The Association of Plasma Osmolarity With No-Reflow in Patients With ST-Segment Elevation Myocardial Infarction: A Retrospective Cohort Study
Faraz Ahmad, Ahmad Usman, Aneela Afreen, Iffat Aqeel, Tayyab Farooq, Atif Nadeem, Rana Hanan, Ali Raza

TL;DR
High plasma osmolarity is linked to a higher risk of no-reflow in heart attack patients undergoing a specific treatment.
Contribution
This study identifies plasma osmolarity as an independent predictor of no-reflow in STEMI patients undergoing primary PCI.
Findings
High plasma osmolarity (>295 mOsm/L) was significantly associated with increased no-reflow incidence (31.1%).
No-reflow was significantly higher in high osmolarity group compared to normal and low groups (p < 0.001).
High plasma osmolarity independently increased no-reflow risk (adjusted odds ratio 2.94; p < 0.001).
Abstract
Background The no-reflow phenomenon is a serious complication that can occur after primary percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction (STEMI), leading to poor myocardial reperfusion and adverse outcomes. Objective This study aims to evaluate the association between admission plasma osmolarity and the occurrence of the no-reflow phenomenon in patients with STEMI undergoing primary PCI. Methods This retrospective cohort study was conducted at Shalamar Hospital, Lahore, Pakistan from February 2022 to February 2025. The study included 486 consecutive patients diagnosed with STEMI who underwent primary PCI. Patients aged ≥ 18 years, confirmed diagnosis of STEMI based on chest pain duration of more than 30 minutes, ST-segment elevation of ≥1 mm in at least two contiguous ECG leads, and elevated cardiac biomarkers were included in…
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| Characteristic | Low Osmolarity (<285) | Normal Osmolarity (285-295) | High Osmolarity (>295) | p-value |
| Number of patients | 152 | 186 | 148 | - |
| Age (years) | 60.2 ± 10.9 | 61.0 ± 11.3 | 62.9 ± 11.5 | 0.173 |
| Male (%) | 68.4% | 70.4% | 72.3% | 0.428 |
| Diabetes mellitus (%) | 24.3% | 29.6% | 42.6% | 0.002 |
| Hypertension (%) | 55.9% | 58.1% | 60.8% | 0.569 |
| Smoking (%) | 40.8% | 41.4% | 45.3% | 0.498 |
| Symptom-to-balloon time (hours) | 4.9 ± 2.0 | 5.1 ± 1.9 | 5.8 ± 2.3 | 0.038 |
| Osmolarity Group | No-Reflow Cases (n) | Total Patients (n) | No-Reflow Incidence (%) |
| Low (<285) | 14 | 152 | 9.2 |
| Normal (285–295) | 25 | 186 | 13.4 |
| High (>295) | 46 | 148 | 31.1 |
| Variable | Adjusted OR | 95% CI | p-value |
| High Osmolarity (>295) | 2.94 | 1.61–5.38 | <0.001 |
| Low Osmolarity (<285) | 0.71 | 0.36–1.39 | 0.316 |
| Diabetes Mellitus | 1.89 | 1.12–3.21 | 0.017 |
| High Thrombus Burden | 2.25 | 1.32–3.84 | 0.003 |
| Symptom-to-Balloon Time > 6 h | 1.68 | 1.01–2.81 | 0.046 |
| Outcome | No-Reflow (n=85) | No No-Reflow (n=401) | p-value |
| LVEF (%) | 38.6 ± 7.9 | 46.4 ± 6.8 | <0.001 |
| In-hospital mortality (%) | 9.4% | 2.1% | 0.004 |
| Arrhythmia (%) | 22.4% | 9.2% | 0.001 |
| Length of hospital stay (days) | 7.6 ± 2.4 | 5.3 ± 1.8 | <0.001 |
| Medication | Total Cohort (%) | No-Reflow (%) | No No-Reflow (%) | p-value |
| Aspirin | 100% | 100% | 100% | - |
| P2Y12 Inhibitor | 97.5% | 95.3% | 98.0% | 0.128 |
| Statins | 94.2% | 90.6% | 95.3% | 0.075 |
| Beta-blockers | 78.3% | 72.9% | 79.8% | 0.042 |
| ACE Inhibitors/ARBs | 74.5% | 67.1% | 76.2% | 0.031 |
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Taxonomy
TopicsAcute Myocardial Infarction Research · Cardiovascular Function and Risk Factors · Heart Failure Treatment and Management
Introduction
ST-segment elevation myocardial infarction (STEMI) is an urgent medical problem and ranks among the leading reasons for death and lasting disability worldwide. The main focus of how to manage patients involves timely reperfusion, most often through primary percutaneous coronary intervention (PCI) [1]. PCI can restore the blood flow in the artery, but a good number of patients still fail to receive enough blood to their heart muscle at the microvascular stage [2]. There is a link between no-reflow and more severe injury, decreased left ventricular function, increased chances of heart arrhythmias and higher rates of death both in the hospital and after release [3].
No-reflow is caused by several things, including small clots further down the blood vessel, swelling of the inner wall, blockage of capillaries by immune cells and side effects of reopening. The problem appears to involve valves in small cells, not obstruction in the large ones and has been related to several risk factors [4]. Deciding which patients might face no-reflow after a procedure is still a hard question in spite of new treatments and approaches [5]. Currently, using thrombus burden, how long ischemia persists and diseases like diabetes or kidney illness as predictors is helpful, but not enough on its own. It is still necessary to have biomarkers that are dependable, accessible and migrate, so clinicians can determine which patients are most at risk during PCI [6].
A promising yet not widely studied factor is plasma osmolarity, which measures how many sodium, potassium, glucose and urea particles are in the blood. It incorporates different aspects of human function, including hydration, electrolyte state and control of blood glucose [7]. Having either an increase or a decrease in plasma osmolarity may strongly affect the tone of blood vessels, the condition of the endothelium and processes related to inflammation. Hyperosmolar problems may also result in higher oxidative stress, harm to endothelial cells and the activation of pro-inflammatory pathways, all leading to microvascular obstruction. By contrast, hypo-osmolarity can cause fluid to build up in cells, reduce muscle contraction in the heart and further harm tissue suffering from ischemia [8]. Plasma osmolarity has been associated with a greater number of bad heart-related outcomes in critically ill patients [9]. Experts report that too high or too low osmolarity is linked to increased death risk in situations such as heart failure, sepsis and traumatic brain injury [10]. People with acute coronary syndromes who have hyperosmolar blood have been linked to bigger heart attacks and poorer outcomes. At the moment, it is not certain what relationship exists between plasma osmolarity and the no-reflow problem in patients whose STEMI is addressed with PCI [11].
Objective
This study aims to evaluate the association between admission plasma osmolarity and the occurrence of the no-reflow phenomenon in patients with STEMI undergoing primary PCI.
Materials and methods
Methodology
This retrospective cohort study was conducted at Shalamar Hospital, Lahore, Pakistan from February 2022 to February 2025. The study included 486 consecutive patients diagnosed with STEMI who underwent primary PCI.
Inclusion and exclusion criteria
Patients aged ≥ 18 years, confirmed diagnosis of STEMI based on chest pain duration of more than 30 minutes, ST-segment elevation of ≥1 mm in at least two contiguous ECG leads, and elevated cardiac biomarkers were included in the study. All patients had undergone primary PCI within 12 hours of symptom onset. Patients with a history of coronary artery bypass grafting (CABG), end-stage renal disease requiring dialysis, presence of chronic liver disease, active systemic infection, malignancy, prior thrombolytic therapy for the current event, or missing laboratory data necessary for plasma osmolarity calculation were excluded. Patients with partial data were excluded only if the missing information pertained to key variables required for the primary analysis (e.g., sodium, glucose, blood urea nitrogen (BUN)). For non-critical missing values, complete case analysis was performed, and no data imputation techniques were applied.
Data collection
Clinical and demographic data, including age, sex, cardiovascular risk factors (hypertension, diabetes mellitus, smoking, and dyslipidemia), infarct location, Killip classification, and symptom-to-balloon time, were retrieved from medical records. Laboratory parameters were obtained on admission, prior to PCI. These included serum sodium, glucose, and BUN, which were required to calculate plasma osmolarity. Plasma osmolarity was calculated using the following validated formula:
Plasma Osmolarity (mOsm/L) = (2 × Na⁺) + (Glucose/18) + (BUN/2.8)
Where Na⁺ = serum sodium in mmol/L, Glucose = blood glucose in mg/dL, and BUN = blood urea nitrogen in mg/dL.
All values were expressed in standard clinical units (Na⁺ in mmol/L, glucose and BUN in mg/dL). Based on the calculated osmolarity, patients were stratified into three groups: Low osmolarity: < 285 mOsm/L; Normal osmolarity: 285-295 mOsm/L; and High osmolarity: > 295 mOsm/L.
All procedures were performed by experienced interventional cardiologists using the radial or femoral access. Coronary angiography and PCI were conducted according to standard institutional protocols. Post-procedural angiographic flow was assessed using the Thrombolysis in Myocardial Infarction (TIMI) grading system. The no-reflow phenomenon was defined as final TIMI flow grade < 3 in the absence of angiographic evidence of mechanical obstruction, significant residual stenosis, coronary dissection, or vasospasm. Thrombus burden was assessed angiographically using the modified TIMI thrombus grading system at baseline. Grades 0-5 were assigned based on visual estimation, and assessments were confirmed independently by two interventional cardiologists blinded to clinical outcomes.
Statistical analysis
Data were analyzed using SPSS v26 (IBM Corp., Armonk, NY, USA). Continuous variables were presented as mean ± standard deviation or median with interquartile range (IQR) based on data distribution. Categorical variables were expressed as frequencies and percentages. Comparisons between groups were performed using the chi-square test for categorical variables, and one-way analysis of variance (ANOVA) for continuous variables. To determine independent predictors of the no-reflow phenomenon, univariate analysis was initially conducted, followed by multivariate logistic regression modeling. A two-sided p-value of < 0.05 was considered statistically significant.
Results
Data were collected from 486 patients. The mean age was slightly higher in the high osmolarity group (62.9 ± 11.5 years) compared to the normal (61.0 ± 11.3 years) and low (60.2 ± 10.9 years) osmolarity groups, although this difference was not statistically significant (p = 0.173). The proportion of male patients was similar across all groups: 68.4% in the low, 70.4% in the normal, and 72.3% in the high osmolarity group (p = 0.428). A significant finding was the higher prevalence of diabetes mellitus in the high osmolarity group (42.6%) compared to the normal (29.6%) and low (24.3%) groups (p = 0.002), suggesting a strong association between hyperosmolarity and metabolic dysregulation. Symptom-to-balloon time also showed a significant difference, being longest in the high osmolarity group (5.8 ± 2.3 hours), followed by the normal (5.1 ± 1.9 hours) and low (4.9 ± 2.0 hours) groups (p = 0.038), indicating delayed intervention among patients with higher osmolarity. Other factors such as hypertension (55.9%, 58.1%, and 60.8%; p = 0.569) and smoking status (40.8%, 41.4%, and 45.3%; p = 0.498) did not differ significantly across the groups (Table 1).
Table 1: Baseline Characteristics by Osmolarity GroupData are represented as Mean ± SD or percentages (%). Significance level: p < 0.05.
Among patients with low osmolarity (<285 mOsm/L), 14 out of 152 (9.2%) experienced no-reflow. In the normal osmolarity group (285-295 mOsm/L), the incidence increased to 25 out of 186 patients (13.4%). Notably, the highest rate was observed in the high osmolarity group (>295 mOsm/L), where 46 out of 148 patients (31.1%) developed no-reflow (Table 2).
High plasma osmolarity (>295 mOsm/L) was strongly associated with an increased risk of no-reflow, with an adjusted odds ratio (OR) of 2.94 (95% CI: 1.61-5.38; p < 0.001). In contrast, low osmolarity (<285 mOsm/L) was not significantly associated with no-reflow (OR: 0.71; 95% CI: 0.36-1.39; p = 0.316). Diabetes mellitus emerged as a significant predictor (OR: 1.89; 95% CI: 1.12-3.21; p = 0.017), along with high thrombus burden (OR: 2.25; 95% CI: 1.32-3.84; p = 0.003). Additionally, a symptom-to-balloon time greater than six hours was associated with an increased likelihood of no-reflow (OR: 1.68; 95% CI: 1.01-2.81; p = 0.046) (Table 3).
Table 3: Multivariate Logistic Regression AnalysisOdds Ratios (ORs) with 95% Confidence Intervals (CI) are reported. Significance level set at p < 0.05.
The mean left ventricular ejection fraction (LVEF) was notably lower in the no-reflow group (38.6 ± 7.9%) versus the no no-reflow group (46.4 ± 6.8%) with a p-value < 0.001, indicating impaired cardiac function. In-hospital mortality was also significantly higher among no-reflow patients (9.4%) compared to those without no-reflow (2.1%) (p = 0.004). Furthermore, arrhythmias occurred more frequently in the no-reflow group (22.4% vs. 9.2%; p = 0.001). Patients with no-reflow experienced a longer hospital stay, averaging 7.6 ± 2.4 days compared to 5.3 ± 1.8 days for those without no-reflow (p < 0.001) (Table 4).
Table 4: In-Hospital Outcomes by No-Reflow StatusData shown as mean ± SD or percentages (%). Significance level: p < 0.05.LVEF: left ventricular ejection fraction
Aspirin was administered to all patients (100%) regardless of no-reflow status. Use of P2Y12 inhibitors was slightly lower in the no-reflow group (95.3%) compared to the no no-reflow group (98.0%), though the difference was not statistically significant (p = 0.128). Statin use also showed a modest difference (90.6% vs. 95.3%; p = 0.075). However, significant differences were observed in the use of beta-blockers and angiotensin converting enzyme (ACE) inhibitors/angiotensin receptor blockers (ARBs). Beta-blocker administration was lower in the no-reflow group (72.9%) than in the no no-reflow group (79.8%) (p = 0.042). Similarly, ACE inhibitors or ARBs were used less frequently in patients with no-reflow (67.1%) compared to those without (76.2%) (p = 0.031) (Table 5).
Table 5: Medication Use on AdmissionData shown as percentages (%). Significance level: p < 0.05.ACE: angiotensin converting enzyme, ARBs: angiotensin receptor blockers
Discussion
The goal of the study was to discover any link between abnormal plasma osmolarity and the no-reflow problem encountered during primary PCI for STEMI. The results revealed that having above-normal plasma osmolarity is a strong indicator for no-reflow and that plasma osmolarity could independently reveal blockages in the microvasculature during an acute heart attack [12]. No-reflow occurred in 31.1% of those with high plasma osmolarity, compared to only 9.2% in the low plasma osmolarity group and 13.4% in the normal group. Multivariate analysis found that higher plasma osmolarity raises the chances of no-reflow by up to 2.94 times. After taking into account diabetes, the number of clots and extended time before blood flow was restored, these findings showed a continued significant correlation between MI and inflammatory cells [13,14].
This relationship could be caused by a variety of pathophysiological factors. An increased plasm osmolarity points to conditions such as hypernatremia, hyperglycemia or greater urea, each of which is linked to problems like decreased endothelial function, increased oxidative stress and inflammation [15]. Impairment in these processes tends to raise the risk of myocardial injury after blood flow is restored. High concentrations in blood fluids may increase the blood’s viscosity and alter shear stress which makes microvascular blockages more severe and leads to the no-reflow pattern. No statistically significant relationship was found between plasma osmolarity and no-reflow in this group [16]. Despite hypotonicity being able to promote edema and swelling, the results here suggest that acutely, the more significant change is hyperosmolarity. Research in other critical care populations shows that increased blood osmolarity is tied to poor results such as higher death rates and problems with organs [17].
These results have important clinical effects. Routinely measured plasma osmolarity would make it easy to include in models used to determine the risk for STEMI patients. Identifying those at high risk for microvascular injury through osmolarity could help doctors use early measures to address the problem [18]. The treatments might consist of large fluid intake, managing blood glucose, antioxidant medicines or drugs that help with body fluids. The results also support what we already knew about no-reflow such as diabetes, extra time between symptom onset and treatment and a large amount of blood clots [19]. Patients experiencing no-reflow had a poorer clinical status, seen in reduced left ventricular function, more arrhythmias, increased length of time in the hospital and an increased chance of dying in the hospital. Based on these results, making early predictions and preventing no-reflow can improve the likely outcome of patients [20].
This study has several limitations. It was conducted retrospectively at a single center, which may limit the generalizability of the findings. Plasma osmolarity was calculated using a validated formula rather than directly measured, as direct assessment is impractical in routine clinical settings. Patient hydration status at presentation and the influence of concomitant medications were not controlled, which may have affected osmolarity values. The absence of subgroup or sensitivity analyses limits the understanding of whether this association is consistent across clinical subpopulations. Additionally, while patients with missing key data were excluded and complete case analysis was used, no imputation techniques were applied. Thrombus burden was assessed by two blinded cardiologists using the modified TIMI grading system, but inter-rater reliability was not formally evaluated. Variability in clinical documentation may have introduced minor inconsistencies. The angiographic assessment of no-reflow was performed by experienced interventional cardiologists, but blinding was not enforced, introducing the potential for observer bias. Additionally, key variables such as symptom-to-balloon time, myocardial blush grade, and exact thrombus burden were not included in the multivariate analysis, raising the possibility of unmeasured confounding. Patients with missing osmolarity data were excluded, and the potential selection bias was not quantified. Finally, the study focused solely on angiographic outcomes, without evaluating long-term clinical endpoints such as mortality or rehospitalization. Further prospective, multicenter studies are warranted to confirm these findings and explore whether correcting osmolarity can reduce no-reflow incidence and improve clinical outcomes.
Conclusions
It is concluded that elevated plasma osmolarity is significantly associated with the occurrence of the no-reflow phenomenon in patients presenting with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Patients with higher osmolarity levels demonstrated a markedly increased risk of impaired myocardial perfusion, independent of other established clinical and procedural risk factors. Given that plasma osmolarity is easily calculated from routine laboratory parameters, it may serve as a practical and cost-effective tool for early risk stratification in acute myocardial infarction. However, due to the retrospective nature of the study and the possibility of residual confounding, these findings should be viewed as exploratory and hypothesis-generating. Importantly, the results pertain solely to angiographic no-reflow and do not imply an association with long-term clinical outcomes. Further prospective studies, including subgroup analyses and external validation, are needed to confirm the association and clarify its clinical applicability.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1The association of plasma osmolarity with no-reflow in patients with ST elevation myocardial infarction: a retrospective cohort study Eurasian J Med HamideyinŞ Artaçİ 2734562024
- 2The predictive value of laboratory parameters for no-reflow phenomenon in patients with ST-elevation myocardial infarction following primary percutaneous coronary intervention: a meta-analysis Clin Cardiol Wang L Huang S Zhou Q Dou L Lin D 047202410.1002/clc.24238 PMC 1089141538400562 · doi ↗ · pubmed ↗
- 3Risk factors for no-reflow in patients with ST-elevation myocardial infarction who underwent percutaneous coronary intervention: a case-control study Cardiol Res Pract Yu Y Wu Y Wu X Wang J Wang C 3482518202220223530806210.1155/2022/3482518 PMC 8930256 · doi ↗ · pubmed ↗
- 4The association between no-reflow and serum uric acid/albumin ratio in patients with acute myocardial infarction without ST elevation Angiology NurkoçSG Karayiğit O 72787520243733913210.1177/00033197221139685 · doi ↗ · pubmed ↗
- 5Novel predictors and adverse long-term outcomes of no-reflow phenomenon in patients with acute ST elevation myocardial infarction undergoing primary percutaneous coronary intervention Indian Heart J Refaat H Tantawy A Gamal AS Radwan H 35437320213371440710.1016/j.ihj.2020.12.008PMC 7961261 · doi ↗ · pubmed ↗
- 6Myocardial no-reflow in humans J Am Coll Cardiol Niccoli G Burzotta F Galiuto L Crea F 2812925420091960802510.1016/j.jacc.2009.03.054 · doi ↗ · pubmed ↗
- 7Artificial intelligence evaluation of the utility of HALP score and hematological indicators in estimating no-reflow after primary percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction Int J Curr Med Biol Sci Rustem Y 32023
- 8CHA 2DS 2-VA Sc score predict no-reflow phenomenon in primary percutaneous coronary intervention in primary percutaneous coronary intervention J Cardiovasc Thorac Res Mirbolouk F Gholipour M Salari A 46521020182970717810.15171/jcvtr.2018.08PMC 5913693 · doi ↗ · pubmed ↗
