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Original Article
10 (
1
); 37-45
doi:
10.25259/JCCC_35_2025

A Prospective Study to Assess the Impact of Diastolic Dysfunction on Post-Operative Outcomes after Coronary Artery Bypass Graft Surgery

Department of Cardiac Anesthesia, Max Super Speciality Hospital, Saket, New Delhi, India.
Department of Cardiac Anesthesiology and Critical Care, All India Institute of Medical Sciences, Cardiothoracic Center, New Delhi, India.

*Corresponding author: Vinay Kumar Sharma, Department of Cardiac Anesthesia, Max Super Speciality Hospital, Saket, New Delhi, India. drwin1987@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Sharma VK, Jangid SK, Gupta K, Manjhi SK. A Prospective Study to Assess the Impact of Diastolic Dysfunction on Post-Operative Outcomes after Coronary Artery Bypass Graft Surgery. J Card Crit Care TSS. 2026;10:37-45. doi: 10.25259/JCCC_35_2025

Abstract

Objectives:

In cardiac surgery, diastolic dysfunction (DD) is becoming a more widely acknowledged factor of unfavorable post-operative outcomes. The objective of the prospective study was to assess how DD affected the early post-operative course in patients undergoing elective coronary artery bypass graft (CABG) surgery.

Material and Methods:

This single-center prospective observational study included 75 patients who underwent elective CABG. Diastolic function (DF) was assessed preoperatively using transesophageal echocardiography, based on a simplified algorithm, with supplementary parameters including tricuspid regurgitation jet velocity and medial e’ velocity. Patients were categorized into normal and abnormal DF groups, and various intraoperative and post-operative parameters were recorded and compared.

Results:

Out of 75 patients, 59 (78.67%) had abnormal DF. These patients were significantly older (mean age 64.47 ± 7.67 years) compared to those with normal function (55.56 ± 7.02 years, P < 0.001). Echocardiographic parameters, including septal e’, lateral e’, average e’, and E/e’ ratio, showed significant impairment in the abnormal DF group (P < 0.001). Prolonged intubation time (16.84 ± 2.98 vs. 6.07 ± 1.23 h), higher vasoactive-inotropic scores (5.87 ± 4.68 vs. 2.40 ± 2.32), and prolonged intensive care unit stay (3.37 ± 1.48 vs. 2.06 ± 0.56 days) were found in DF patients (P < 0.001). Complications such as pleural effusion and atrial fibrillation were more common in the abnormal DF group.

Conclusion:

DD is prevalent among CABG patients and associated with adverse post-operative outcomes, including prolonged intubation, higher inotropic support, and increased complications. Routine pre-operative assessment of DF can help identify high-risk patients and tailor perioperative management.

Keywords

Coronary artery bypass grafting
Diastolic dysfunction
Intubation duration
Transesophageal echocardiography
Vasoactive-inotropic scores

INTRODUCTION

Heart failure (HF) is a growing global health problem associated with high morbidity, mortality, and impaired quality of life. In India, HF affects about 1% of the population – nearly 8–10 million individuals – with an annual mortality of 0.1–0.16 million.[1] Although medical therapy has improved outcomes, many patients with advanced coronary artery disease (CAD) still require surgical revascularization, most commonly coronary artery bypass grafting (CABG).

Pre-operative anesthetic evaluation is crucial for optimizing outcomes in cardiac surgery. Established risk models such as the Parsonnet score,[2,3] EURO score,[4] and Society of Thoracic Surgeons score[5] emphasize left ventricular ejection fraction (LVEF) as a marker of systolic function but often neglect diastolic dysfunction (DD), a recognized independent contributor to perioperative risk. Similarly, indices such as the Goldman Cardiac Risk Index,[6] Detsky Modified Index,[7] and Revised Cardiac Risk Index[8] consider myocardial infarction and HF but lack diastolic assessment.

DD, defined by impaired ventricular relaxation and increased stiffness, may occur despite preserved LVEF (heart failure with preserved ejection fraction) and is commonly linked with CAD, hypertension, diabetes, and ischemia.[9-11] These factors elevate left ventricular filling pressures and cause wall motion abnormalities.[12] DD independently predicts major cardiac events, prolonged ventilation, extended hospitalization, and mortality.[13,14]

Earlier, invasive methods like cardiac catheterization were used to evaluate diastolic properties, but their routine application is limited.[11,15] Doppler echocardiography has since become a reliable, non-invasive alternative for assessing diastolic filling and ventricular compliance.[16] Echocardiography also helps detect ischemic wall motion and previously unrecognized myocardial dysfunction.[17] The 2025 American Society of Echocardiography (ASE)/European Association of Cardiovascular Imaging (EACVI) guidelines have refined DD evaluation by integrating parameters such as mitral inflow velocity, tissue Doppler e’ velocity, E/e’ ratio, and left atrial volume, providing greater diagnostic accuracy and clinical relevance.[18]

While systolic dysfunction has been well studied in CABG outcomes, the influence of DD remains underexplored, particularly in the intraoperative setting. Most studies rely on pre-operative transthoracic echocardiography, leaving limited evidence on intraoperative transesophageal echocardiography (TEE) findings.[8] This prospective study aims to assess DD intraoperatively using TEE and to examine its association with early post-operative outcomes in elective CABG patients. The primary outcomes include duration of mechanical ventilation, new-onset atrial fibrillation (AF), and hospital length of stay. Secondary outcomes comprise re-intubation, respiratory complications, acute kidney injury (AKI), inotropic and vasopressor requirements, intensive care unit (ICU) readmission, and 7-day and 30-day mortality.

MATERIAL AND METHODS

Study design and setting

This prospective, hospital-based observational study was conducted in the Department of Cardiac Anesthesia at Max Hospital, New Delhi, India, between 2023 and 2024. The study aimed to evaluate the impact of DD on post-operative outcomes in patients undergoing elective CABG. Ethical approval was obtained, and written informed consent was secured from all participants before enrolment.

Patient selection

Adult patients aged above 18 years with preserved LVEF (LVEF >40%) scheduled for elective CABG were included. Exclusion criteria comprised refusal to participate, structural heart disease, chronic kidney disease, presence of a permanent pacemaker, intra-aortic balloon pump support, LVEF <40%, significant arrhythmias, recent myocardial infarction, redo-cardiac surgery, morbid obesity, pregnancy, anemia (hemoglobin <10 g/dL), or thyroid disorders.

Anesthetic management and monitoring

Anesthesia was induced and maintained following standard institutional protocols. Intraoperative monitoring included electrocardiography, invasive arterial pressure, central venous pressure (CVP), pulse oximetry, and urine output. A comprehensive TEE assessment was performed using a Philips Affiniti 50 ultrasound system by an experienced echocardiographer with more than 10 years of expertise, blinded to the study group. Echocardiographic data were acquired under stable hemodynamics, defined as <10% variation in mean arterial pressure (MAP) and heart rate.

TEE assessment

Left ventricular diastolic function (DF) was evaluated intraoperatively using standard TEE views, primarily the mid-esophageal four-chamber (ME4C) view at a 0° angle. Mitral inflow velocities – peak early (E) and late (A) diastolic velocities – were obtained using pulsed-wave Doppler with the sample volume placed at the mitral leaflet tips [Figures 1a-c]. The E/A ratio and E-wave deceleration time (DT) were calculated, with DT measured as the interval from peak E velocity to baseline on the deceleration slope.

Transesophageal image of transmitral flow velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Figure 1:
Transesophageal image of transmitral flow velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.

Tissue Doppler imaging (TDI) was used to measure lateral e’ and septal e’ velocities [Figures 2a-c and 3a-c], with the sample volume positioned just below the mitral annulus in the ME4C view. These velocities, expressed in cm/s, were used to calculate the E/e’ ratio, reflecting left ventricular (LV) filling pressures. The tricuspid regurgitation (TR) jet velocity was recorded in m/s using continuous-wave Doppler from the mid-esophageal right ventricular inflow–outflow or modified bicaval views [Figures 4a-c].

Pulsed-wave tissue Doppler imaging (PW-TDI) lateral e’ velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Figure 2:
Pulsed-wave tissue Doppler imaging (PW-TDI) lateral e’ velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Pulsed-wave tissue Doppler imaging (PW-TDI) septal e’ velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Figure 3:
Pulsed-wave tissue Doppler imaging (PW-TDI) septal e’ velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Tricuspid regurgitation systolic jet velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.
Figure 4:
Tricuspid regurgitation systolic jet velocity (a) Normal diastolic function (b) Grade I diastolic dysfunction (c) Grade II diastolic dysfunction.

DD was defined when one or more of the following abnormalities were present: Septal e’ <7 cm/s, lateral e’ <10 cm/s, or TR velocity >2.8 m/s. Grading of DD was based on abnormalities in two or more parameters (E/A ratio, average E/e’, and DT) as follows: Grade I (impaired relaxation), Grade II (pseudonormal filling), and Grade III (restrictive filling pattern).

Grouping and data collection

A total of 75 patients were included and divided into two groups: Group I (n = 16) with normal DF and Group II (n = 59) with DD [Figure 5]. Intraoperative variables such as total surgical duration, cardiopulmonary bypass time, and number of grafts were documented. Postoperatively, patients were managed in the cardiac ICU following standard protocols. Continuous monitoring included heart rate, MAP, CVP, urine output, and serial arterial blood gases.

Consort diagram.
Figure 5:
Consort diagram.

Patients were extubated once institutional weaning criteria were fulfilled. Post-extubation, oxygen was administered through face mask, and patients were monitored for respiratory and hemodynamic stability.

Observation and outcome measures

Post-operative outcomes included mechanical ventilation duration, mean of the three highest vasoactive-inotropic scores (VIS) until extubation, ICU and hospital length of stay, new-onset AF, ICU readmission, and 7- and 30-day mortality. Lower respiratory tract infections were identified on post-operative chest X-rays showing consolidation or infiltrates. Hospital stay was calculated from surgery to discharge. AKI was defined using Kidney Disease: Improving Global Outcomes (KDIGO) criteria based on serum creatinine changes. Post-extubation assessments evaluated the need for high oxygen support (HOS) and risk of reintubation using clinical, hemodynamic, and radiological findings.

Calculation of VIS

The average of the three highest VIS values recorded until extubation, which was calculated

VIS = Dopamine dose (μg/kg/min) + Dobutamine dose (μg/kg/min) + 100 × Epinephrine dose (μg/kg/min) + 100 × Norepinephrine dose (μg/kg/min) + 10 × Milrinone dose (μg/kg/min) + 10,000 × Vasopressin dose (units/kg/min).

Sample size and statistical analysis

The sample size was estimated using the following formula for hypothesis testing between two population means, with an alpha error of 0.05 and study power of 90%.

nAσB2+σA2kZ1α/2+Z1βδ22nB=knA

The calculations applied Z1-α/2 = 1.96 and Z1-β = 1.28. Standard deviations (SD) for Groups A and B were 0.056 and 0.18, respectively, and the minimum clinically significant difference (δ) in intubation time was 0.25, with a group ratio (k) of 4, yielding an initial estimate of 15 subjects.[14] To improve reliability and account for possible dropouts, the final sample size was increased to 50 participants.

Data were analyzed using Epi Info version 7.2.1.0. Categorical variables (sex, AF, reintubation, respiratory complications, HOS, and 30-day mortality) were expressed as frequencies and percentages and compared using the Chi-square or Fisher’s exact test. Continuous variables (age, body mass index [BMI], surgery duration, graft number, MAP, and LVEF) were presented as mean ± SD and analyzed using independent t-tests. A P < 0.05 was considered statistically significant.

RESULTS

In total, 80 patients were initially enrolled. Three were excluded due to intraoperative conversion to cardiopulmonary bypass and two for re-exploration. After intraoperative TEE evaluation, patients were categorized into two groups: Group I with normal DF (n = 16) and Group II with DD (n = 59). The final analysis included 75 patients who successfully underwent off-pump CABG with complete intraoperative and post-operative assessment.

Table 1 compares baseline demographic parameters between patients with normal and abnormal DF. Patients with abnormal DF were significantly older (64.47 ± 7.67 vs. 55.56 ± 7.02 years; P < 0.001). No significant differences were noted in weight, height, or BMI (P > 0.05), indicating comparable baseline characteristics.

Table 1: Comparison of demographic parameters between the groups.
Parameters Normal DF (mean±SD), n=16 Abnormal DF (mean±SD), n=59 P-value
Age 55.56±7.02 64.47±7.67 <0.001
Weight (kg) 75.1±15.32 70.5±10.43 0.164
Height (cm) 165.5±14.43 164.51±7.12 0.701
BMI (kg/m2) 27.9±8.12 26.09±3.79 0.202

DF: Diastolic function, SD: Standard deviation, BMI: Body mass index. Statistically significance is indicated by bold and P-value is <0.05. Independent ‘t’ test is used for statistical analysis.

Table 2 summarizes echocardiographic findings for both groups. There were no significant differences in E wave (P = 0.684), A wave (P = 0.862), E/A ratio (P = 0.840), or DT (P = 0.912). However, patients with abnormal DF showed significantly reduced septal e’ (6.05 ± 1.14 vs. 8.53 ± 1.42; P < 0.001), lateral e’ (7.35 ± 1.43 vs. 11.3 ± 1.42; P < 0.001), and average e’ (6.70 ± 1.2 vs. 9.91 ± 0.93; P < 0.001) [Figure 6]. In addition, the E/e’ ratio was markedly higher in the abnormal DF group (9.77 ± 2.46 vs. 6.74 ± 2.12; P < 0.001), indicating elevated filling pressures [Figure 7]. A significant increase in TR jet velocity (1.7 ± 0.7 vs. 1.28 ± 0.72; P = 0.038) was also observed [Figure 8].

Table 2: Comparison of echocardiographic measurements among study groups.
Parameters Normal DF (mean±SD), n=16 Abnormal DF (mean±SD), n=59 P-value
E (cm/s) 66.1±19.16 64.37±13.76 0.684
A (cm/s) 56.42±17.61 57.28±17.44 0.862
E/A 1.22±0.31 1.2±0.36 0.840
Septal e’(cm/s) 8.53±1.42 6.05±1.14 <0.001 (S)
Lateral e’(cm/s) 11.3±1.42 7.35±1.43 <0.001 (S)
Average e’(cm/s) 9.91±0.93 6.70±1.2 <0.001 (S)
E/e’ 6.74±2.12 9.77±2.46 <0.001 (S)
DT (ms) 182.88±37.41 183.15±20.6 0.912
TR jet Velocity (m/s) 1.28±0.72 1.7±0.7 0.038 (S)

DF: Diastolic function, SD: Standard deviation, DT: Deceleration time, TR: Tricuspid regurgitation. P-value<0.05 is statistically significant. Independent ‘t’ test is used for statistical analysis.

Comparison of echocardiographic measurements (velocities).
Figure 6:
Comparison of echocardiographic measurements (velocities).
Comparison of echocardiographic measurements (tricuspid regurgitation jet velocity).
Figure 7:
Comparison of echocardiographic measurements (tricuspid regurgitation jet velocity).
Comparison of echocardiographic measurements (ratios).
Figure 8:
Comparison of echocardiographic measurements (ratios).

Table 3 compares perioperative and post-operative parameters between patients with normal and abnormal DF. Patients with abnormal DF had significantly longer intubation times (16.84 ± 2.98 vs. 6.07 ± 1.23 h; P < 0.001 [Figure 9]), higher VISs (5.87 ± 4.68 vs. 2.40 ± 2.32; P < 0.001, [Figure 10]), and prolonged ICU stays (3.37 ± 1.48 vs. 2.06 ± 0.56 days; P < 0.001 [Figure 11]). The duration of surgery did not differ significantly (P = 0.486). Although hospital stay and packed red blood cells transfusion requirements were higher in the abnormal DF group, they were not statistically significant (P = 0.101 and P = 0.058, respectively).

Table 3: Compares perioperative and post-operative parameters in patients with normal DF and abnormal DF.
Parameters Normal DF (mean±SD), n=16 Abnormal DF (mean±SD), n=59 P-value
Duration of intubation (h) 6.07±1.23 16.84±2.98 <0.001
VIS score 2.40±2.32 5.87±4.68 <0.001
Length of ICU stay (days) 2.06±0.56 3.37±1.48 <0.001
Duration of surgery (h) 7.22±1.55 6.96±1.26 0.486
Length of hospital stay (days) 6.75±1.29 8.14±3.26 0.101
Requirement of LD PRBC (units) 2.19±1.05 3.20±2.03 0.058

DT: Deceleration time, DF: Diastolic function, SD: Standard deviation, VIS: Vasoactive-inotropic scores, ICU: Intensive care unit, PRBC: Packed red blood cells, LD: Lethal dose. P-value<0.05 is statistically significant. Independent ‘t’ test is used for statistical analysis.

Duration of intubation (h).
Figure 9:
Duration of intubation (h).
Vasoactive inotropic scores.
Figure 10:
Vasoactive inotropic scores.
Length of intensive care unit stay (days).
Figure 11:
Length of intensive care unit stay (days).

Table 4 shows comparable graft distribution between groups, with most patients receiving three or four grafts (P = 1.000). Table 5 demonstrates significantly higher rates of pleural effusion (P = 0.002) and new-onset AF (P = 0.032) in the abnormal DF group, while no differences were found in HOS, reintubation, AKI, or ICU readmission [Figure 12]. No mortality was observed in either group at 7-day or 30-day follow-up [Table 6].

Table 4: Comparison of number of grafts among study groups.
No. of grafts Normal DF Abnormal DF Total
n Percentage n Percentage n Percentage
2 1 6.25 3 5.08 4 5.33
3 8 50 26 44.07 34 45.33
4 7 43.75 28 47.46 35 46.67
5 0 0 2 3.39 2 2.67
Total 16 100 59 100 75 100

DF: Diastolic function. P=1.000

Table 5: Analysis of post-operative complication rates between groups.
Complications Normal DF Abnormal DF P-value
n Percentage n Percentage
HOS 0 0 5 8.47 0.578
ROR 0 0 1 1.69 1.000
Pleural effusion 4 25 42 71.19 0.002 (S)
AKI 0 0 6 10.17 0.331
AF 0 0 14 23.73 0.032 (S)
SSI 0 0 0 0 -
Re-admission to ICwU 0 0 5 8.47 0.578

DF: Diastolic function, HOS: High oxygen support, ROR: Requirement of re-intubation, AKI: Acute kidney injury, AF: Atrial fibrillation, SSI: Surgical site infection, ICU: Intensive care unit. P-value<0.05 is statistically significant. Independent ‘t’ test is used for statistical analysis.

Table 6: Incidence of mortality among study groups.
Mortality Normal DF Abnormal DF P-value
n Percentage n Percentage
7 days 0 0 0 0 -
30 days 0 0 0 0 -

DF: Diastolic function. P-value<0.05 is statistically significant. Independent ‘t’ test is used for statistical analysis.

Incidence of post-operative complications.
Figure 12:
Incidence of post-operative complications.

DISCUSSION

This prospective study evaluated the impact of DD on post-operative outcomes in patients undergoing CABG. A high prevalence of abnormal DD (78.67%) was observed, underscoring its clinical relevance. Similar findings were reported by Kyle et al.,[14] and Ashes et al.,[19] who noted a significant incidence of pre-operative DD among cardiac surgery patients. These results highlight the importance of incorporating DD assessment into pre-operative evaluation and perioperative management. Metkus et al.[20] further demonstrated that moderate to severe DD (Grade II–III) independently predicts higher mortality and prolonged mechanical ventilation, emphasizing the value of early identification and intervention.

Our analysis revealed significantly higher age in patients with abnormal DD, consistent with Kyle et al.[14] and Mondal et al.,[13] indicating age as a strong determinant of DD. Although Ashes et al.[19] did not report a significant association, the overall evidence supports advancing age as a key risk factor. No gender-based differences were observed, contrasting with Mondal et al.[13] and Ludden et al.,[21] who found higher DD prevalence and poorer outcomes among females.

Echocardiographic parameters, including septal e’, lateral e’, and the E/e’ ratio, were markedly impaired in patients with DD, aligning with the 2025 ASE/EACVI recommendations,[18] which emphasize these measures as reliable indices of LV relaxation and filling pressure. Previous studies by Metkus et al.,[20] Kaw et al.,[22] and Cho et al.[23] similarly demonstrated that elevated E/e’ ratio correlates with increased post-operative morbidity, prolonged mechanical ventilation, and higher mortality. This reinforces the utility of integrating TEE-based diastolic assessment into perioperative echocardiographic protocols.

Intraoperative parameters, including surgery duration and number of grafts, were comparable between groups, indicating that DD does not directly influence the technical aspects of CABG but may affect post-operative recovery. Patients with DD required significantly longer mechanical ventilation, consistent with findings by Kyle et al.,[14] Mondal et al.,[13] and Metkus et al.,[20] who associated impaired DF with delayed weaning due to reduced cardiac performance and pulmonary congestion.

VISs were also significantly higher in DD patients, suggesting greater cardiovascular instability. Similar observations by Kyle et al.[14] and the VIS classification proposed by Koponen et al.[24] link higher VIS with an increase in-hospital mortality, reinforcing its prognostic relevance.

Post-operative complications such as pleural effusion and new-onset AF were more frequent in the DD group, aligning with previous studies indicating elevated left atrial pressures and structural remodeling as contributing factors. The incidence of AKI was comparable between groups, consistent with Mondal et al.,[13] though Kyle et al.,[14] reported a higher rate, likely reflecting population or management differences. This variability may reflect differences in patient demographics, surgical techniques, or perioperative management practices.

The requirement for post-operative oxygen support and non-invasive ventilation was higher among patients with DD, though not statistically significant. Mondal et al.[13] reported a longer oxygen support duration in similar patients. Reintubation occurred only in those with DD, consistent with findings by Kyle et al.[14] and Mondal et al.,[13] suggesting that DD may contribute to post-operative respiratory compromise.

No mortality was observed in either group, similar to reports by Kyle et al.[14] and Ashes et al.,[19] indicating that DD may not significantly affect short-term survival. However, Kaw et al.[22] and Cho et al.[23] identified DD as a predictor of mortality, implying that our study’s limited sample size may have precluded the detection of such differences.

Patients with DD experienced significantly longer ICU and hospital stays, consistent with Kyle et al.,[14] Metkus et al.,[20] and Ludden et al.[21] These findings reflect greater postoperative complications and prolonged supportive care needs in this population.

Diastolic dysfunction has emerged as an important determinant of adverse postoperative outcomes following CABG surgery. The review on prolonged ICU stay after cardiac surgery highlights ventricular dysfunction— including impaired filling and relaxation—as a contributor to low cardiac output states, prolonged ventilation, and extended ICU length of stay, even in patients with preserved ejection fraction.[25] Perioperative heart failure literature further emphasizes that diastolic dysfunction leads to elevated filling pressures and poor tolerance to fluid shifts, predisposing CABG patients to pulmonary congestion, atrial fibrillation, and delayed recovery.[26] Collectively, these findings align with complex cardiac surgical experiences showing that underlying myocardial dysfunction, even when subtle, amplifies perioperative risk and negatively impacts postoperative outcomes after coronary revascularization.[27]

This study presents important insights but also has some limitations that warrant consideration for future research. This single-center study with a modest sample size may limit the generalizability of findings. DF was assessed intraoperatively using a simplified TEE-based approach; however, more advanced modalities such as left atrial strain, myocardial work index, and 3D echocardiography, as recommended in the 2025 ASE/EACVI guidelines, could provide greater diagnostic precision. Exclusion of high-risk patients with severe cardiac disease further restricts applicability to broader populations. The study focused only on short-term post-operative outcomes, without long-term follow-up. In addition, as an observational design, it identifies associations rather than causality, and factors such as preload, left atrial compliance, and hemodynamic variability may have influenced results. Future multicentric studies with larger cohorts and advanced echocardiographic evaluation are needed to validate these findings and explore long-term prognostic implications.

CONCLUSION

In summary, DD is highly prevalent among patients undergoing CABG and is associated with adverse early post-operative outcomes, including prolonged mechanical ventilation, higher inotropic requirements, and increased complications such as AF and pleural effusion. Early recognition allows for optimized perioperative management and individualized hemodynamic strategies, which may improve recovery and reduce ICU and hospital stay durations.

Ethical approval:

The research/study was approved by the Institutional Review Board at Devki Devi Foundation, Max Super Speciality Hospital, New Delhi, number BHR/TS/MSSH/DDF/SKT-2/IEC/CARDIO/23-16, dated 05th June 2023.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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