{"id":65977,"date":"2025-06-30T10:38:33","date_gmt":"2025-06-30T10:38:33","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=65977"},"modified":"2025-07-16T05:32:34","modified_gmt":"2025-07-16T05:32:34","slug":"emerging-drug-resistance-in-acinetobacter-species-a-study-on-isolation-speciation-and-antimicrobial-susceptibility-patterns-in-a-tertiary-care-hospital","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol18no2\/emerging-drug-resistance-in-acinetobacter-species-a-study-on-isolation-speciation-and-antimicrobial-susceptibility-patterns-in-a-tertiary-care-hospital\/","title":{"rendered":"Emerging Drug Resistance in Acinetobacter species: A Study on Isolation, Speciation and Antimicrobial Susceptibility Patterns in a Tertiary Care Hospital"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p><em>Acinetobacter<\/em> species, particularly <em>Acinetobacter baumannii<\/em>(<em>A .baumannii<\/em>), have emerged as significant pathogens in both community and healthcare settings. These bacteria are highly adaptable and able to survive on both dry and moist surfaces, which allows them to persist in hospital environments and cause a variety of opportunistic infections. These infections range from pneumonia, often associated with endotracheal tubes, to bacteremia, meningitis, urinary tract infections, endocarditis, and wound and soft tissue infections.<sup>1<\/sup> Various risk factors contribute to these infections, including climatic conditions, diabetes mellitus, smoking, alcohol use, and chronic obstructive pulmonary disease (COPD).<sup>2<\/sup><\/p>\n<p>Globally, the prevalence of <em>A. baumannii <\/em>infections is increasing, particularly in hospital settings.<sup>3<\/sup> The World Health Organization (WHO) has classified carbapenem-resistant <em>A. baumannii<\/em> as one of the most critical antibiotic-resistant pathogens.<sup>4<\/sup> The prevalence rates of multidrug-resistant (MDR) <em>A. baumannii<\/em> are particularly concerning, with studies indicating that resistance rates are 65% to 80% in many countries worldwide.<sup>5<\/sup><\/p>\n<p>In India, the situation is particularly dire, with studies showing a significant rise in <em>A. baumannii<\/em> infections. \u00a0According to Systemic review studies, the prevalence rate of MDR species ranges from 8.9\u00a0% to 73.2 % in different healthcare settings.<sup>6,7<\/sup><\/p>\n<p>This rise in resistance is largely due to factors such as the overuse and misuse of antibiotics, inadequate infection control practices, and the absence of stringent antibiotic stewardship programs. \u00a0Even more concerning is the growing resistance to colistin, an antibiotic often used as a last resort. Studies indicate that the global resistance to colistin is around 4%, and similar trends are being observed in India, further limiting the treatment options for these infections. In response to the high level of antibiotic resistance and the variability in resistance profiles across different geographical areas, this study aims to achieve objectives such as (1) to isolate and identify the various <em>Acinetobacter <\/em>species \u00a02) \u00a0to determine the antibiotic susceptibility profiles of <em>Acinetobacter <\/em>species, focusing on understanding the resistance patterns to critical antibiotics such as carbapenem, colistin, and other commonly used antibiotics 3) to investigate the synergistic effects of ceftazidime-avibactam and aztreonam combination therapy using the E-strip method.<\/p>\n<p><strong>Materials and Methods<\/strong><\/p>\n<p>Study Design and Sample Collection: This study was a prospective cross-sectional study conducted in a tertiary care center in the Department of Microbiology over a year (January 2023 to December 2023). The study was approved by our Institutional Human Ethics Committee (SBMCH\/002\/SBMCH\/IEHC\/1828).<\/p>\n<p><strong>Sample Types and Collection<\/strong><\/p>\n<p>Clinical samples such as blood, pus, wound swabs, endotracheal (ET) aspirates, bronchoalveolar lavage (BAL), and sputum were collected from different wards within the hospital. Around 108 non-duplicate <em>Acinetobacter<\/em> isolates were isolated from the clinical samples.<\/p>\n<p><strong>Isolation<\/strong><\/p>\n<p>The samples collected were processed using standard microbiological techniques. Initially, the samples inoculated onto appropriate culture media, such as MacConkey agar (Hi media), blood agar (Hi media), and Nutrient agar (Hi media).<sup>8<\/sup><\/p>\n<p><strong>Identification by Standard Biochemical Test<\/strong><\/p>\n<p>Once the colonies suspected to be <em>Acinetobacter<\/em> were isolated, they were identified using Gram Staining and standard biochemical tests. Common biochemical tests for <em>Acinetobacter<\/em> include oxidase, catalase, motility, carbohydrate utilization test, oxidation of glucose, beta hemolysis at 37\u00b0C and 42\u00b0C, and arginine hydrolysistests.<sup>9<\/sup> These tests help differentiate <em>Acinetobacter<\/em> from other Gram-negative bacilli.<\/p>\n<p><strong>Confirmation of Species by Vitex-2MALDI-TOF<\/strong><\/p>\n<p>The isolates were chosen and smeared over the sample locations on the target slide using loops. After that, the sample was covered with 1 \u03bc of VITEK MS-CHCA matrix, and it was allowed to air dry until the matrix and sample co-crystallized. The VITEK MS (BioM\u00e9rieux) system was then used to load the target slide containing all of the prepared samples to obtain the mass spectra of each sample&#8217;s entire bacterial cell protein, primarily ribosomal protein.In the end, the mass spectra obtained for every sample were compared to those\u00a0already known and recorded in the database. Based on how well the collected spectra matched the mass spectra in the database, a confidence score was assigned.<sup>10<\/sup><\/p>\n<p><strong>Kirby-Bauer Disk Diffusion Method<\/strong><\/p>\n<p>The antibiotic susceptibility of the isolated <em>Acinetobacter<\/em> strains was determined using the Kirby-Bauer disk diffusion method. This method involves placing antibiotic-impregnated paper disks on an agar plate inoculated with the isolated bacteria. The antibiotics used were:Gentamicin (30 \u03bcg) (Himedia), Amikacin (30 \u03bcg) (Himedia), Ciprofloxacin (5 \u03bcg) (Himedia), Levofloxacin (5 \u03bcg) (Himedia), ceftazidime (\u03bcg) (Himedia), Ceftriaxone (30 \u03bcg) (Himedia), Cefepime (30 \u03bcg) (Himedia), Piperacillin-tazobactam (100\/20 \u03bcg) (Himedia), Meropenem (30 \u03bcg) (Himedia). After incubation, the zone of inhibition around each disk is measured to determine the susceptibility of the bacteria to each antibiotic.The interpretation was made using CLSI guidelines 2023.<sup>11<\/sup><\/p>\n<p><strong>Minimum Inhibitory Concentration (MIC) Determination<\/strong><\/p>\n<p>The MIC for colistin and tigecycline was determined using the VITEK-2 system (Biomerieux) using AST Card 406.<\/p>\n<p><strong>Detection of Ceftazidime-Avibactam and Aztreonam synergy using E strip <\/strong><\/p>\n<p>This method was done for only 5 MDR <em>Acinetobacter<\/em> strains isolated from ICU patients. Lawn cultures ofMDR <em>Acinetobacter <\/em>were done on the Mueller Hinton agar plate, and aztreonam-containing E-test strips were placed and diffused. The first E-test strip (Aztreonam) was removed after 10 minutes of incubation. The Ceftazidime-Avibactam E-strip was placed over the impression of the Aztreonam E-strip. The aztreonam strip was again placed over the ceftazidime\/avibactam strip by gradient stacking. Then it was incubated for 16\u201318 hours after which the MIC value was noted.<sup>12<\/sup><\/p>\n<p><strong>Results<\/strong><\/p>\n<p>A total of 108 non-duplicate <em>Acinetobacter<\/em> isolates were obtained from various clinical samples. Of these, 103 (95.3%) were identified as <em>Acinetobacter baumannii<\/em> and 5 (4.6%) as <em>Acinetobacter lwoffii<\/em> (Figure 1). The distribution of isolates across wards showed that ICU patients contributed the highest number of isolates (42.59%, 46\/108), followed by the surgical (19.4%, 21\/108) and medical (15.7%, 17\/108) wards (Table 1). The <em>Acinetobacter<\/em> infections were more prevalent in male patients (67.6%) compared to females (32.4%), as shown in Table 2.<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 19.687%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-65982\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1.jpg 682w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 80.313%;\"><strong>Figure 1: <\/strong><strong>Species-wise distribution of <em>Acinetobacter <\/em>spp.,<\/strong><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig1.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Table 1: <\/strong><strong>Department-wise distribution of the <em>Acinetobacter<\/em> species isolates <\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"80\"><strong>S.No<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"201\"><strong>Department\/ward<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"154\"><strong>Isolation of isolates in Males<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"165\"><strong>Isolation of isolates in Females<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"171\"><strong>Total<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">1<\/td>\n<td style=\"text-align: center;\" width=\"201\">ICU<\/td>\n<td style=\"text-align: center;\" width=\"154\">38<\/td>\n<td style=\"text-align: center;\" width=\"165\">8<\/td>\n<td style=\"text-align: center;\" width=\"171\">46 (42.59 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">2<\/td>\n<td style=\"text-align: center;\" width=\"201\">Surgical ward<\/td>\n<td style=\"text-align: center;\" width=\"154\">11<\/td>\n<td style=\"text-align: center;\" width=\"165\">10<\/td>\n<td style=\"text-align: center;\" width=\"171\">21 (19.4 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">3<\/td>\n<td style=\"text-align: center;\" width=\"201\">Medicine ward<\/td>\n<td style=\"text-align: center;\" width=\"154\">14<\/td>\n<td style=\"text-align: center;\" width=\"165\">3<\/td>\n<td style=\"text-align: center;\" width=\"171\">17 (15.7 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">4<\/td>\n<td style=\"text-align: center;\" width=\"201\">Paediatric ward<\/td>\n<td style=\"text-align: center;\" width=\"154\">1<\/td>\n<td style=\"text-align: center;\" width=\"165\">4<\/td>\n<td style=\"text-align: center;\" width=\"171\">5 (4.6 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">5<\/td>\n<td style=\"text-align: center;\" width=\"201\">Orthopaediatrics ward<\/td>\n<td style=\"text-align: center;\" width=\"154\">9<\/td>\n<td style=\"text-align: center;\" width=\"165\">9<\/td>\n<td style=\"text-align: center;\" width=\"171\">18 (16.7 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">6<\/td>\n<td style=\"text-align: center;\" width=\"201\">Gynecology<\/td>\n<td style=\"text-align: center;\" width=\"154\">&#8211;<\/td>\n<td style=\"text-align: center;\" width=\"165\">1<\/td>\n<td style=\"text-align: center;\" width=\"171\">1 (0.9 %)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Table 2: <\/strong><strong>Risk factor analysis<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr style=\"height: 125px;\">\n<td style=\"text-align: center; height: 197px; width: 32.9873%;\" rowspan=\"2\" width=\"257\"><strong>Age<\/strong><\/td>\n<td style=\"text-align: center; height: 125px; width: 32.9873%;\" width=\"257\">&gt; 50 years<\/td>\n<td style=\"text-align: center; height: 125px; width: 32.9873%;\" width=\"257\">67 (62 %)<\/td>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"text-align: center; height: 72px; width: 32.9873%;\" width=\"257\">&lt; 50 years<\/td>\n<td style=\"text-align: center; height: 72px; width: 32.9873%;\" width=\"257\">41 (38%)<\/td>\n<\/tr>\n<tr style=\"height: 67px;\">\n<td style=\"height: 139px; text-align: center; width: 32.9873%;\" rowspan=\"2\" width=\"257\"><strong>Gender<\/strong><\/td>\n<td style=\"height: 67px; text-align: center; width: 32.9873%;\" width=\"257\">Male<\/td>\n<td style=\"height: 67px; text-align: center; width: 32.9873%;\" width=\"257\">73 (67.6%)<\/td>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"height: 72px; text-align: center; width: 32.9873%;\" width=\"257\">Female<\/td>\n<td style=\"height: 72px; text-align: center; width: 32.9873%;\" width=\"257\">35 (32.4%)<\/td>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"height: 144px; width: 32.9873%; text-align: center;\" rowspan=\"2\" width=\"257\"><strong>Duration of hospitalisation<\/strong><\/td>\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">&lt; 7days<\/td>\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">49 (45.4%)<\/td>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">&gt; 7 days<\/td>\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">59 (54.6%)<\/td>\n<\/tr>\n<tr style=\"height: 75px;\">\n<td style=\"height: 147px; width: 32.9873%; text-align: center;\" rowspan=\"2\" width=\"257\"><strong>Co-morbid Illness<\/strong><\/td>\n<td style=\"height: 75px; width: 32.9873%; text-align: center;\" width=\"257\">Present<\/td>\n<td style=\"height: 75px; width: 32.9873%; text-align: center;\" width=\"257\">59 (54.6%)<\/td>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">Absent<\/td>\n<td style=\"height: 72px; width: 32.9873%; text-align: center;\" width=\"257\">49 (45.4%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Age Distribution<\/strong><\/p>\n<p>The majority of patients with <em>Acinetobacter<\/em> infections were over 50 years old (37.9%, 41\/108), followed by those aged 41-50 (10.2%, 11\/108), and 31-40 (9.25%, 10\/108) (Table 3). Only 0.9% of isolates were from patients aged 1-10 years, indicating that older adults were significantly more affected by these infections.<\/p>\n<p><strong>Table 3: <\/strong><strong>Age-wise distribution of <em>Acinetobacter<\/em> isolates<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"92\"><strong>S.No<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"295\"><strong>AGE (in Years)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"213\"><strong>Number of Isolates<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">1<\/td>\n<td style=\"text-align: center;\" width=\"295\">1-10<\/td>\n<td style=\"text-align: center;\" width=\"213\">1 (0.9 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">2<\/td>\n<td style=\"text-align: center;\" width=\"295\">11-20<\/td>\n<td style=\"text-align: center;\" width=\"213\">4 (3.7 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">3<\/td>\n<td style=\"text-align: center;\" width=\"295\">21-30<\/td>\n<td style=\"text-align: center;\" width=\"213\">8 (7.4 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">4<\/td>\n<td style=\"text-align: center;\" width=\"295\">31-40<\/td>\n<td style=\"text-align: center;\" width=\"213\">10 (9.25 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">5<\/td>\n<td style=\"text-align: center;\" width=\"295\">41-50<\/td>\n<td style=\"text-align: center;\" width=\"213\">11(10.2 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\">6<\/td>\n<td style=\"text-align: center;\" width=\"295\">&gt; 50<\/td>\n<td style=\"text-align: center;\" width=\"213\">41 (37.9 %)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"92\"><\/td>\n<td style=\"text-align: center;\" width=\"295\">Total<\/td>\n<td style=\"text-align: center;\" width=\"213\">108<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Gender Distribution by Sample Type<\/strong><\/p>\n<p>Table 4 highlights the gender-specific distribution of isolates from different sample types. Endotracheal (ET) aspirates yielded the highest number of isolates (36.1%, 39\/108), with 30 from male patients and 9 from females. Sputum samples were the second most common source (34.2%, 37\/108), with 24 from males and 13 from females. Pus samples accounted for 21.3% (23\/108) of isolates, showing a similar gender trend, while blood and bronchoalveolar lavage (BAL) samples contributed to a smaller percentage of the isolates.<\/p>\n<p><strong>Table 4: <\/strong><strong>Gender-wise distribution of the <em>Acinetobacter <\/em>spp., isolates in different samples<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"80\"><strong>S.No<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"201\"><strong>Sample<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"154\"><strong>Isolation of isolates in Males<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"165\"><strong>Isolation of isolates in Females<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"171\"><strong>Total<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">1<\/td>\n<td style=\"text-align: center;\" width=\"201\">ET aspirate<\/td>\n<td style=\"text-align: center;\" width=\"154\">30<\/td>\n<td style=\"text-align: center;\" width=\"165\">9<\/td>\n<td style=\"text-align: center;\" width=\"171\">39 (36.1%)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">2<\/td>\n<td style=\"text-align: center;\" width=\"201\">Sputum<\/td>\n<td style=\"text-align: center;\" width=\"154\">24<\/td>\n<td style=\"text-align: center;\" width=\"165\">13<\/td>\n<td style=\"text-align: center;\" width=\"171\">37 (34.2%)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">3<\/td>\n<td style=\"text-align: center;\" width=\"201\">Pus<\/td>\n<td style=\"text-align: center;\" width=\"154\">14<\/td>\n<td style=\"text-align: center;\" width=\"165\">9<\/td>\n<td style=\"text-align: center;\" width=\"171\">23 (21.3%)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">4<\/td>\n<td style=\"text-align: center;\" width=\"201\">Blood<\/td>\n<td style=\"text-align: center;\" width=\"154\">4<\/td>\n<td style=\"text-align: center;\" width=\"165\">3<\/td>\n<td style=\"text-align: center;\" width=\"171\">7 (6.5%)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\">5<\/td>\n<td style=\"text-align: center;\" width=\"201\">BAL<\/td>\n<td style=\"text-align: center;\" width=\"154\">1<\/td>\n<td style=\"text-align: center;\" width=\"165\">1<\/td>\n<td style=\"text-align: center;\" width=\"171\">2 (1.9%)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"80\"><\/td>\n<td style=\"text-align: center;\" width=\"201\"><\/td>\n<td style=\"text-align: center;\" width=\"154\">73<\/td>\n<td style=\"text-align: center;\" width=\"165\">35<\/td>\n<td style=\"text-align: center;\" width=\"171\">108<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Duration of Hospitalization and Co-morbid Illness<\/strong><\/p>\n<p>Patients hospitalized for more than 7 days represented 54.6% (59\/108) of the total cases, indicating that prolonged hospital stays were associated with a higher incidence of <em>Acinetobacter<\/em> infections (Table 2). Additionally, 54.6% of the patients had comorbid illnesses, further suggesting that <em>Acinetobacter<\/em> infections are more prevalent in patients with pre-existing health conditions.<\/p>\n<p><strong>Antibiotic Susceptibility Test<\/strong><\/p>\n<p>Antibiotic resistance patterns revealed significant resistance to commonly used antibiotics. Resistance rates for cephalosporins (cefepime, cefotaxime, ceftazidime) ranged from 70.3% to 81.4%, while 71.3% of isolates were resistant to gentamicin, and 77% were resistant to cefepime (Figure 2). Ciprofloxacin and amikacin also exhibited high resistance rates at 62% and 68%, respectively. In contrast, levofloxacin and meropenem demonstrated the highest sensitivity, with 81.5% of isolates susceptible to these antibiotics. Notably, all isolates were sensitive to colistin and tigecycline, making them the most reliable options for treating <em>Acinetobacter<\/em> infections in this study.<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 19.687%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-65983\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2.jpg 679w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 80.313%;\"><strong>Figure 2:<\/strong> <strong>Antibiotic sensitivity pattern of <em>Acinetobacter<\/em> isolates<\/strong><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig2.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Synergy Testing<\/strong><\/p>\n<p>The results of synergy testing with ceftazidime-avibactam and aztreonam (Figure 3) were encouraging, as all tested multidrug-resistant (MDR) isolates showed reduced minimum inhibitory concentrations (MICs), indicating that this combination therapy could be a promising option for treating MDR <em>Acinetobacter<\/em> infections. This finding is particularly significant given the high resistance to other commonly used antibiotics.<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 19.687%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-65984\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3.jpg 747w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 80.313%;\"><strong>Figure 3<\/strong>: <strong>Synergy testing with ceftazidime-avibactam and aztreonam E-strip.<\/strong><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/05\/Vol18No2_Eme_Bin_Fig3.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Discussion<\/strong><\/p>\n<p><em>Acinetobacter<\/em> infections have emerged as a significant threat in healthcare settings, particularly in intensive care units.<sup>13<\/sup> These infections commonly manifest as ventilator-associated pneumonia, bacteremia, and urinary tract infections.<sup>14<\/sup> The prevalence of <em>Acinetobacter<\/em> pneumonia is higher in Asian and European hospitals compared to the United States.<sup>13<\/sup> Multidrug-resistant strains pose a significant challenge, with resistance rates varying geographically.<sup>13,15<\/sup> The mortality rate associated with <em>Acinetobacter<\/em> infections is high, reaching 45% in some studies.<sup>14<\/sup><\/p>\n<p>In our study,the majority of the isolates were <em>A .baumannii (95.3 %)<\/em><em>, <\/em>and 5 were Acinetobacter lwoffii (4.6 %), similar to a study.<sup>16<\/sup> The high prevalence of A .baumannii has highlighted the prominence of this species in hospital-acquired infections. Infections in our study were more prevalent in males (67.6) than females, similar to many studies.<sup>6, 17,18<\/sup> The predominance of male patients may reflect underlying health behaviors or greater exposure to healthcare interventions, such as mechanical ventilation, that predispose to infection.<\/p>\n<p>In the present study, the infections were more common among the age group &gt; 50 years, and patients with <em>Acinetobacter<\/em> infections tend to have longer hospital stays than those without infections.This demographic distribution is consistent with previous research, which suggests that older adults,<sup>6<\/sup> particularly those with underlying comorbidities,<sup>19<\/sup> are more susceptible to <em>A. baumannii<\/em> infections.<\/p>\n<p><em>Acinetobacter<\/em> infections are growing in intensive care units (ICUs), particularly in Asia and Europe.<sup>13<\/sup> The prevalence of <em>Acinetobacter<\/em> infections in ICUs ranges from 11.7% to 30.8%.<sup>19- 20<\/sup> \u00a0Out of 108 isolates studied, 41(38 %) were from ICU patients.<em> A. baumannii<\/em> infection was more pronounced in the ICU than in other wards, this is in concordance with other studies.<sup>6,9 <\/sup>Most of the patients in the ICU have an immunocompromised state, due to this, it&#8217;s associated with increased length of stay in ICUs.<sup>19 <\/sup><em>Acinetobacter<\/em> species were recovered from respiratory samples (ET aspirate (36.1%) and sputum (34.2%) followed by wound samples, indicating a high prevalence of respiratory infections similar to some studies.<sup>21<\/sup> \u00a0In this <strong>s<\/strong>tudy, the isolation rates of <em>Acinetobacter<\/em> in ET aspirate and sputum are 36.1% and 34.2% similar to another study,<sup>22 <\/sup>with isolation rates ranging from 31.3% to 46%. These nosocomial infections primarily affect the respiratory tract of intubated patients, with medical patients being more susceptible to lung infections, especially late-onset ventilator-associated pneumonia.<sup>23<\/sup> The high prevalence of <em>A. baumannii<\/em> in ICU patients underscores the need for stringent infection control measures, particularly in respiratory care settings where ventilator-associated pneumonia is a significant concern. Adopting rigorous hand hygiene, equipment sterilization protocols, and antimicrobial stewardship programs is essential to limit the spread of MDR strains\u200b.<\/p>\n<p>Multidrug-resistant strains are common, with high resistance to penicillins, cephalosporins, and even extended-spectrum antibiotics.<sup>19<\/sup> Previously multidrug resistance was found in 60\u201380% of isolates, with strong resistance to carbapenems, cephalosporins, and other widely used antibiotics.<sup>6,24<\/sup> While carbapenems were traditionally the treatment of choice, increasing resistance has led to the reintroduction of polymyxins (colistin and polymyxin B) and the use of tigecycline. The retained sensitivity to levofloxacin (81.5%) and meropenem (81.5%) is a positive finding, but the increasing reports of carbapenem resistance in other regions suggest that continued surveillance is essential. Studies have shown varying susceptibility rates to these antibiotics\u00a0and reported high susceptibility to colistin (99.2%) and polymyxin B (100%), with 94% susceptibility to tigecycline.<sup>25 <\/sup>One of the most significant findings of this study is the complete sensitivity of all isolates to colistin and tigecycline. However, the global rise of colistin-resistant <em>A. baumannii<\/em> warrants caution, as resistance to this last-resort antibiotic could severely limit treatment options. To combat this threat, strict infection control practices and appropriate antibiotic policies must be implemented in ICUs.<sup>26,27<\/sup><\/p>\n<p>The ability of ceftazidime-avibactam+aztreonam to reduce the MICs of <em>Acinetobacter baumanii<\/em> and MBL-producing <em>Pseudomonas aeruginosa<\/em> is a potentially promising therapeutic option when faced with growing antimicrobial resistance which is evident from \u00a0present study. All MDR isolates subjected to the ceftazidime-avibactam+aztreonam synergy test were sensitive. In case of the limited options available for MDR infections, this combination should be further explored in clinical trials to validate its efficacy.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>This study confirms the predominance of <em>A. baumannii<\/em> as a major pathogen in ICU settings, with a significant proportion of isolates exhibiting multidrug resistance. The high resistance to commonly used antibiotics highlights the need for alternative therapeutic strategies. The sensitivity of all isolates to colistin and tigecycline supports their continued use in managing MDR infections, while the potential of combination therapies with ceftazidime-avibactam and aztreonam warrants further investigation. Future research should explore the genetic mechanisms driving resistance in <em>A. baumannii<\/em> and evaluate the efficacy of novel combination therapies in clinical settings. Such infection and resistance development to antibiotics can be prevented by hospital infection control practices, strengthening of antimicrobial stewardship program, and implementation of antimicrobial surveillance strategies.<\/p>\n<p><strong>Acknowledgment<\/strong><\/p>\n<p>We thank the management, Department of Microbiology, Sree Balaji Medical College and Hospital, and technicians for their work support.<\/p>\n<p><strong>Funding Sources<\/strong><\/p>\n<p>The author(s) received no financial support for the research, authorship, and\/or publication of this article.<\/p>\n<p><strong>Conflict of Interest<\/strong><\/p>\n<p>The author(s) do not have any conflict of interest.<\/p>\n<p><strong>Data Availability Statement<\/strong><\/p>\n<p>This statement does not apply to this article.<\/p>\n<p><strong>Ethics Statement<\/strong><\/p>\n<p>The study was approved by our Institutional Human Ethics Committee (SBMCH\/002\/SBMCH\/IEHC\/1828).<\/p>\n<p><strong>Informed Consent Statement<\/strong><\/p>\n<p>This study did not involve human participants, and therefore, informed consent was not required.<\/p>\n<p><strong>Clinical Trial Registration<\/strong><\/p>\n<p>This research does not involve any clinical trials<\/p>\n<p><strong>Permission to reproduce material from other sources<\/strong><\/p>\n<p>Not Applicable<\/p>\n<p><strong>Authors Contributions<\/strong><\/p>\n<ul>\n<li>Bindu: Conceptualised and designed the study, and drafted the article<\/li>\n<li>Chitralekha Saikumar: reviewed the article<\/li>\n<li>Risha Mynooah collected and interpreted the data including the pictures<\/li>\n<\/ul>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Wong D, Nielsen TB, Bonomo RA, Pantapalangkoor P, Luna B, Spellberg B. 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Nosocomial\u00a0Acinetobacter\u00a0Infections in Intensive Care Unit.\u00a0<em>American Journal of Infectious Diseases. <\/em>2013;9(2):40-45. https:\/\/doi.org\/10.3844\/ajidsp.2013.40.45<br \/>\n<a href=\"https:\/\/doi.org\/10.3844\/ajidsp.2013.40.45\" target=\"_blank\" rel=\"noopener\">CrossRef<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Acinetobacter species, particularly Acinetobacter baumannii(A .baumannii), have emerged as  [&#8230;]<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[127],"tags":[],"class_list":["post-65977","post","type-post","status-publish","format-standard","hentry","category-vol18no2"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/65977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=65977"}],"version-history":[{"count":5,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/65977\/revisions"}],"predecessor-version":[{"id":66892,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/65977\/revisions\/66892"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=65977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=65977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=65977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}