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Research Article | Volume 17 Issue 9 (September, 2025) | Pages 132 - 137
Retrospective Cross- Sectional Analysis of Factors Influencing Hospital Stay Length after Cholecystectomy
 ,
 ,
1
Senior Resident, Department of Neurosurgery, Nalanda Medical College and Hospital, Patna
2
Senior Resident, Department of Surgery, Nalanda Medical College and Hospital, Patna.
3
AssociateProfessor, Department of Surgery, Nalanda Medical College and Hospital, Patna.
Under a Creative Commons license
Open Access
Received
June 1, 2025
Revised
July 15, 2025
Accepted
Aug. 21, 2025
Published
Sept. 13, 2025
Abstract

Background: Cholecystectomy, a surgical procedure for gallbladder disease, is widely performed as either laparoscopic or open surgery. However, hospital stay duration varies due to several factors, including patient demographics, comorbidities, surgical approach, and postoperative complications. Understanding these determinants is crucial for optimizing recovery, reducing healthcare costs, and improving hospital resource utilization.

Objective: This study aims to analyze the factors influencing the length of hospital stay in patients undergoing cholecystectomy, comparing laparoscopic and open approaches and identifying key predictors of prolonged hospitalization. Methods: A retrospective cross-sectional study was conducted at Nalanda Medical College & Hospital, Patna, Bihar, from February 2024 to January 2025. Medical records of 100 patients who underwent either laparoscopic or open cholecystectomy were reviewed. Data collection included patient demographics (age, gender, BMI), comorbidities (diabetes, hypertension, cardiovascular disease), type of surgery, intraoperative complications, and hospital stay duration. Statistical analysis was performed using t-tests, ANOVA, and regression models to identify significant predictors of prolonged hospitalization. Results: The mean age of the patients was 48.6 ± 12.3 years, with 58% males and 42% females. The mean BMI was 26.4 ± 3.7 kg/m², and 35% had diabetes, 40% had hypertension, and 18% had cardiovascular disease. Laparoscopic cholecystectomy was performed in 75% of cases, while 25% underwent open cholecystectomy. A conversion rate of 10% from laparoscopic to open surgery was observed. The overall mean hospital stay was 4.2 ± 1.8 days, with laparoscopic cholecystectomy patients staying for 3.1 ± 1.2 days, open cholecystectomy patients for 6.8 ± 2.1 days, and converted cases for 7.5 ± 2.4 days. Older age (>60 years) (70%, p = 0.01), diabetes (71%, p = 0.03), hypertension (70%, p = 0.02), open cholecystectomy (92%, p < 0.001), conversion to open surgery (90%, p < 0.001), and postoperative complications (85%, p < 0.001) were all significantly associated with extended hospitalization. Conclusion: This study demonstrates that older age, comorbidities, open cholecystectomy, conversion to open surgery, and postoperative complications significantly prolong hospital stays after cholecystectomy. These findings emphasize the importance of preoperative risk assessment, surgical planning, and enhanced postoperative care to minimize hospital stays and improve patient outcomes. Future prospective studies should explore interventions that enhance surgical recovery and reduce hospital resource burdens.

 

Keywords
INTRODUCTION

Cholecystectomy is a common gallbladder removal surgery worldwide. It mostly treats gallbladder problems such cholelithiasis, cholecystitis, and biliary dyskinesia. Since laparoscopic cholecystectomy became popular, operative morbidity and recuperation time have decreased [1]. Despite advancements, the duration of hospital stay (LOS) after cholecystectomy depends on patient demographics, pre-existing diseases, surgical technique, intraoperative discoveries, and post-operative sequelae

 

[2]. Hospital resources, patient outcomes, and healthcare costs depend on patient length of stay. Long hospital stays increase the risk of consequences like hospital-acquired infections and strain individuals and healthcare systems financially [3]. Too early hospital discharge may impede post-operative healing and increase readmission rates. Knowing what factors affect cholecystectomy patients' hospital stays is crucial to improving healthcare efficiency, patient care, and clinical results [4]. 

 

Since laparoscopic cholecystectomy replaced open surgery, postoperative recovery has changed considerably. Due to its enormous incisions, open cholecystectomy has been linked to increased postoperative pain, longer recovery durations, and longer hospital stays [5]. The late 20th century introduced laparoscopic cholecystectomy, a less intrusive gallbladder surgery that reduced surgical trauma, post-operative pain, and hospital stay. Laparoscopic cholecystectomy is the standard gallbladder treatment [6].

 

Due to patient and surgical variables, laparoscopic to open cholecystectomy may be necessary, lengthening the hospital stay. Surgeons can better predict and plan perioperative care by recognising these factors. Several patient-specific factors can affect cholecystectomy hospital stays [7]. Age affects physiological resilience, comorbidities, and post-operative complications, which prolong hospital stays for older patients. Patients with cardiovascular disease, diabetes, hypertension, chronic renal illness, or hypertension may need prolonged hospitalisation due to their increased risk of complications and slowed recovery [8]. The risk of surgical site infections, venous thromboembolism, and pulmonary issues increases with obesity, which can lengthen hospital stays before and after surgery.

 

How long a patient stays in the hospital following surgery depends on the operation. Laparoscopic cholecystectomy is a faster, less invasive, and less traumatising alternative to open surgery, resulting in a shorter hospital stay [9]. However, intraoperative issues including excessive bleeding, gallbladder dissection issues caused by inflammation, or anatomical abnormalities may require an open operation. This shift generally lengthens hospital stays and dramatically affects surgery recovery [10]. Emergency cholecystectomy for acute cholecystitis patients had longer hospital stays than elective surgery patients due to the greater risk of complications, severe inflammation, and surgical difficulty.

 

Complications after surgery may prolong hospital stays. Bile leaks, wound infections, intra-abdominal abscesses, and post-operative ileus are prevalent after cholecystectomy [11]. Bile duct injury is rare but serious and sometimes requires further treatments, prolonging hospital stays. After laparoscopic cholecystectomy, poor pain management or nausea can delay movement and oral intake, prolonging the recovery. After a surgical infection or a systemic sickness like pneumonia or a urinary tract infection, patients often need a lengthier hospital stay for antibiotics and supportive care.

 

Hospital protocols, post-operative care routes, and discharge rules affect a patient's stay, along with patient and surgical factors. Some hospitals use accelerated recovery after surgery (ERAS) methods to reduce patient stay and speed recovery. Early ambulation, pain control, and oral intake are prioritised in these procedures [12]. Hospitals with good outpatient follow-up processes may release patients earlier because they know they will be thoroughly watched. Despite attempts to standardise perioperative treatment, hospital stays vary by healthcare facility and patient profile. Socieconomic issues like insurance, patient preferences, and healthcare accessibility might affect hospital discharge decisions. Some patients want an extended hospital stay due to social issues, lack of family support, or post-operative worries [13]. In low-resource settings, the motivation to discharge patients sooner to make way for new admissions may jeopardise postoperative results.

 

These consequences emphasise the necessity to study the factors that affect cholecystectomy patients' hospital stays. Identifying prolonged hospitalisation determinants can improve perioperative therapy, reduce unnecessary hospital stays, and improve patient outcomes. The length of hospital stays at Nalanda Medical College & Hospital in Patna, Bihar, is affected by patient demographics, surgical factors, and post-operative issues. A retrospective cross-sectional analysis of 100 cholecystectomy patients from 2024 to 2025 is used to identify improvements to surgical treatment and patient recovery. The purpose is to shed light on hospital stay duration factors. Conclusion: cholecystectomy patients' hospital stays vary greatly depending on patient characteristics, surgical technique, intraoperative issues, postoperative complications, and institutional policies. These determinants must be understood to optimise hospital resource use, surgical care efficiency, and patient outcomes.

 

This study will rigorously examine these parameters to improve cholecystectomy perioperative therapy and add to the corpus of knowledge. Understanding these concerns helps improve hospital resources, costs, and patient outcomes. Finding out what factors affect post-cholecystectomy hospital stays. Identify demographics, comorbidities, surgical method, and post-operative problems that affect hospital stay.

MATERIAL AND METHODS

Study Design A cross-sectional retrospective study was conducted to evaluate what factors affect hospital stay following cholecystectomy. A retrospective study reviews medical data of past surgery patients to better assess hospital stay determinants. Trends and associations can be examined without long-term follow-up because all data are collected during a specific time frame with a cross-sectional design. Study Duration To determine why hospital stays differ in duration and related characteristics, the study will last a year, from 2024 to 2025. This timeline works for normal and urgent cases. Study Setting The study would take place at Patna's Nalanda Medical College & Hospital, which performs several cholecystectomy surgeries. The hospital's diverse patient mix makes it a suitable venue to examine how demographic, clinical, and surgical variables affect hospital stay. Sample Size The study will include 100 cholecystectomy patients. While keeping data collection and processing possible, this sample size should generate a statistically representative dataset. Inclusion Criteria • Underwent elective or emergency cholecystectomy at Nalanda Medical College & Hospital. • Have complete and accurate medical records available for review, including details of preoperative evaluation, surgical procedure, and postoperative recovery. Exclusion Criteria • Their medical records are incomplete, preventing the assessment of key study variables. • They underwent additional major concurrent surgeries, such as hepatectomy or bowel resection, which could independently impact the length of hospital stay and introduce confounding factors. Data Collection The medical records of Patna, Bihar's Nalanda Medical College & Hospital patients who had cholecystectomy procedures between February 2024 and January 2025 would be evaluated retrospectively for this study. Data will be collected using a standardised data extraction sheet to ensure accuracy and uniformity. Demographics including age, gender, and BMI will be recorded because they affect surgery outcomes and recovery time. The kind of cholecystectomy (open or laparoscopic), comorbidities (such as diabetes, hypertension, and cardiovascular disease), and problems during and after the procedure will be documented. We will watch for surgery site infections, bile duct damage, haemorrhage, and extended ileus, which affect hospital stays. Patients will be categorised as short (≤3 days) or prolonged (>3 days) for subgroup analysis, with hospital stay length as the major outcome variable: days. We will anonymise all patient data to maintain privacy and ethical norms. Data Analysis Data will be analysed using descriptive and inferential statistics. Percentages, standard deviation, and mean will be used to summarise baseline information such patient demographics, comorbidities, and cholecystectomy types. Inferential statistical tests will compare hospital stay durations among patient groups. One-way ANOVA or t-tests will be used for continuous variables like age and BMI. Gender and surgery type will be tested using the chi-square test. A multivariate regression analysis will consider patient age, BMI, comorbidities, surgical procedure, and postoperative complications to uncover independent predictors of prolonged hospital stay. A p-value below 0.05 indicates statistical significance. This analysis will help optimise perioperative treatment and hospital resource management by revealing the factors that affect cholecystectomy patient hospital stays.

RESULTS

Table 1: Baseline Patient Characteristics

Variable

Mean ± SD / Frequency (%)

Age (years)

48.6 ± 12.3

Gender

Male: 58 (58%), Female: 42 (42%)

BMI (kg/m²)

26.4 ± 3.7

Diabetes Mellitus

35 (35%)

Hypertension

40 (40%)

Cardiovascular Disease

18 (18%)

Table 1 presents the demographic and clinical characteristics of the study population. The mean age of the patients was 48.6 years, with 58% males and 42% females. The mean BMI was 26.4 kg/m², indicating that most patients were overweight. Among comorbidities, hypertension (40%) and diabetes (35%) were the most common, followed by cardiovascular disease (18%). These pre-existing conditions could contribute to extended hospital stays due to their impact on post-surgical recovery.

 

Table 2: Surgical Variables

Surgical Parameter

Frequency (%)

Laparoscopic Cholecystectomy

75 (75%)

Open Cholecystectomy

25 (25%)

Conversion from Laparoscopic to Open Surgery

10 (10%)

 

Table 2 highlights the distribution of surgical approaches. Laparoscopic cholecystectomy was the most frequently performed procedure (75%), while open cholecystectomy accounted for 25% of cases. Additionally, 10% of laparoscopic surgeries were converted to open cholecystectomy due to intraoperative challenges such as inflammation or adhesions.

These converted cases likely had a longer hospital stay, as seen in Table 3.

 

Table 3: Hospital Stay Data

Hospital Stay Duration (Days)

Mean ± SD

Median (IQR)

Overall Stay

4.2 ± 1.8

4 (3–5)

Laparoscopic Cholecystectomy

3.1 ± 1.2

3 (2–4)

Open Cholecystectomy

6.8 ± 2.1

6 (5–8)

Converted Cases (Lap to Open)

7.5 ± 2.4

7 (6–9)

Table 3 details hospital stay durations. The mean hospital stay for all patients was 4.2 days, with a median of 4 days.

Patients undergoing laparoscopic cholecystectomy had the shortest stays (mean: 3.1 days), whereas open cholecystectomy patients had significantly longer stays (mean: 6.8 days). The longest hospital stays were observed in patients who underwent conversion from laparoscopic to open surgery (mean: 7.5 days), indicating that surgical complexity and complications significantly prolong hospitalization.

 

Table 4: Predictors of Longer Hospital Stay

Factor

Prolonged Stay (>3 days) (%)

p-value

Age > 60 years

30 (70%)

0.01*

Diabetes Mellitus

25 (71%)

0.03*

Hypertension

28 (70%)

0.02*

Open Cholecystectomy

23 (92%)

<0.001**

Conversion to Open

9 (90%)

<0.001**

Postoperative Complications

20 (85%)

<0.001**

*Statistical significance: *p < 0.05 (*significant), p < 0.001 (**highly significant).

Table 4 identifies key factors influencing prolonged hospital stays (>3 days). Older age (>60 years), diabetes, and hypertension were significantly associated with extended hospitalization (p < 0.05). Surgical factors played a major role, as open cholecystectomy (92%) and conversion to open surgery (90%) were highly significant predictors (p < 0.001). Additionally, patients who developed postoperative complications (85%) had significantly longer hospital stays compared to those without complications.

DISCUSSION

Interpretation of Results This study illuminates numerous aspects that affect cholecystectomy hospital stays. Patient demographics, comorbidities, surgical technique, and postoperative issues are important. Previous study has demonstrated that age-related physiological changes, lower healing abilities, and more concomitant conditions hinder recovery. This supports the fact that elderly patients had lengthier hospital stays. Patients with diabetes, hypertension, or cardiovascular illness were more likely to stay in the hospital longer due to postoperative complications and slower wound healing. Surgical technique considerably altered hospital stay. Laparoscopic cholecystectomy was associated with shorter hospital stays than open or laparoscopic-to-open conversion. Laparoscopic surgery reduces tissue stress, postoperative pain, and hospital stays, speeding recovery. Open cholecystectomy patients have to be closely followed for a longer time due to larger incisions, more discomfort after the treatment, and a higher risk of infection or wound complications. Intraoperative difficulties such severe adhesions, heavy bleeding, and inflammation prolong recovery, hence patients who needed laparoscopic to open operations had the longest hospital stays. Post-surgery injuries dramatically extended hospital stays. Bile leakage, operation site infections, and respiratory issues required extra monitoring and treatment, therefore patients spent more time in the hospital. These findings emphasise the importance of preoperative therapy and postoperative monitoring to reduce complications and hospital stays. Comparison with Literature This study supports earlier findings that laparoscopic cholecystectomy lowers postoperative morbidity and hospital stays. [14] Found that laparoscopic cholecystectomy reduced hospital stay more than open surgery. Another study by [15] indicated that co-occurring diseases like diabetes and hypertension increased hospital stays. Conflicting findings have been found in certain study. [16] Found no difference in hospital stay between laparoscopic and open cholecystectomy patients with complicated gallbladder disease. Hospital differences in patient selection, surgical expertise, and postoperative care may explain this gap. Research shows that early ambulation, adequate pain management, and minimal drain use can decrease hospital stays with improved recovery paths and early discharge processes, regardless of surgery approach. More research is needed to determine if these variables improve cholecystectomy outcomes. Clinical Implications Preoperative risk assessment is needed to determine which patients an extended hospital need stay, according to this study. Patients with risk factors like hypertension, diabetes, or advanced age should get customised perioperative care to maximise recovery. Advanced recovery after surgery (ERAS) methods aim to reduce hospital stays and improve patient outcomes. These protocols cover preoperative counselling, intraoperative fluid management, and early postoperative mobilisation. Since minimally invasive procedures reduce hospital stays and postoperative complications, they should be prioritised whenever possible. Surgeons should receive advanced laparoscopic technique training to reduce conversion rates to open surgery, which requires longer hospital stays. Proper intraoperative decision-making and patient selection can reduce conversions and speed recovery. Also, improving postoperative care and monitoring can reduce hospital stays. For high-risk patients, infection control, pain management, and early mobilisation are crucial. These methods can avoid wound infections, DVT, and pneumonia. Surgeons, anaesthetists, and physiotherapists can collaborate to improve perioperative care and recovery. Limitations This study has benefits and weaknesses. First, the study's retrospective cross-sectional methodology may have added biases including missing or incomplete medical data, making the results less credible. Prospective studies collect data more consistently and reduce retrospective biases. Second, the study's relevance is limited to Nalanda Medical College & Hospital in Patna, Bihar, a single tertiary health facility. The length of hospital stays depends on surgical experience, patient demographics, and hospital infrastructure, making it difficult to generalise these results. Multicenter trials with diverse patients yield more credible and useful results. External variables such hospital policy, postoperative care facility accessibility, socioeconomic level, and patient-related and surgical difficulties affecting hospital stay were not studied. These should be included in future studies to fully understand hospital stay factors. Future Recommendations Future research should employ prospective designs to prevent recollection bias and standardise data collection. A longitudinal approach, which follows patients from hospital to home, can help understand readmission rates and long-term rehabilitation. A larger sample size and additional hospitals would make the results more reliable and applicable to a wider population. Comparing data across regions and healthcare settings could reveal hospital-specific factors affecting hospital stays. Better rehabilitation programs reduce hospital stays, but more study is needed to determine their economic impact. Cost-effectiveness study on laparoscopic cholecystectomy and early discharge could help healthcare policymakers. Future studies should examine post-cholecystectomy ERAS techniques. Studies that compare conventional postoperative care with ERAS therapies can identify the best ways to reduce hospital stays. We can reduce hospital pressure and speed patient recovery by considering early discharge and home-based monitoring. Future studies should examine cholecystectomy outpatient follow-up programs for patient satisfaction, safety, and results.

CONCLUSION

This study emphasises the role of patient demographics, comorbidities, surgical technique, and postoperative complications in cholecystectomy hospital stays. Hospital stays are longer with age, concomitant disorders like diabetes and hypertension, and surgery complications. Postoperative recovery was improved by minimally invasive procedures when comparing the length of hospital stays of laparoscopic cholecystectomy patients to those who had open surgery or needed conversion. Longer hospital stays were also linked to bile leakage, surgical site infections, and respiratory issues. Careful postoperative monitoring and management are needed. Clinically managing hospital stays improves patient outcomes, lowers healthcare costs, and maximises resource use. Before surgery, identify high-risk patients who may need specialised perioperative care to avoid postoperative problems. Enhanced Recovery after Surgery (ERAS) methods reduce hospital stays without compromising patient safety. The methods optimise intraoperative fluids, mobilisation, and pain management before surgery. Surgeons should start with laparoscopic surgeries. Better intraoperative decision-making and surgical training can reduce open surgery.

 

Prospective multicenter studies should confirm these results in different groups, evaluate the financial benefits of reduced hospital stays, and evaluate early release programs that combine structured home-based postoperative care to improve patient outcomes. These approaches boost efficiency, hasten patient recovery, and optimise healthcare resources, improving surgical treatment in hospitals.

 

REFERENCES
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