# Impact of Long-Term Non-Communicable Diseases on SARS-COV-2 Hospitalized Patients Supported by Radiological Imaging in Southern Pakistan

**Authors:** Ali Qureshi, Syed Azhar Syed Sulaiman, Pushp Lata Rajpoot, Maryam Mohammed Sahli, Narendar Kumar, Shireen Bhurgri, Nur Aizati Athirah Daud

PMC · DOI: 10.7759/cureus.67110 · Cureus · 2024-08-18

## TL;DR

This study shows that patients with chronic diseases like diabetes and hypertension have worse outcomes from COVID-19, as seen in chest X-rays and mortality data from hospitalized patients in Pakistan.

## Contribution

The study uses radiological imaging to demonstrate the impact of non-communicable diseases on severe outcomes in hospitalized COVID-19 patients.

## Key findings

- Patients with diabetes, hypertension, and cardiovascular diseases had significantly higher mortality rates from COVID-19.
- Chest X-rays revealed worse lung opacities and pneumonia in patients with chronic conditions.
- Logistic regression confirmed the strong association between comorbidities and increased risk of death.

## Abstract

COVID-19 patients with already existing chronic medical conditions are more likely to develop severe complications and, ultimately, a higher risk of mortality. This study analyzes the impacts of pre-existing chronic illnesses such as diabetes (DM), hypertension, and cardiovascular diseases (CVDs) on COVID-19 cases by using radiological chest imaging. The data of laboratory-confirmed COVID-19-infected hospitalized patients were analyzed from March 2020 to December 2020. Chest X-ray images were included to further identify the differences in X-ray patterns of patients with co-morbid conditions and without any co-morbidity. The Pearson chi-square test checks the significance of the association between co-morbidities and mortality. The magnitude and dimension of the association were calibrated by the odds ratio (OR) at a 95% confidence interval (95% CI) over the patients’ status (mortality and discharged cases). A univariate binary logistic regression model was applied to examine the impact of co-morbidities on death cases independently. A multivariate binary logistic regression model was applied for the adjusted effects of possible confounders. For the sensitivity analysis of the model, receiver operating characteristic (ROC) was applied. Patients with different comorbidities, including diabetes (OR = 33.4, 95% CI: 20.31-54.78, p < 0.001), cardiovascular conditions (OR = 24.14, 95% CI: 10.18-57.73, p < 0.001), and hypertension (OR = 16.9, 95% CI: 10.20-27.33, p < 0.001), showed strong and significant associations. The opacities present in various zones of the lungs clearly show that COVID-19 patients with chronic illnesses such as diabetes, hypertension, cardiovascular disease, and obesity experience significantly worse outcomes, as evidenced by chest X-rays showing increased pneumonia and deterioration. Therefore, stringent precautions and a global public health campaign are crucial to reducing mortality in these high-risk groups.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015), obesity (MONDO:0011122), pneumonia (MONDO:0005249), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** pneumonia (MESH:D011014), COVID-19 (MESH:D000086382), diabetes (MESH:D003920), DM (MESH:D009223), death (MESH:D003643), hypertension (MESH:D006973), CVDs (MESH:D002318), illnesses (MESH:D002908), obesity (MESH:D009765), Non-Communicable Diseases (MESH:D000073296)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11406398/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC11406398/full.md

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Source: https://tomesphere.com/paper/PMC11406398