Introduction

Klebsiella pneumoniae (K. pneumoniae) is a gram-negative bacteria that cause frequent types of nosocomial infections1,2. Worldwide prevalence of hospital-acquired infections was reported as 8.7%, and about 10% were due to K. pneumoniae1. K. pneumoniae carries genes that mediate resistance to multiple antimicrobial drugs and can transfer these genes to other gram-negative bacteria2. Moreover, multidrug-resistant (MDR) K. pneumoniae cause different types of infection, including lower respiratory tract infections, bacteremia, bloodstream infections, wound infections and urinary tract infections3. The burden associated with MDR K. pneumoniae infections includes failure of treatment strategy, extended hospital stay, increased medical costs and increased mortality and morbidity rate3,4.

Over the last decades, the prevalence of MDR K. pneumoniae in clinical settings has increased progressively1,5. This is evidenced by several studies in Saudi Arabia revealing high rates of multidrug-resistant pathogens in hospital settings6,7,8,9. To illustrate, a surveillance dataset from a multi-hospital healthcare system in Saudi Arabia showed heavier and more resistant contribution of gram-negative pathogens to device-associated, healthcare-associated infections in comparison to American hospitals6.

Although many studies in Saudi Arabia have evaluated the MDR patterns of gram-negative pathogens, data considering the risk factors of acquisition of MDR pattern is still limited8,10,11,12. For example, in a study conducted at King Saud Medical City, a premier health centre in Saudi Arabia, Al Mayahi found that the uncontrolled use of antibiotics, prolonged stay in the intensive care unit (ICU) and frequent use of different devices are the potential risk factors in developing colistin resistance13. However, there is still a knowledge gap regarding the factors associated with MDR patterns among bacterial pathogens in many local regions8,10. Therefore, the risk factors that contribute to acquiring infection with MDR bacterial pathogens must be investigated. Thus, it can be hypothesized that the acquisition of infections with MDR pathogens might be correlated to patients’ sex11, age group14, hospitalization status, underlying condition and ICU admission12. More importantly, detecting such risk factors can facilitate the utilization of antibiotics in clinical practice and provide useful information to guide decision-making and control implementation of programs11. Therefore, this study aimed to determine the prevalence and risk factors associated with MDR K. pneumoniae infection among hospitalized patients in a referral hospital in southern Saudi Arabia.

Materials and methods

Study setting and design

This prospective cross-sectional study was conducted in King Abdullah Hospital (KAH) over a period from April 2021 to March 2022. The KAH is located in Bisha, a large province in the Aseer region in southern Saudi Arabia. It is the only main referral hospital with different departments and specialties that serve large populations of Bisha, the surrounding suburbs and cities of the neighbouring provinces.

Study population

The study population was composed of adult patients aged 22 years or above who were admitted to KAH. Patients at this age group were more susceptible for bacterial infections, having comorbidities, frequently hospitalized and exposed to antibiotic treatments. The study excluded paediatric population, outpatient, patients with incomplete clinical data or patients with two types of bacterial infections. The general and clinical information of the patients were obtained from their medical records without violating their identities. However, patients’ identities not revealed anywhere in the study.

Sample collection and processing

There was no precalculated sample size carried out for the study. All K. pneumoniae isolates recovered from clinical samples received at the hospital laboratory for routine microbiological investigations of infectious agents during the study period were included in the study.

The clinical samples of patients were collected and processed as per standard laboratory procedures15. Each patient’s mid-stream urine sample was collected and placed into a sterile plastic container, inoculated immediately on MacConkey agar and blood agar plates using a disposable calibrated plastic loop (1.3 mm diameter, delivering 1 μL) and incubated at 37 °C overnight. Wound pus was taken as a swab, placed on a transport medium and processed immediately by culturing MacConkey agar and blood agar plates (Oxoid Co., Cheshire, England). Sputum and other body fluids were collected into sterile plastic containers and inoculated directly onto MacConkey agar plates. All cultured plates were incubated aerobically for 24 h at 37 °C and were examined for countable colonies.

The blood samples (10 ml from each patient) were collected under a septic condition, inoculated immediately into tryptic soya broth (Oxoid Co., Cheshire, England) and incubated aerobically at 37 °C and daily checked for turbidity, haemolysis and clot formation. Each bottle with any turbidity was sub-cultured onto blood agar and MacConkey agar plates and incubated aerobically overnight.

Only one non-duplicate K. pneumoniae isolated from the patient sample was included in the study.

Identification of K. pneumoniae

Identification of K. pneumoniae isolates was first done using colony characteristics, gram reaction and conventional biochemical tests. The isolates were then confirmed as K. pneumoniae by VITEK II automatic identification system (bioMerieux, Marcy l’E’toile, France) using the card for gram-negative strains (ID-GNB).

Susceptibility tests

The susceptibility of K. pneumoniae isolates were categorized into different antibiotic classes using VITEK II cards (AST-N292) (bioMérieux, Marcy l’Etoile, France) per the instructions of the manufacturer. The minimum inhibitory concentration (MIC) and breakpoints were determined following the policies of the Clinical and Laboratory Standards Institute (CLSI)16. The antibiotics that were tested include amikacin, amoxicillin/clavulanate, ampicillin, aztreonam, cefepime, ceftriaxone, cefuroxime, ciprofloxacin, colistin, gentamicin, imipenem, meropenem, piperacillin/tazobactam, tigecycline and trimethoprim/sulfamethoxazole. K pneumoniae ATCC 700,603 and Escherichia coli ATCC 25,922 were used as quality control strains. The findings of antibiotic susceptibility were reported as resistant or sensitive. K. pneumoniae that is resistant to one antibiotic into three or more different antibacterial were identified as MDR isolates17.

Detection of risk factors

To detect the risk factors associated with MDR K. pneumoniae infection, the patients’ general and clinical information were obtained from their clinical records in the hospital. These include patient gender, age group, type of infection, duration of hospital admission, ICU admission, utilization of invasive devices and comorbidities (diabetes mellitus, hypertension, chronic kidney disease, heart disease, cardiovascular disease, stroke, chronic obstructive pulmonary disease and COVID-19). It has assumed that change of antibiotic prescribing and infection control measures in the hospital settings during COVID-19 pandemic might have effect on the occurrence of MDR bacteria18.

Ethics clearance

The study protocol was reviewed and approved by the Research Ethics Local Committee at the College of Medicine, University of Bisha (UBCOM-RELOC/H-06-BH-087 (05/04); on April 12th, 2021), with a waiver of informed consent. Study data and clinical information were collected from electronic database of the hospital and managed in anonymous format without violating patients’ identities. All methods were carried out in accordance with relevant ethical guidelines and regulations.

Statistical analysis

Data were encoded and analysed using IBM SPSS version 28.0 (SPSS Inc., Chicago, IL, USA). Descriptive statistics was performed to describe baseline characteristics and presented in number, frequency, percentage, mean and standard deviation (SD). Risk factors associated with MDR K. pneumoniae infections were determined based on univariate and multivariate logistic regressions. The Pearson chi-squared test was used to compare categorical data. Fisher’s exact test was used when at least one cell count in the contingency table of the expected frequencies was less than five. In univariate logistic regression, the associations for acquiring MDR K. pneumoniae infections were presented with an odds ratio (OR) with a 95% confidence interval (95% CI). Variables with p-values < 0.2 in the univariate model were included in the multivariate logistic regression analysis. The backward stepwise elimination method was used to obtain the final predictive factors independently associated with MDR K. pneumoniae infection. Hosmer–Lemeshow goodness-of-fit test was used to assess model fits. The results were interpreted as an odds ratio in a 95% confidence interval (95% CI). All results with p-value < 0.05 were considered statistically significant.

Results

Table 1 shows the baseline characteristics of the study participants with K. pneumoniae infection. A total of 211 K. pneumoniae were recovered from adult patients (n = 211). The mean age of the patients was 63.98 years (SD 19.8). One hundred twenty-five (59.2%) were aged 65 years or older, and the remaining were below that (40.8%). K. pneumoniae isolates were obtained from clinical samples of urine (n = 85), sputum (n = 74), wound pus (n = 25), blood (n = 20) and tracheal aspirate (n = 7). One hundred and seven (50.7%) isolates were recovered from patients who were in the ICU and 104 (49.3%) from other wards. One hundred and forty two (67%) patients were being hospitalized for less than one week while 32.7% (n = 69) were hospitalized for more than one week. Half of the patients (50.7%; 107) were admitted to the ICU and 75.8% (n = 160) with chronic diseases (Table 1).

Table 1 Baseline and clinical characteristics of patients with Klebsiella pneumoniae infection.

Of the 211 patients, 141 (66.8%) were infected with MDR K. pneumoniae. These isolates were more frequently in men (74%, 94); in patients over 65 years (64.5%; 91); from sputum samples (81.1%; 60); patients in the ICU (75.7%; 81); patients who utilized mechanical ventilation (76.8%; 53) and those with chronic diseases (71.9%; 115) (Table 1).

Antibiotic susceptibility of MDR and non-MDR K. pneumoniae are illustrated in Table 2. Significant differences in resistance rate were detected between MDR and non-MDR isolates to all tested antimicrobial agents. Among MDR K. pneumoniae, the highest level of resistance was determined for ampicillin (100%), cefuroxime (97.9%), ceftriaxone (94.3%) and aztreonam (92.2%). Moderate resistance rates were observed for gentamicin (73%), amikacin (71.6%) and meropenem (63.8%). Low resistance rates were determined for imipenem (46.8%), colistin (16.3%) and tigecycline (6.4%).

Table 2 Antibiotic resistance profile of MDR and non-MDR Klebsiella pneumoniae isolates.

Univariate unadjusted analyses revealed an association between MDR K. pneumoniae and several demographic and clinical variables. Many characteristics, including the patients’ gender, age group, ICU admission, utilization of invasive medical device, presence of chronic illness, diabetes mellitus (DM), hypertension and chronic obstructive pulmonary disease (COPD) were significantly associated with MDR K. pneumoniae infection. As illustrated in Table 3, men were two times more likely to acquire infection with MDR K. pneumoniae than women (odd ratio [OR] 2.242; 95% confidence interval CI 1.249‒4.027, p = 0.07). There were increased OR for MDR K. pneumoniae infection among patients aged 65 years or above (OR 1.988; 95% CI 1.11–3.561, p = 0.021) than those aged below 65 years old. Patients admitted to the ICU were two times more likely to have MDR K. pneumoniae than those in the other hospital wards (OR 2.285; 95% CI 1.268–4.116, p = 0.006). Moreover, an almost similar increase in OR for MDR K. pneumoniae infection was observed among patients subjected to mechanical devices than those without it (OR 2.033; 95% CI 1.057–3.908, p = 0.033). Moreover, patients with chronic diseases were more likely to acquire MDR K. pneumoniae infection than those without chronic diseases (OR 2.457; 95% CI 1.285–4.699, p = 0.007). However, there were increased odds of infection among patients with COPD, DM and hypertension. Other examined variables, such as period of hospitalization, type of clinical samples, usage of ventilation, chronic kidney disease (CKD), heart disease, cardiovascular diseases, stroke and ccoronavirus disease (COVID-19), were not significantly related to MDR K. pneumoniae acquisition. Detailed data are presented in Table 3.

Table 3 Potential risk factors for multidrug-resistant Klebsiella pneumoniae infection in adult patients in univariate analysis.

In the multivariate analyses (Table 4), predictors of infections with MDR K. pneumoniae included being male, patients aged 65 years or older, ICU admission, DM and COPD.

Table 4 Results of multivariate logistic regression analysis showing factors associated with acquisition of infection with MDR Klebsiella pneumoniae strain.

Discussion

The present study identified the common factors that increased the risk of acquiring infection with MDR K. pneumoniae among hospitalized patients. In this study, the prevalence of MDR pattern among K. pneumoniae was found to be at 66.8%. This is higher than the 16.9% reported in eastern Saudi Arabia from 2017 to 201811 and the 23% reported in a study conducted in Riyadh, the capital of Saudi Arabia, from 2008 to 20166. Furthermore, a study that estimated the resistance of gram-negative pathogens causing surgical site infections at a multi-hospital healthcare system in Saudi Arabia within 2007–2016 found that the proportion of MDR K. pneumoniae was 20.4%19. Worldwide studies documented the occurrence of MDR patterns among bacterial pathogens. For instance, a systematic review recorded data from 28 countries of six regions found that the pooled prevalence of nosocomial MDR K. pneumoniae was estimated at 32.8% (95% CI 23.6–43.6)1. The proportions of MDR K pneumoniae clinical isolates have been reported in Asian countries—for instance, 46.6% rate in Pakistan20 and 70% in Indian hospitals21. Notably, the percentage of MDR K. pneumoniae vary geographically and has become a significant concern around the globe. The differences in resistance rates among geographical regions could be attributed to the variations in the types of patients served, the policy of antibiotic use or the lack of hospital hygiene and infection-control measures22,23. However, the widely used antibiotics in hospital settings lead bacterial pathogens to develop acquired resistance to many antibiotic classes4,21. In addition, the horizontal transfer of mobile genetic elements carrying resistant determinants to several antimicrobial types is the major driver of resistance in gram-negative bacteria24. Today, more than 100 acquired resistance genes have been identified in Klebsiella strains, conferring the susceptibility of wide ranges of antimicrobial agents2,25. This corroborates the need to continue molecular epidemiology studies to assess the resistance genotypes and their diversity and distribution in each region8.

In the present study, MDR K. pneumoniae were commonly recovered from sputum samples, indicating that the respiratory system is the most common source of MDR K. pneumoniae strains in this clinical setting. Similarly, a study from India showed that MDR K. pneumoniae were commonly isolated from sputum samples21. On the contrary, a study conducted in eastern Saudi Arabia found that urine is a common source of MDR gram-negative bacteria, including K. pneumoniae11. Furthermore, a study from Thailand specified the urinary system is the most important site of infection-producing MDR-gram-negative bacteria26. This might be due to the differences in antibiotic use, environmental conditions and resistance patterns in each specific geographical region, population and healthcare facilities. Therefore, understanding the susceptibility patterns and distribution of MDR bacteria in a given hospital setting is important in selecting empirical therapy that leads to the desired outcome for the patients4,7.

In the present study, MDR K. pneumoniae revealed high resistance to ampicillin, cefuroxime, ceftriaxone, and aztreonam. This finding is similar to those reported from the eastern region of the country where the proportions of resistance were more than 70% for ampicillin, amoxicillin/clavulanic acid, amoxicillin/clavulanic acid, ceftriaxone and cefuroxime11. In addition, a study indicated that K. pneumoniae has become resistant to third-generation cephalosporins and carbapenems, which led to narrowing therapeutic choices for MDR K. pneumoniae infection2. The high resistance rates could be explained by these antibiotics being the most prescribed therapeutic agents in clinical settings. It is well backed up by data that frequent use of antibiotics is a significant risk factor associated with the development of bacterial resistance7,10,27. For instance, the overuse of meropenem and piperacillin-tazobactam antibiotics has been reported in adult ICUs in Saudi Arabia25. This necessitates controlling inappropriate prescription of antibiotics, including antibiotic selection, dosing, or duration and align them with evidence-based recommendations for diagnosis and management in clinical settings28,29,30. More importantly, establishing a local antibiogram database will guide the treatment strategies for bacterial pathogens7.

In the univariate analysis, the study identified several factors correlated with MDR K. pneumoniae infections. The result showed that men were more likely to have infections with than women. Consistently, the number of MDR K. pneumoniae was higher in male (64.4%) than in female patients (35.7%) found in a study carried out in China4. Various findings in scientific literature documented the association between patients’ gender and MDR pathogens. In a study determining the prevalence of MDR gram-negative bacteria and its associated risk factors from patients in the Security Forces Hospital in Dammam, Saudi Arabia, Al Hamdan et al.11 found that the resistance was not significantly different between the male and female patients (p = 0.084). In the United States, a study found no significant associations between the gender of patients and the presence of MDR among extended-spectrum b-lactamase–producing Escherichia coli and Klebsiella species31. Similarly, a study in Iran reported no significant associations (p = 0.63) between MDR K. pneumoniae and being male or female20. On the contrary, the female sex was found to be independently associated with the acquisition of MDR pathogens in a study carried out in Ghana14. The higher rate of MDR K. pneumoniae found among men in this study may be attributed to the fact that male patients have more complications and serious conditions that need extensive therapy and invasive and non-invasive procedures. However, the frequent use of specific antibiotics provides a selective pressure for MDR in bacteria pathogens4. Therefore, further longitudinal studies are needed to understand the gender differences in the prevalence of infections caused by MDR K. pneumoniae.

In this study, patients  ≥ 65 years were about two times to acquire MDR K. pneumoniae infections than those below 65 years old. This is almost consistent with the finding of Gnimatin et al. who found that patients 60 years old and above (crude OR 1.41; 95% CI 1.05–1.89; p-value = 0.023) had 1.41 times more odds of developing multidrug-resistant organisms infections14. A recent study in Saudi Arabia reported that patients aged 70 to 79 years and more than 90 years are at risk of MDR-gram-negative bacterial infection11. A possible explanation is that elderly patients are more frequently hospitalized, likely to be immune-compromised and under frequent mechanical procedures and long-term antibiotic therapy. In addition, a previous study found that elderly patients are at a high risk of nosocomial infections due to a higher disease prevalence in this population, including neurological disorders, diabetes and cardiovascular diseases4.

The present study showed that ICU admission and exposure to invasive devices were risk indicators in acquiring infections with MDR K. pneumoniae strains, which is in agreement with several studies3,4,8,32. Furthermore, the increased risk of acquiring infections with MDR bacteria in the ICU is associated with the severity of the patient’s illness and underlying conditions, length of exposure to invasive procedures, extensive antibiotic use and increased patient contact with healthcare personnel and length of stay in the ICU4,7,32.

Furthermore, chronic diseases were predictors of MDR K. pneumoniae infections. However, patients with COPD were about six times more likely to have MDR K. pneumoniae infections. In addition, patients with hypertension have a high risk (OR = 1.909) of acquiring MDR pathogens. This is attributed to patients with chronic illness requiring a prolonged hospital stay, extensive antibiotic therapy and instrumentation such as prolonged bladder catheterization and mechanical ventilation13.

After adjusting for other confounding factors, the multivariate analysis resulted in five independent factors inclusive of male patients, elderly patients, COPD, DM and ICU admission associated with MDR K. pneumoniae infection in our setting. A previous study in Riyadh found that DM, hypertension, renal and heart diseases were common comorbidities among patients with colistin-resistant pathogens13. Patients with underlying diseases and serious conditions staying longer in hospital and usually under frequent use of devices, invasive procedures and broad spectrum of antibiotics might facilitate acquisition MDR pathogens8,33.

ICU admission has been documented as an independent risk factor for the acquisition of MDR K. pneumoniae by many authors7,32,34. It was suggested that ICU patients are at an increased risk of acquiring infections with MDR bacteria and most of which are associated with the use of invasive devices such as indwelling catheters and central venous catheters4,7,31,35. A previous study in Saudi Arabia suggested that increasing resistance rates in the ICU and surgical wards may be parallel with higher usage of antimicrobial drugs. Other factors, such as using other medications or cross-transmission, may play an important role in circulating these organisms in hospital wards34. Therefore, epidemiological studies are necessary to deliver important information about pathogen characteristics, their resistance, type of patients infected with and treatment outcomes and could be useful in the development and implementation of control policies in the ICU7. Moreover, practice of hygiene among healthcare providers is essential to reduce the circulation of MDR pathogens in the hospital settings14.

Limitations

The present study has several limitations. First, the relatively small sample size of this cross-sectional study might restrict the study findings. Second, the study did not examine many possible risk factors including previous antibiotic uptake and clinical history. Therefore, analysis of more isolates against diverse factors would provide a more generalized database. Third, the study did not consider all the patients with K. pneumoniae infections in the hospital, but only those who collected their clinical samples for routine laboratory investigations of diseases and yielded positive culture results for K. pneumoniae. To generalize these findings, further studies that targeted all patients admitted with suspected K. pneumoniae infection are essential.

Conclusions

The study reported increased MDR patterns among K. pneumoniae and high resistance rates against the tested antibiotics. The high resistance rate highlights the need to strengthen hospital-based antibiotic stewardship programs and infection-control measures to decrease the spread of MDR bacteria. Moreover, awareness of the susceptibility patterns of pathogens within a given local setting is important to select suitable antimicrobial therapy.

The study demonstrated the significance of identifying risk factors in acquiring multidrug-resistant bacteria to design and implement strategies to prevent further increase in MDR pathogens. Determining the risk factors in developing MDR bacterial infections provided essential information to combat infection caused by such pathogens and can preserve alternative antimicrobial agents, thereby reducing the dependence on carbapenems. This study has offered a vision of MDR K. pneumoniae infection in our hospital setting and provided essential indications for further studies that may serve as guide in the prevention and reduction of MDR bacteria.