear Dr Bandy, Thank you for submitting your manuscript to PLOS ONE. 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Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. We will update your Data Availability statement on your behalf to reflect the information you provide. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: No ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Pathogenic Spectrum of Blood Stream Infections and Resistance Pattern in Gram-Negative Bacteria The study conducted by authors presents data about blood strain infection bacteria profiles and their antibiotic resistance. Analysis of samples (n=222) collected from hospitals in Saudi Arabia (Aljouf region) revealed valuable information of types of bacteria (advantage of Gram negative) their genus (K. pneumoniae, E. coli, A. baumannii) and their antbiotic response profile. Authors indicated, that bacteria originated from every geographic region may differ in antibiotic resistance. In light of this, work done by authors presents a novelty. Paper is well organised and presents reliable data supported by other studies. However I suggest several minor remarks: 1. If it is possible please specify the region (country) in the title of manuscript 2. a) lines 68-70: The pathogenic spectrum and pattern of antimicrobial resistance of BSIs differ across the affected regions owing to the differences in epidemiological and geographic features across regions b) line 77: In Saudi Arabia, 29% of Escherichia coli strains produce […] c) line 78-79: In the sentence „For Klebsiella pneumoniae, this rate is 65%, and the reported mortality caused by these organisms remains high” please indicate percentage of mortality rate d) Table 2, sections Age and Microorganisms: please sort data from the highest to lowest as in the other sections e) Table 4: Whenever it’s possible I suggest to avoid commercial names of antibiotics such (i.e. Augmentin) and focus on active substances: amoxicillin and clavulanate potassium etc. f) Table 4, section Tygecycline: According to data shown in the table there was 3 resistant cases which is 17,6% of all cases, and there was no sensitive strains at all (0 –in the table). Where is 82,4% cases? Could you explain that? I recommend to publish this paper after applying indicated remarks. Reviewer #2: The manuscript presents interesting data on Pathogenic Spectrum of Blood Stream Infections and Resistance Pattern in Gram-Negative Bacteria. However, i have the following observations. 1. The use of abbreviations in the abstract should be corrected. 2. The data can be explored further by applying non-parametric statistics such as Chi square especially in Table 2 (where applicable). That way the difference between the groups can be better appreciated instead of the percentages. In such cases, provide the p-values deduced as well. 3. There are a lot of result repetitions in the discussion. Also, the discussions are un-conclusive; stating that the values are higher or lower than previous studies alone does not suffice, reasons should be given e.g is it due to variations in sample size, evaluation methods as so on. The entire discussion should be re-written based on this. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 27 Apr 2020 Response to editor comments 1. The anonymized data supporting the findings has been deposited in ‘Dyrad’ repository. For private access during this review period, please visit this temporary link: https://datadryad.org/stash/share/vckG887rWbsoIYu-Elabtk-z_BTIm4WvwThSQnGD6hI. The dataset has been assigned a unique identifier, called a DOI (doi:10.5061/dryad.nvx0k6dp9) and will be available after acceptance. 2. The authors have modified the manuscript to meet PLOS ONE’s style requirements. 3. The details regarding ethical approval and consent have been incorporated in the methods section of the revised manuscript. 4. Point by point response to reviewer queries is submitted in the relevant section of submission path. Response comments Reviewer comments (Reviewer-1) 1. If it is possible please specify the region (country) in the title of manuscript Response: The region and country has been specified in the title of manuscript. 2. line 78-79: In the sentence „For Klebsiella pneumoniae, this rate is 65%, and the reported mortality caused by these organisms remains high” please indicate percentage of mortality rate. Response: The statement has been modified and now includes the percentage of mortality rate. 3. Table 2, sections Age and Microorganisms: please sort data from the highest to lowest as in the other sections. Response: In the section the suggested changes have been made. 4. Table 4: Whenever it’s possible I suggest to avoid commercial names of antibiotics such (i.e. Augmentin) and focus on active substances: amoxicillin and clavulanate potassium etc Response: The commercial name of antibiotic Augmentin is changed to the active substance. 5. Table 4, section Tygecycline: According to data shown in the table there was 3 resistant cases which is 17,6% of all cases, and there was no sensitive strains at all (0 –in the table). Where is 82,4% cases? Could you explain that? Response: I thank the reviewer for this important query. This comment was immensely beneficial. The correction has been made and a statement included in the results section. Response to reviewer-2 1. The use of abbreviations in the abstract should be corrected. Response: All abbreviations have been removed from abstract 2. The data can be explored further by applying non-parametric statistics such as Chi square especially in Table 2 (where applicable). That way the difference between the groups can be better appreciated instead of the percentages. In such cases, provide the p-values deduced as well. Response: Thanks for these comments. We wish to keep this table as it is because applying chi-square test does not have any impact on the understanding of the findings. Besides we wish to keep it as simple descriptive as possible. 3. There are a lot of result repetitions in the discussion. Also, the discussions are un-conclusive; stating that the values are higher or lower than previous studies alone does not suffice, reasons should be given e.g is it due to variations in sample size, evaluation methods as so on. The entire discussion should be re-written based on this. Response: In its present form, every section of the discussion presents the major findings of the paper followed by comparison and reasoning in case of any observed variation in findings. Based on the suggestion the repetition of the results in this section have been reduced and more focus has been paid to reasoning Submitted filename: Response to reviewer.docx Click here for additional data file. 12 May 2020 Pathogenic spectrum of blood stream infections and resistance pattern in Gram-negative bacteria from Aljouf region of Saudi Arabia PONE-D-20-05280R1 Dear Dr. Bandy, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Grzegorz Woźniakowski, PhD ScD Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: N/A ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Dear Author Thank you for applying indicated remarks. I've got no further comments. I recommend to publish manuscript. Kind regards. Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 22 May 2020 PONE-D-20-05280R1 Pathogenic spectrum of blood stream infections and resistance pattern in Gram-negative bacteria from Aljouf region of Saudi Arabia Dear Dr. Bandy: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Prof. Grzegorz Woźniakowski Academic Editor PLOS ONE
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