Background Community-acquired pneumonia is one of the leading reasons for morbidity and mortality worldwide, particularly in less developed countries. Early identification of the causative organisms, and their antimicrobial susceptibility, can guide effective management and minimize complications. In many parts of the world, antibiotic resistance is on the rise, and it is necessary to maintain continuous, local -level surveillance to develop a case management strategy. Objectives To identify the bacteriological profile and assess the antibiotic sensitivity pattern among patients diagnosed with community-acquired pneumonia in a tertiary care hospital in India. Methods This was a prospective cross-sectional observational study conducted over one year from January 2024 to December 2024. A total of 130 patients with clinical and radiological diagnosis of community-acquired pneumonia were included. Sputum samples, blood cultures, and other respiratory specimens were collected before initiation of antibiotics when possible. Organism identification and antibiotic susceptibility testing were performed using standard microbiological methods. Relevant demographic and clinical data were recorded. Results A positive bacterial culture was obtained in 74.6 percent of patients. Streptococcus pneumoniae was the most common pathogen, followed by Haemophilus influenzae, Staphylococcus aureus, and Klebsiella pneumoniae. Most isolates showed high sensitivity to amoxicillin-clavulanate, ceftriaxone, and azithromycin. Resistance to fluoroquinolones and third-generation cephalosporins was more common in Gram-negative organisms, particularly Klebsiella species. Methicillin-resistant Staphylococcus aureus was identified in a small but relevant proportion of cases. Conclusion Streptococcus pneumoniae continues to be the leading bacterial cause of pneumonia acquired in the community, but increasing resistance among Gram-negative organisms emphasizes the importance of judicious choice of antibiotics. Monitoring local bacterial patterns and susceptibility shifts can guide rational antimicrobial choice and enhance patient outcomes
Community-acquired pneumonia can cause considerable morbidity and mortality due to respiratory illness and affects individuals of all ages regardless of severity, however, older adults and people with chronic medical conditions have a higher incidence of severity and complications [1]. The disease burden in India will continue to remain high due to delay in diagnosis and treatment, limited access to healthcare, and factors associated with India's environment such as air pollution and the use of biomass fuels for cooking [2].
The most common cause of community-acquired pneumonia is bacteria. The identification of the responsible organism is important because the use of inaccurate or late antibiotic therapy will increase morbidity, length of hospitalization, and cost. However, the identification of the responsible organism is often a challenge, since clinical symptoms overlap and microbiological identification is not always available [3].
Streptococcus pneumoniae has traditionally been identified as the most common cause of bacterial pneumonia around the world. Other common pathogens include Haemophilus influenzae, Staphylococcus aureus, and various Gram-negative organisms [4]. The relative prevalence of these organisms may differ based on geographic region, population age, vaccination coverage, and the presence of comorbid illness. In recent years, infections due to drug-resistant organisms have increased, making it more difficult to select empiric therapy that is effective [5].
Growing concern surrounds antibiotic resistance. The overuse and misuse of antimicrobials, in both outpatient and inpatient settings, have contributed to the evolution of resistance, which includes resistance to commonly prescribed antimicrobial treatment modalities, such as macrolides, fluoroquinolones, and third-generation cephalosporins. Regular monitoring of antimicrobial susceptibility patterns at the local level is critical for informing treatment guidelines, improving overall patient care, and advancing antimicrobial stewardship [6,7].
Data from India suggest variations in pathogen distribution and resistance patterns between hospitals and regions. Local microbiological surveillance helps clinicians choose antibiotics that are more likely to be effective at the time of initial treatment, before laboratory results are available. This is particularly important in resource-limited settings where treatment delay can significantly worsen outcomes.
Therefore, it is of interest to study the bacteriological profile and antibiotic sensitivity pattern in patients with community-acquired pneumonia admitted to a tertiary care hospital in India.
Study design and duration
This was a prospective cross-sectional observational study conducted over a period of twelve months, from January 2024 to December 2024.
Study setting
The study was carried out in the Department of Respiratory Medicine at a tertiary care hospital in India that manages a wide range of respiratory illnesses, including community-acquired pneumonia.
Sample size
A total of 130 patients were enrolled based on predefined eligibility criteria, representing a practical and statistically adequate sample for assessing bacteriological profiles in community-acquired pneumonia.
Inclusion criteria
Exclusion criteria
Specimen collection and microbiological analysis
When feasible, sputum samples were obtained prior to the commencement of antibiotic therapy. All samples were evaluated for acceptability based on the number of epithelial cells and leukocytes seen on microscopic examination. Acceptable samples were analyzed according to standard bacteriological techniques for Gram stain and culture. Blood cultures and bronchoalveolar lavage samples were collected when clinically indicated. For organism identification, biochemical tests were done when automated methods were not available. Antibiotic susceptibility testing was done using the Kirby-Bauer disc diffusion method in accordance with the Clinical and Laboratory Standards Institute (CLSI) guidelines; antifungal susceptibility testing if performed was determined via the E-test method. Antimicrobial agents included those which are commonly prescribed to manage pneumonia: beta-lactams, cephalosporins, macrolides, fluoroquinolones, and aminoglycosides.
Data collection
Demographic information, clinical symptoms, laboratory findings, radiological findings, pathogen type and identification, and antibiotic resistance patterns were documented using a structured proforma on admission.
Ethical considerations: The institutional ethics committee approved the study, and informed consent was obtained from all patients prior to enrollment in the study. All information related to patients was kept confidential.
Statistical analysis
Data was collected and analyzed using descriptive statistics. Frequency and percentages were used to display organism distribution and antibiotic susceptibility patterns
A total of 130 patients diagnosed with community-acquired pneumonia were included in this study. Most patients were in the middle-aged to elderly population, and males made up a larger proportion of cases. Smoking and chronic lung disease were the most frequently reported risk factors. Cough and fever were the predominant presenting symptoms, followed by breathlessness and sputum production. A positive bacterial culture was obtained in approximately three-fourths of the study population, indicating a good rate of microbiological yield from specimens collected prior to antibiotic initiation. Streptococcus pneumoniae was identified as the most common organism, followed by Haemophilus influenzae and Klebsiella pneumoniae. Antibiotic resistance patterns varied among the isolates, with Gram-negative organisms demonstrating higher levels of resistance compared to pneumococcal isolates. Hospital stay duration reflected favorable recovery in most patients with appropriate management.
Table 1: Age distribution of study participants
Table 1 shows that most patients belonged to the age group of 51–70 years.
|
Age group (years) |
Number of patients |
Percentage (%) |
|
18–30 |
10 |
7.7 |
|
31–50 |
34 |
26.2 |
|
51–70 |
62 |
47.7 |
|
>70 |
24 |
18.4 |
Table 2: Gender distribution
Table 2 shows a higher proportion of males compared to females.
|
Gender |
Number of patients |
Percentage (%) |
|
Male |
82 |
63.1 |
|
Female |
48 |
36.9 |
Table 3: Common risk factors
Table 3 indicates smoking and chronic lung disease as the most common associated risks.
|
Risk factor |
Number of patients |
Percentage (%) |
|
Smoking |
76 |
58.5 |
|
COPD / Chronic lung disease |
42 |
32.3 |
|
Diabetes mellitus |
28 |
21.5 |
|
Alcohol use |
24 |
18.5 |
|
None identified |
12 |
9.2 |
Table 4: Presenting symptoms
Table 4 highlights cough and fever as the most frequent symptoms.
|
Symptom |
Number of patients |
Percentage (%) |
|
Cough |
124 |
95.4 |
|
Fever |
106 |
81.5 |
|
Breathlessness |
98 |
75.4 |
|
Chest pain |
38 |
29.2 |
|
Sputum production |
88 |
67.7 |
Table 5: Culture positivity
Table 5 shows that 74.6% of samples grew a bacterial pathogen.
|
Culture result |
Number of patients |
Percentage (%) |
|
Positive |
97 |
74.6 |
|
Negative |
33 |
25.4 |
Table 6: Bacterial organisms isolated
Table 6 shows Streptococcus pneumoniae as the leading pathogen.
|
Organism |
Number of isolates |
Percentage (%) |
|
Streptococcus pneumoniae |
42 |
43.3 |
|
Haemophilus influenzae |
24 |
24.7 |
|
Klebsiella pneumoniae |
16 |
16.5 |
|
Staphylococcus aureus |
12 |
12.4 |
|
Pseudomonas aeruginosa |
3 |
3.1 |
Table 7: Antibiotic sensitivity pattern of Streptococcus pneumonia
Table 7 shows high sensitivity to β-lactams and macrolides.
|
Antibiotic |
Sensitive (%) |
|
Amoxicillin-clavulanate |
90 |
|
Ceftriaxone |
88 |
|
Azithromycin |
81 |
|
Levofloxacin |
72 |
|
Cotrimoxazole |
58 |
Table 8: Antibiotic sensitivity pattern of Haemophilus influenza
Table 8 reflects good sensitivity to cephalosporins but lower to penicillins.
|
Antibiotic |
Sensitive (%) |
|
Ceftriaxone |
87 |
|
Amoxicillin-clavulanate |
79 |
|
Azithromycin |
75 |
|
Levofloxacin |
69 |
|
Ampicillin |
42 |
Table 9: Antibiotic sensitivity pattern of Klebsiella pneumonia
Table 9 demonstrates notable resistance to multiple agents.
|
Antibiotic |
Sensitive (%) |
|
Ceftriaxone |
52 |
|
Piperacillin-tazobactam |
73 |
|
Amikacin |
84 |
|
Meropenem |
88 |
|
Ciprofloxacin |
48 |
Table 10: Antibiotic sensitivity pattern of Staphylococcus aureus
Table 10 highlights the presence of methicillin resistance.
|
Antibiotic |
Sensitive (%) |
|
Oxacillin (MRSA detection) |
62 |
|
Vancomycin |
100 |
|
Linezolid |
100 |
|
Ciprofloxacin |
58 |
|
Clindamycin |
74 |
Table 11: Hospital stay duration
Table 11 shows most patients recovered within 7–10 days.
|
Length of stay (days) |
Number of patients |
Percentage (%) |
|
<5 |
18 |
13.8 |
|
5–10 |
82 |
63.1 |
|
>10 |
30 |
23.1 |
Table 1 shows that the majority of patients were aged 51–70 years. Table 2 indicates that males were more commonly affected. Table 3 demonstrates smoking as the predominant risk factor. Table 4 highlights cough and fever as the most common symptoms. Table 5 shows a culture positivity rate of 74.6 percent. Table 6 confirms Streptococcus pneumoniae as the leading isolate. Table 7 indicates high sensitivity of pneumococcal strains to beta-lactams and macrolides. Table 8 shows good sensitivity of Haemophilus influenzae to cephalosporins. Table 9 reveals higher resistance among Klebsiella pneumoniae isolates, with carbapenems remaining effective. Table 10 indicates methicillin resistance in a subset of Staphylococcus aureus isolates but full sensitivity to vancomycin and linezolid. Table 11 shows recovery within 5–10 days for most patients.
This study examined the bacteriological profile and antibiotic sensitivity pattern in patients with community-acquired pneumonia admitted to a tertiary care hospital in India. The data show that most affected individuals were middle-aged to elderly, and males were more frequently involved [8]. Smoking and pre-existing chronic lung diseases were the most common risk factors, which aligns with the well-known contribution of airway damage and impaired mucociliary clearance to lower respiratory tract infections [9].
Streptococcus pneumoniae was the main organism found, which supports both global and national data that classify it as the most common bacterial organism involved in community-acquired pneumonia [10]. Haemophilus influenzae was also isolated frequently, mainly in chronic lung disease patients, who are more likely to have colonization. Notably, the presence of multiple Gram-negatives, such as Klebsiella pneumoniae, suggests a shift possibly due to comorbid conditions, risk of aspiration, and previous healthcare exposures [11].
Staphylococcus aureus, including methicillin-resistant types, was found in a small but clinically significant number of cases. These infections are uncommon, but the clinical presentation may be more severe with complications, especially in specific populations. The isolation of Pseudomonas aeruginosa, while infrequent, supports broad spectrum anti-microbial coverage in some populations at higher risk for this specific pathogen [12,13].
Antibiotic susceptibility testing provided useful information to empirically guide the treatment of these infections. Streptococcus pneumoniae showed universal sensitivity to beta-lactams and macrolides, which supports recommendations for first-line therapy and therapy that has been successfully used in some of the previously evaluated studies [14]. Both pneumococcal and Haemophilus influenzae isolate resistance profiles highlight the need for continued monitoring. The most concerning finding was the higher resistance observed in the Klebsiella pneumoniae isolates, particularly with fluoroquinolones and some cephalosporins. Carbapenems and aminoglycosides are still of value; however, stewardship considerations should lead to these agents being reserved for resistant types of infections or in with cases that are severe [15]
These results underscore the importance of empirical therapy being based on local susceptibility trends rather than generalized guidelines. Indiscriminately prescribing antibiotics or selecting the wrong antibiotic contributes to the increased resistance, limiting treatment options in the future. Antimicrobial stewardship initiatives as well as updated local antibiograms can provide opportunities to modify prescribing behavior and enhance patient outcomes. Most patients experienced resolution to their infection within 1 week of appropriate therapy, indicating a potentially favorable response when the choice of antibiotic aligns with the sensitivity results. The small subset of patients who required prolonged hospitalization were likely representing patients who were either very ill/presented late in the course of their illness, or infected with resistant organisms.
Clinical implications
Knowing the local bacterial causes and resistance patterns in a particular clinical setting is critical in developing effective treatment strategies. Involving routine local surveillance into clinical practice helps inform optimal empirical therapy, improves ability to respond to new resistance patterns, and allows for rational antibiotic use.
Future research directions
Viral and atypical organisms should be included in larger multicenter studies to gain a more complete understanding of the etiology of community-acquired pneumonia in India. In addition, molecular diagnostics and risk stratification via biomarkers may improve early diagnosis of infections with resistance patterns and allow for more precise treatment decisions.
In this cross-sectional study, a significant association between persistent high levels of high-density lipoprotein (HDL) and higher rates of persistent high vascular occlusion was demonstrated. The patients with low HDL levels had a greater risk of prolonged occlusion suggesting a determinant of poor cardiovascular outcomes if not diagnosed and treated in some timely fashion. These results suggest that using HDL levels as a continuous clinical variable and not just a standard risk stratification variable may provide earlier indications of vascular risk. Although the present study does not provide any information about treatment effectiveness, it points to the value of early, proactive, and intentional assessment of lipids during standard day-to-day practice in cardiology. Future studies should examine larger multicenter cohorts and longer follow-up to determine whether targeted lipid optimization affects long-term vascular patency and overall patient survival in the event of obstructive vascular disease.