<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJCS</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Surgery</journal-title></journal-title-group><issn pub-type="epub">2164-3202</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjcs.2026.164007</article-id><article-id pub-id-type="publisher-id">WJCS-150653</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Impact of Cardiovascular Rehabilitation on Functional Capacity Following Cardiac Surgery: A Cohort Study at Yaound&#233; General Hospital, Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tsague</surname><given-names>Kengni Hermann Nestor</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Siddikatou</surname><given-names>Djibrilla</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ngo</surname><given-names>Yon Laurence Carole</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Panchut</surname><given-names>Nsangou Nafissatou</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kingue</surname><given-names>Soken Wright Jordan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Menoue</surname><given-names>Djimafo Christelle</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tchuinkam</surname><given-names>Tchoubat Sylvanie</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tsafack</surname><given-names>Soefack Germaine Christelle</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndom</surname><given-names>Ebongue Marie Solange</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mandeng</surname><given-names>Ma Linwa Edgar</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Elysée</surname><given-names>Claude Bika Léle</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Menanga</surname><given-names>Alain Patrick</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kamdem</surname><given-names>Félicité</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Cardiology Unit, Yaounde General Hospital, Yaounde, Cameroon</addr-line></aff><aff id="aff7"><addr-line>Cardiology Unit, Douala General Hospital, Douala, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Cardiac Prevention Foundation, Yaounde, Cameroon</addr-line></aff><aff id="aff5"><addr-line>Cardiology Unit, Laquintinie Douala Hospital, Douala, Cameroon</addr-line></aff><aff id="aff6"><addr-line>Faculty of Sciences, University of Douala, Douala, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon</addr-line></aff><aff id="aff8"><addr-line>Faculty of Health Sciences (FHS), University of Buea, Buea, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>04</month><year>2026</year></pub-date><volume>16</volume><issue>04</issue><fpage>56</fpage><lpage>69</lpage><history><date date-type="received"><day>10,</day>	<month>March</month>	<year>2026</year></date><date date-type="rev-recd"><day>4,</day>	<month>April</month>	<year>2026</year>	</date><date date-type="accepted"><day>7,</day>	<month>April</month>	<year>2026</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  &lt;b&gt;Background:&lt;/b&gt; Cardiovascular rehabilitation (CR) is associated with improvements in functional capacity post-cardiac surgery, but its impact in low-resource settings like Cameroon remains understudied. This study evaluated the pre-post associations of CR with functional capacity in patients following cardiac surgery. &lt;b&gt;Methods:&lt;/b&gt; A single-group cohort study with retrospective and prospective data collection was conducted at the Cardiovascular and Metabolic Rehabilitation Unit (CMRU) of Yaound&#233; General Hospital (YGH) from February 2024 to June 2025. It included adults who completed ≥ 10 CR sessions post-cardiac surgery. Retrospective data (February-November 2024) were extracted from medical records, while prospective data (December 2024-June 2025) were collected at the start and end of CR. Functional capacity and haemodynamic outcomes were assessed at CR completion; complications were monitored during a separate 4-week follow-up period after CR completion. Sociodemographic, clinical, and therapeutic profiles were described. Functional capacity parameters i.e. maximal oxygen consumption (VO2max), six-minute walk test (6MWT), Duke Activity Status Index (DASI), metabolic equivalents [METs] were compared pre- and post-CR using paired t-tests and McNemar’s tests. Determinants of changes in functional capacity were identified using linear regression (p &lt; 0.05). &lt;b&gt;Results:&lt;/b&gt; Participation in CR was associated with significant pre-post improvements in objective VO2max from 17.5 &#177; 8.2 to 30.0 &#177; 9.1 mL/kg/min (+12.5 mL/kg/min, +71.4%, p &lt; 0.001), 6MWT distance from 448 &#177; 88 to 565 &#177; 92 m (+117 m, +26.1%, p &lt; 0.001), METs from 5.0 &#177; 2.3 to 8.6 &#177; 2.6 (+3.6, +72%, p &lt; 0.001), and DASI score from 18.6 to 52.9 (+34.3 points, +184.4%, p &lt; 0.001). Resting heart rate (–9 bpm, p &lt; 0.001), blood pressure, and dyspnoea improved, with all patients achieving NYHA stage I post-CR (p &lt; 0.001). Non-modifiable cardiovascular risk factors, particularly a family history of hypertension, were associated with reduced VO2max improvement (&lt;i&gt;β&lt;/i&gt; = –8.28, p &lt; 0.001). Higher baseline resting heart rate was linked to greater 6MWT gains (&lt;i&gt;β&lt;/i&gt; = 2.77, p = 0.023). &lt;b&gt;Conclusion:&lt;/b&gt; Participation in CR was associated with significant improvements in functional capacity in patients’ post-cardiac surgery in a low-resource setting like Cameroon. Improving CR accessibility and tailoring programmes for patients with non-modifiable risk factors could optimise outcomes.
 
</p></abstract><kwd-group><kwd>Cardiovascular Rehabilitation</kwd><kwd> Cardiac Surgery</kwd><kwd> Functional Capacity</kwd><kwd> Cameroon</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cardiovascular diseases (CVDs) account for 19.8 million deaths annually, representing 33% of global mortality [<xref ref-type="bibr" rid="scirp.150653-ref1">1</xref>]. Their burden is particularly pronounced in sub-Saharan Africa (SSA), where healthcare systems struggle to meet rising demand [<xref ref-type="bibr" rid="scirp.150653-ref2">2</xref>]. In 2021, of the 18 million premature deaths from non-communicable diseases (before age 70), approximately 38% were CVD-related [<xref ref-type="bibr" rid="scirp.150653-ref1">1</xref>]. Despite the increasing prevalence of CVDs in SSA, specialized facilities remain scarce, with an average of one cardiac surgery unit per 33 million inhabitants [<xref ref-type="bibr" rid="scirp.150653-ref3">3</xref>]. Although the Shisong Cardiac Centre (SCC), inaugurated on 20 November 2009, remains Cameroon’s only fully operational specialised institution [<xref ref-type="bibr" rid="scirp.150653-ref4">4</xref>], cardiac surgery was introduced in 1985 at Yaound&#233; University Teaching Hospital (CHUY) [<xref ref-type="bibr" rid="scirp.150653-ref5">5</xref>]. Since then, several programmes have emerged through North-South collaborations, with one of the most recent launched at Yaound&#233; General Hospital (YGH) in September 2022 [<xref ref-type="bibr" rid="scirp.150653-ref5">5</xref>].</p><p>Post-cardiac surgery, cardiovascular rehabilitation (CR) is recommended to reduce morbidity and enhance quality of life. While feasible care models exist in African contexts, many SSA patients lack access [<xref ref-type="bibr" rid="scirp.150653-ref6">6</xref>]-[<xref ref-type="bibr" rid="scirp.150653-ref8">8</xref>]. In high-income countries, CR increases VO<sub>2</sub>max by over 20% [<xref ref-type="bibr" rid="scirp.150653-ref9">9</xref>] improves six minute walking test (6MWT) distance [<xref ref-type="bibr" rid="scirp.150653-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.150653-ref11">11</xref>], enhances physical function, and reduces mortality, readmissions, anxiety, and depression [<xref ref-type="bibr" rid="scirp.150653-ref12">12</xref>]. In Cameroon, access to these benefits is limited by financial constraints, a lack of specialised centres, and insufficient trained personnel, despite adapted care models.</p><p>YGH, a pioneer in Cameroon’s public sector, addressed this challenge by establishing its Cardiovascular and Metabolic Rehabilitation Unit (CMRU) in February 2024, an innovative initiative to provide post-surgical care in a low-resource setting, offering hope for patients seeking to resume an active life. This study aims to address critical knowledge gaps regarding CR in SSA, particularly in Central Africa. Our objectives are threefold: (1) to describe the sociodemographic, clinical, and therapeutic profiles of patients’ post-cardiac surgery; (2) to compare their functional capacity before and after CR; and (3) to identify factors associated with functional capacity post-CR. By exploring these questions, we seek to demonstrate CR’s feasibility and impact in a resource-constrained setting, where most patients rely on family support to fund care. Our findings could inform universal health coverage policies, essential for reducing access inequalities and achieving the Sustainable Development Goals to reduce CVD-related mortality by 2030 [<xref ref-type="bibr" rid="scirp.150653-ref13">13</xref>]. By highlighting CR’s potential benefits in Cameroon, this study aims to inspire similar initiatives across SSA, transforming patients’ lives and strengthening healthcare systems.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Design</title><p>This study combined a retrospective and prospective cohort approach (single-group design) to assess the pre-post associations between cardiovascular rehabilitation (CR) and functional capacity in patients, post-cardiac surgery at Yaound&#233; General Hospital (YGH).</p></sec><sec id="s2_2"><title>2.2. Study Setting and Study Period</title><p>The research was conducted at the Cardiovascular and Metabolic Rehabilitation Unit (CMRU) of YGH, located in Yaound&#233;, Cameroon. The CMRU, is equipped with cycle ergometers, a treadmill, a muscle-strengthening apparatus, an electrocardiogram (ECG) system, and echocardiographic equipment. Staffed by two cardiologists, one general practitioner, and one nurse, the unit manages approximately 10 patients per month.</p><p>Data from patients who completed CR between February and November 2024 were collected retrospectively. Data from patients who completed CR between December 2024 and June 2025 were collected prospectively. Participants were monitored for up to 4 weeks post-CR to evaluate outcomes and complications. Functional capacity parameters and haemodynamic measures were assessed immediately before CR initiation and at completion of the CR programme. Participants were monitored for up to 4 weeks after CR completion to evaluate complications.</p></sec><sec id="s2_3"><title>2.3. Participants</title><p>Eligible participants were adults (aged ≥18 years) who had undergone cardiac surgery (e.g., valve replacement, coronary artery bypass grafting) and completed at least 10 CR sessions at the CMRU. Patients with contraindications to CR, such as unstable angina or severe arrhythmias, or those lost to follow-up due to death or withdrawal were excluded. A non-probabilistic consecutive sampling method was used to include all qualifying patients.</p></sec><sec id="s2_4"><title>2.4. Data Collection</title><p>Data were gathered retrospectively from CMRU registries and patient charts, followed by prospective assessments at the initiation and completion of cardiac rehabilitation using a standardized protocol. Initially, a structured questionnaire captured sociodemographic details (age, sex, place of residence, occupation, education level, marital status, and insurance coverage) along with clinical background (cardiovascular risk factors, heart failure etiology, and prior treatments). Vital signs were then recorded: blood pressure and heart rate (seated, following 5 minutes of rest) with an OMRON HEM-432C sphygmomanometer, oxygen saturation by pulse oximetry, body weight on a 150-kg analog scale, and height via stadiometer. Functional capacity was evaluated next: the 6-minute walk test (6MWT) conducted on a 20-m course with VO<sub>2</sub>max estimated as distance &#215; 0.1 + 3.5 mL/kg/min, and the Duke Activity Status Index (DASI) questionnaire with VO<sub>2</sub>max calculated as 0.43 &#215; DASI + 9.6. The sequence concluded with a modified Bruce protocol exercise stress test, echocardiography (LVEF determined by Simpson’s method), and 12-lead ECG, all performed by trained personnel using calibrated equipment. All primary outcomes (functional capacity, haemodynamics, NYHA classification) were collected at CR completion.</p></sec><sec id="s2_5"><title>2.5. Variables</title><p>The main variables of interest included 6MWT distance (m), DASI score, METs (metabolic equivalents), and VO<sub>2</sub>max (mL/kg/min, calculated as [6MWT distance &#215; 0.023 + 4.948] &#177; 1.1). Other variables of interest were sociodemographic data (age, sex, educational attainment, occupation, place of residence, and source of financial support); clinical data (cardiovascular risk factors such as smoking, obesity, and family history; surgical indications; post-operative medications; and complications); resting/maximal heart rate (HR, bpm), systolic/diastolic blood pressure (SBP/DBP, mmHg), dyspnoea (assessed via NYHA classification and Borg scale), fatigue, exercise power (Watts, WHO 25 protocol), maximal effort stage (modified Bruce protocol), and segmental muscle strength. The predictors or modifiers of interest included age, sex, cardiovascular risk factors, number of CR sessions, and baseline HR. The confounders were type of surgery, time from surgery to CR initiation, and cardiovascular risk factors.</p></sec><sec id="s2_6"><title>2.6. Cardiovascular Rehabilitation Procedure</title><p>The CR programme consisted of 10 - 30 sessions over 5 - 10 weeks, with 2 - 3 sessions weekly, each lasting 50 - 70 minutes. The protocol included:</p><p>1) Warm-up Phase (5 - 15 min): Gentle stretching and slow-paced walking.</p><p>2) Exercise Phase (40 - 50 min): Aerobic activities (treadmill or cycle ergometer, targeting a maximum HR of 120 bpm) combined with light resistance training.</p><p>3) Cool-down Phase (5 - 10 min): Low-intensity walking and relaxation exercises.</p><p>Sessions were overseen by a cardiologist or nurse, with adjustments made based on patient tolerance (assessed via the Borg scale) and haemodynamic monitoring. Educational sessions on cardiovascular health were integrated. ECG monitoring ensured safety by identifying contraindications.</p></sec><sec id="s2_7"><title>2.7. Statistical Analysis</title><p>Continuous variables (e.g., VO<sub>2</sub>max, 6MWT distance) were reported as means &#177; standard deviations and analysed using paired t-tests to compare pre- and post-CR values. Categorical variables (e.g., dyspnoea, fatigue) were evaluated with McNemar’s test.</p><p>Linear regression models identified determinants of changes in VO<sub>2</sub>max and 6MWT distance, adjusting for confounders. To identify determinants of changes in functional capacity, univariable linear regression was first performed for each potential predictor (age, sex, non-modifiable risk factors, family history of hypertension, baseline resting HR, number of CR sessions, and time from surgery to CR initiation). Variables with p &lt; 0.10 or clinically important were then entered into multivariable linear regression models adjusting for confounders (age, sex, type of surgery, and time from surgery to CR initiation). Missing data were not imputed, and patients with incomplete data were excluded from relevant analyses.</p></sec><sec id="s2_8"><title>2.8. Ethical Considerations</title><p>Ethical clearance was obtained from the University of Douala Ethics Committee (Ref: 4795/CEI-UDo/03/2025) and YGH (Ref: 0298-25/HGY/DG/DPM/APM-AS). Informed consent was secured for prospective participants, while a waiver was granted for retrospective data due to their anonymized nature. Data were coded, stored securely, and used exclusively for research purposes, adhering to ethical guidelines.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Participant Characteristics</title><p>Of 72 patients enrolled in CR at the CMRU from February 2024 to June 2025, 32 were post-cardiac surgery. One was excluded for completing &lt; 10 sessions, leaving 31 patients (15 retrospective, 16 prospective), as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. The mean age was 48 &#177; 15 years (range 22 - 76), with 64.5% female (M/F ratio: 0.55). Most had secondary (48.4%) or tertiary (45.1%) education, worked in the informal sector (38.7%), and resided in Yaound&#233; (80.6%). Family financial support was received by 71%, and none had health insurance, as reported in <xref ref-type="table" rid="table1">Table 1</xref>. Complete pre- and post-CR data were available for all 31 patients for VO<sub>2</sub>max, 6MWT distance, METs, DASI score, haemodynamic measures, NYHA classification, and most clinical outcomes. Post-CR LVEF was available for only 15 patients due to logistical constraints on repeat echocardiography. Exercise stress test parameters were available for 29 patients (two patients experienced ventricular tachycardia during initial testing).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic, clinical, and surgical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Frequency (N = 31)</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;50</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >54.9</td></tr><tr><td align="center" valign="middle" >≥50</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >45.1</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >64.5</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >35.5</td></tr><tr><td align="center" valign="middle" >Education Level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >48.4</td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >45.1</td></tr><tr><td align="center" valign="middle" >Financial Support</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Family</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >71.0</td></tr><tr><td align="center" valign="middle" >Personal</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >29.0</td></tr><tr><td align="center" valign="middle" >Health Insurance</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >Cardiovascular Risk Factors (Non-Modifiable, n = 23, 74.2%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Family history of hypertension</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >51.6</td></tr><tr><td align="center" valign="middle" >Family history of stroke/sudden death</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Cardiovascular Risk Factors (Modifiable, n = 10, 32.3%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >22.6</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >19.4</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Sedentary lifestyle</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Type of Cardiac Surgery</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mitral valve replacement</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >35.5</td></tr><tr><td align="center" valign="middle" >Aortic valve replacement</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >25.8</td></tr><tr><td align="center" valign="middle" >Coronary artery bypass grafting</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >16.1</td></tr><tr><td align="center" valign="middle" >Mitral annuloplasty</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12.9</td></tr><tr><td align="center" valign="middle" >Myxoma ablation</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Tricuspid valve replacement</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Tricuspid annuloplasty</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Pericardiectomy</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Ventricular septal defect repair</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Aneurysm repair</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Dyspnoea stage</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >16.1</td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >51.6</td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >32.3</td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Post-Operative Treatments</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diuretics</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >96.8</td></tr><tr><td align="center" valign="middle" >Beta-blockers</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >90.3</td></tr><tr><td align="center" valign="middle" >Anticoagulants</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >74.2</td></tr><tr><td align="center" valign="middle" >VSD = Ventricular Septal Defect</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec><sec id="s3_2"><title>3.2. Clinical and Therapeutic Profile</title><p>Dyspnoea was present in 26 patients (83.9%), with 51.6% at NYHA stage II and 32.3% at stage III. Non-modifiable cardiovascular risk factors were present in 74.2%, primarily a family history of hypertension (51.6%) and age ≥50 years (45.2%). Modifiable risk factors included alcohol consumption (22.6%) and obesity (19.4%). Valvular diseases (64.5%) and coronary artery disease (16.1%) were the main surgical indications. Mitral (35.5%) and aortic (25.8%) valve replacements predominated, with 95% using prostheses (78.9% mechanical). Post-operative treatments included diuretics (96.8%), beta-blockers (90.3%), and anticoagulants (74.2%), as reported in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_3"><title>3.3. CR Programme</title><p>Patients completed a mean of 14 &#177; 5 CR sessions (range 10 - 30) over 5 - 10 weeks, with 77.5% attending three sessions weekly. Time from surgery to CR initiation: mean 59 &#177; 160 weeks; median 12 weeks (IQR 6-28).</p></sec><sec id="s3_4"><title>3.4. Functional Capacity Outcomes</title><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Haemodynamic, clinical, and functional changes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Pre-CR</th><th align="center" valign="middle" >Post-CR</th><th align="center" valign="middle" >Δ (%)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Resting HR (bpm)</td><td align="center" valign="middle" >78 &#177; 13</td><td align="center" valign="middle" >69 &#177; 9</td><td align="center" valign="middle" >–11.5%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Resting SBP (mmHg)</td><td align="center" valign="middle" >124 &#177; 14</td><td align="center" valign="middle" >118 &#177; 15</td><td align="center" valign="middle" >–4.8%</td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >Resting DBP (mmHg)</td><td align="center" valign="middle" >75 &#177; 6</td><td align="center" valign="middle" >71 &#177; 8</td><td align="center" valign="middle" >–5.3%</td><td align="center" valign="middle" >0.034</td></tr><tr><td align="center" valign="middle" >VO<sub>2</sub>max (mL/kg/min)</td><td align="center" valign="middle" >17.5 &#177; 8.2</td><td align="center" valign="middle" >30.0 &#177; 9.1</td><td align="center" valign="middle" >+71.4%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >6MWT (m)</td><td align="center" valign="middle" >448 &#177; 88</td><td align="center" valign="middle" >565 &#177; 92</td><td align="center" valign="middle" >+26.1%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >DASI Score</td><td align="center" valign="middle" >18.6 &#177; 12.5</td><td align="center" valign="middle" >52.9 &#177; 14.8</td><td align="center" valign="middle" >+184.4%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >METs</td><td align="center" valign="middle" >5.0 &#177; 2.3</td><td align="center" valign="middle" >8.6 &#177; 2.6</td><td align="center" valign="middle" >+72%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Power (Watts)</td><td align="center" valign="middle" >28 &#177; 12</td><td align="center" valign="middle" >45.8 &#177; 14</td><td align="center" valign="middle" >+63.6%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Effort Stage</td><td align="center" valign="middle" >3.03 &#177; 0.91</td><td align="center" valign="middle" >4.52 &#177; 0.72</td><td align="center" valign="middle" >+49.2%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Effort Duration (min)</td><td align="center" valign="middle" >11.7 &#177; 2.8</td><td align="center" valign="middle" >16.3 &#177; 2.3</td><td align="center" valign="middle" >+39.3%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Muscle Load (kg)</td><td align="center" valign="middle" >15.6 &#177; 6.2</td><td align="center" valign="middle" >19.3 &#177; 6.9</td><td align="center" valign="middle" >+23.7%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Repetitions</td><td align="center" valign="middle" >85 &#177; 53</td><td align="center" valign="middle" >152 &#177; 89</td><td align="center" valign="middle" >+78.8%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Fatigue</td><td align="center" valign="middle" >28 (83.9%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >–83.9%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Dyspnoea NYHA II-III</td><td align="center" valign="middle" >26 (83.9%)</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >–83.9%</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >LVEF (%)<sup>*</sup></td><td align="center" valign="middle" >52.4 &#177; 11.2</td><td align="center" valign="middle" >58.7 &#177; 7.9</td><td align="center" valign="middle" >+6.3%</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >ECG Abnormalities</td><td align="center" valign="middle" >14 (45.2%)</td><td align="center" valign="middle" >3 (9.7%)</td><td align="center" valign="middle" >–35.5%</td><td align="center" valign="middle" >0.002</td></tr></tbody></table></table-wrap><p>Note: SBP = Systolic Blood Pressure; DBP Diastolic Blood Pressure; HR = Heart Rate; bpm = beats per minute; 6MWT = 6-Minute Walk Test; METs = Metabolic Equivalents. Bold p-values indicate statistical significance. <sup>*</sup>n = 31 for all variables unless otherwise specified. <sup>*</sup>Post-CR LVEF was available for only 15 patients due to logistical constraints on repeat echocardiography in the retrospective/prospective cohort. Paired LVEF comparison is restricted to these 15 patients.</p><p>VO<sub>2</sub>max increased from 17.5 &#177; 8.2 to 30.0 &#177; 9.1 mL/kg/min (+71.4%, p &lt; 0.001). 6MWT distance rose from 448 &#177; 88 to 565 &#177; 92 m (+26.1%, p &lt; 0.001). METs improved from 5.0 &#177; 2.3 to 8.6 &#177; 2.6 (+72%, p &lt; 0.001). DASI score increased from 18.6 to 52.9 (+34.3 points, +184.4%, p &lt; 0.001). Exercise test power increased from 28 &#177; 12 to 45.8 &#177; 14 Watts (+63.6%, p &lt; 0.001). Maximal effort stage (modified Bruce protocol) rose from 3.03 &#177; 0.91 to 4.52 &#177; 0.72 (+49.2%, p &lt; 0.001), and effort duration from 11.7 &#177; 2.8 to 16.3 &#177; 2.3 min (+39.3%, p &lt; 0.001), as reported in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_5"><title>3.5. Haemodynamic and Clinical Outcomes</title><p>Resting HR decreased from 78 &#177; 13 to 69 &#177; 9 bpm (–11.5%, p &lt; 0.001). Resting SBP fell from 124 &#177; 14 to 118 &#177; 15 mmHg (–4.8%, p = 0.010), and DBP from 75 &#177; 6 to 71 &#177; 8 mmHg (–5.3%, p = 0.034). Muscle strength improved, with upper limb load increasing from 15.6 &#177; 6.2 to 19.3 &#177; 6.9 kg (+23.7%, p &lt; 0.001) and repetitions from 85 &#177; 53 to 152 &#177; 89 (+78.8%, p &lt; 0.001). Fatigue resolved in all 28 affected patients (83.9% initially, p &lt; 0.001). Dyspnoea improved from 83.9% (51.6% NYHA stage II, 32.3% stage III) to 100% NYHA stage I (p &lt; 0.001). ECG abnormalities (e.g., ventricular extrasystoles) decreased from 45.2% to 9.7% (p = 0.002). LVEF (assessed by Simpson’s method) was available pre-CR for all 31 patients (mean 52.4 &#177; 11.2%, with 67.8% ≥ 50%) and post-CR for 15 patients (mean 58.7 &#177; 7.9%, with 100% ≥ 50%). In the subset of 15 patients with paired pre- and post-CR measurements, LVEF increased by +6.3% (p = 0.008, paired t-test), reflecting improved ventricular function following CR, as reported in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_6"><title>3.6. Determinants of Functional Capacity Changes</title><p>In the multivariable linear regression models (adjusted for age, sex, type of surgery, and time from surgery to CR initiation), non-modifiable cardiovascular risk factors (β = –8.28, p &lt; 0.001), particularly a family history of hypertension (β = –4.14, p = 0.049), reduced VO<sub>2</sub>max improvement. Male sex showed a non-significant trend (β = –4.07, p = 0.063). Higher baseline resting HR was associated with greater 6MWT improvement (β = 2.77, p = 0.023). More CR sessions showed a non-significant positive trend (β = 5.83, p = 0.085), while non-modifiable risk factors had a negative trend (β = –85.42, p = 0.060), as reported in <xref ref-type="table" rid="table3">Table 3</xref>.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Determinants of changes in VO<sub>2</sub>max and 6MWT distance</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle"  colspan="2"  >VO<sub>2</sub>max</th><th align="center" valign="middle"  colspan="2"  >6MWT Distance</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >β &#177; SE</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >β &#177; SE</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >−0.06 &#177; 0.05</td><td align="center" valign="middle" >0.292</td><td align="center" valign="middle" >−0.19 &#177; 1.13</td><td align="center" valign="middle" >0.868</td></tr><tr><td align="center" valign="middle" >Male Sex</td><td align="center" valign="middle" >−4.07 &#177; 2.15</td><td align="center" valign="middle" >0.063</td><td align="center" valign="middle" >−56.25 &#177; 35.72</td><td align="center" valign="middle" >0.122</td></tr><tr><td align="center" valign="middle" >Non-Modifiable Risk Factors</td><td align="center" valign="middle" >−8.28 &#177; 2.01</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >−85.42 &#177; 44.12</td><td align="center" valign="middle" >0.060</td></tr><tr><td align="center" valign="middle" >Family History of Hypertension</td><td align="center" valign="middle" >−4.14 &#177; 2.07</td><td align="center" valign="middle" >0.049</td><td align="center" valign="middle" >−21.59 &#177; 34.98</td><td align="center" valign="middle" >0.544</td></tr><tr><td align="center" valign="middle" >Baseline Resting HR (bpm)</td><td align="center" valign="middle" >0.13 &#177; 0.08</td><td align="center" valign="middle" >0.110</td><td align="center" valign="middle" >2.77 &#177; 1.19</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >Number of CR Sessions</td><td align="center" valign="middle" >0.20 &#177; 0.23</td><td align="center" valign="middle" >0.398</td><td align="center" valign="middle" >5.83 &#177; 3.34</td><td align="center" valign="middle" >0.085</td></tr></tbody></table></table-wrap></sec><sec id="s3_7"><title>3.7. Complications and Follow-Up</title><p>Two patients experienced ventricular tachycardia during initial exercise tests, delaying testing. No deaths occurred during CR. Within 4 weeks post-CR, two non-cardiac deaths (infections) and one readmission for fatigue/dyspnoea were recorded.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This cohort study, conducted at YGH’s CMRU from February 2024 to June 2025, evaluated the pre-post associations of cardiovascular rehabilitation (CR) with functional capacity in 31 adults post-cardiac surgery. Marked physiological gains were observed following participation in CR. VO<sub>2</sub>max rose by 71.4% (+12.5 mL/kg/min, p &lt; 0.001), driven by enhanced stroke volume, widened arteriovenous oxygen difference, and skeletal muscle mitochondrial adaptations from aerobic training [<xref ref-type="bibr" rid="scirp.150653-ref14">14</xref>]. 6MWT distance increased by 26.1% (+117 m, p &lt; 0.001), reflecting improved peripheral oxygen extraction, delayed anaerobic threshold, and better ventilatory efficiency [<xref ref-type="bibr" rid="scirp.150653-ref14">14</xref>]. METs surged by 72% (p &lt; 0.001) via cumulative cardiorespiratory conditioning [<xref ref-type="bibr" rid="scirp.150653-ref14">14</xref>], while DASI score improved by 184.4% (p &lt; 0.001), capturing subjective functional gains from severe baseline limitation (NYHA II-III in 83.9%). Resting heart rate fell by 11.5% (p &lt; 0.001) through heightened parasympathetic tone [<xref ref-type="bibr" rid="scirp.150653-ref15">15</xref>]; systolic (−4.8%, p = 0.010) and diastolic blood pressure (−5.3%, p = 0.034) declined via reduced vascular stiffness and sodium overload [<xref ref-type="bibr" rid="scirp.150653-ref15">15</xref>]; dyspnoea resolved fully (100% NYHA I, p &lt; 0.001) due to decreased pulmonary congestion and diaphragmatic strengthening [<xref ref-type="bibr" rid="scirp.150653-ref14">14</xref>].</p><p>These findings align with international literature. The pre-post changes exceed high-income benchmarks [<xref ref-type="bibr" rid="scirp.150653-ref9">9</xref>] and align with North African observations (+41.6%, 6.38 mL/kg/min) [<xref ref-type="bibr" rid="scirp.150653-ref16">16</xref>]. The 6MWT improvement (+26.1%) is comparable to gains in Wicks et al. (+21.8%) [<xref ref-type="bibr" rid="scirp.150653-ref10">10</xref>] and Pollmann et al. (+13%), [<xref ref-type="bibr" rid="scirp.150653-ref17">17</xref>] in developed countries but lower than Gaye et al. (+54.2%) in Senegal [<xref ref-type="bibr" rid="scirp.150653-ref18">18</xref>]. The DASI score improvement (+184.4%) was more pronounced than in McKeever et al. (+82.9%) in Switzerland [<xref ref-type="bibr" rid="scirp.150653-ref19">19</xref>] or Bhattal et al. (+9.9%) in the USA [<xref ref-type="bibr" rid="scirp.150653-ref20">20</xref>], possibly due to more severe baseline cases (NYHA II-III, 83.9%) in our cohort, which may allow greater improvement potential.</p><p>These pre-post changes also exceed high-income benchmarks (VO<sub>2</sub>max +20% [<xref ref-type="bibr" rid="scirp.150653-ref9">9</xref>]; 6MWT +13-21.8% [<xref ref-type="bibr" rid="scirp.150653-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.150653-ref16">16</xref>]) and North African gains (+41.6% [<xref ref-type="bibr" rid="scirp.150653-ref15">15</xref>]), likely from greater improvement potential in severe cases. Separately, family history of hypertension blunted VO<sub>2</sub>max gains (β = −8.28, p &lt; 0.001) by constraining autonomic plasticity [<xref ref-type="bibr" rid="scirp.150653-ref21">21</xref>], while higher baseline resting HR predicted larger 6MWT advances (β = 2.77, p = 0.023), signalling greater remodelling reserve.</p><p>The observed improvements are consistent with the combined effect of aerobic and muscle-strengthening exercises, optimising cardiorespiratory efficiency [<xref ref-type="bibr" rid="scirp.150653-ref14">14</xref>]. Reductions in resting heart rate and blood pressure reflect improved autonomic regulation and reduced hydrosodic overload [<xref ref-type="bibr" rid="scirp.150653-ref15">15</xref>]. Non-modifiable risk factors, such as a family history of hypertension, may limit autonomic responses to training, as shown in a cohort of young athletes in Portugal [<xref ref-type="bibr" rid="scirp.150653-ref21">21</xref>]. Given that valvular diseases were the most common surgical indication at YGH [<xref ref-type="bibr" rid="scirp.150653-ref5">5</xref>], the high proportion of females (64.5%) and mean age of 48 years, which is relatively young (48 years) may reflect the epidemiology of rheumatic valvular disease in Cameroon [<xref ref-type="bibr" rid="scirp.150653-ref22">22</xref>].</p><p>This is one of the first studies in Central Africa to address this gap in the literature. The retro-prospective design ensures a robust sample, and standardised tests (6MWT, modified Bruce protocol) enhance methodological strength. However, the small sample size (n = 31) limits generalisability, and the lack of a control group complicates causal attribution. High CR costs and lack of insurance affected adherence, despite family support for 71% of patients. These results highlight CR’s observed benefits in a low-resource setting, but financial barriers persist. Integrating CR into universal health coverage and developing additional units in Cameroon are essential. Tailored programmes for patients with non-modifiable risk factors and enhanced therapeutic education could optimise post-hospitalisation outcomes.</p></sec><sec id="s5"><title>5. Conclusions</title><p>This cohort study shows that participation in CR was associated with substantial improvements in functional capacity and haemodynamic parameters in patients’ post-cardiac surgery in Cameroon, despite a resource-constrained setting. These observational findings, consistent with international literature, underscore the importance of improving CR accessibility, through universal health coverage policies and adapted infrastructure. By addressing access gaps and personalising programmes, Cameroon could reduce cardiovascular morbidity and inspire similar initiatives across SSA, contributing to the Sustainable Development Goals by 2030.</p><p>What Is Known about This Topic:</p><p>1) Cardiovascular diseases account for 33% of global mortality, with a significant burden in SSA, where specialised facilities are scarce (one cardiac surgery unit per 33 million inhabitants).</p><p>2) CR post-cardiac surgery is associated with improvements in functional capacity, reduces mortality, and enhances quality of life in high-income countries, but access in SSA is limited by financial constraints and lack of infrastructure.</p><p>3) In Cameroon, cardiac surgery patients, often with rheumatic valvular diseases, face barriers to CR due to high costs and lack of insurance.</p><p>What This Study Adds:</p><p>1) CR at YGH was associated with significant improvements in VO<sub>2</sub>max (+71.4%), 6MWT distance (+26.1%), METs (+72%), DASI score (+184.4%), and haemodynamic parameters, demonstrating feasibility in a low-resource setting.</p><p>2) Non-modifiable risk factors, such as a family history of hypertension, limit VO<sub>2</sub>max improvement, while higher baseline resting heart rate enhances 6MWT progress, highlighting the need for tailored programmes.</p><p>3) These findings advocate for integrating CR into universal health coverage in Cameroon, with a need for expanded infrastructure and improved financial access to reduce inequalities.</p></sec><sec id="s6"><title>Data Availability</title><p>Data supporting the study’s findings are available from the corresponding author (SD) upon reasonable request.</p></sec><sec id="s7"><title>Ethical Approval</title><p>The study was approved by the Ethics Committee of the University of Douala (Ref: 4795/CEI-UDo/03/2025) and YGH (Ref: 0298-25/HGY/DG/DPM/APM-AS). The requirement for informed consent was waived for the retrospective phase due to the use of anonymised secondary data. All procedures complied with applicable guidelines and regulations.</p></sec><sec id="s8"><title>Acknowledgements</title><p>The authors thank the administration of Yaound&#233; General Hospital for authorising this research and the hospital staff and volunteers from the Cardiac Prevention Foundation for their collaboration, which facilitated data collection.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.150653-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">WHO (2025) WHO Cardiovascular Diseases Fact Sheet Providing Key Facts and Information on Risk Factors, Symptoms, Rheumatic Heart Disease, Treatment and Prevention, WHO Response. https://www.who.int/fr/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)</mixed-citation></ref><ref id="scirp.150653-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Wauye, V.M., Ahadzi, D., Udayakumar, K. and Ngeno, G.T. 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