The sample was divided into quarters according to the distribution of the age groups, with the largest sample being in the age group between 1–21 years, at a rate of 35.6%.
As for gender, the majority of the sample were females, with a total of 62, accounting for 71.3%.
Regarding smoking, the vast majority of the sample were non-smokers, with a total of 76 non-smokers, accounting for 87.4%.
We also calculated the number of patients with some chronic diseases such as type 2 diabetes and hypertension. The number of patients with type 2 diabetes was 14, accounting for 16.1%, while the number of patients with hypertension was also 14, accounting for 16.1%.
Regarding the length of hospital stay required by the patients, it was distributed as follows: the number of patients who were discharged on the same day was 12, accounting for 13.8%, those who required hospitalization for two days were 21, accounting for 24.1%, and those who required three days were 22, accounting for 25.3%.
We also surveyed the number of patients who required admission to the intensive care unit and found that there were 9 patients out of the sample, accounting for 10.3%. As for the patients who required mechanical ventilation, their number was 8 out of the sample, accounting for 9.1%.
We also measured the oxygen levels of the patients upon admission using an oximeter and statistically divided the patients into four groups based on the results we obtained. The largest group had oxygen levels above 91%, accounting for 43.6%.
We also divided the patients according to the degree of respiratory distress they were experiencing, with the largest group falling under degree three, with a total of 48 patients, accounting for 55.1%.
Additionally, we divided the patients according to their heart rate upon admission into four categories based on the results we obtained. The largest category fell under a heart rate of 85–100 beats per minute, accounting for 36.7%.
We also divided the patients according to their respiratory rate into four categories based on the results we obtained. The largest group of patients fell under the category of 21–30 breaths per minute, accounting for 39%.
Finally, we distributed the individuals in the sample according to the quarters we divided based on the NLR ratio results we obtained. The largest number of patients fell under the first quarter Q1, accounting for 27.5%.
We conducted a statistical study to investigate the relationship between age and NLR, and through the appropriate statistical test, there was no statistically significant relationship indicating an association between age and NLR, where the P-value was 0.624.
We also conducted a statistical study to investigate the relationship between gender and NLR, and through the appropriate statistical test, there was no statistically significant relationship indicating an association between gender and NLR, where the P-value was 0.493.
Furthermore, we conducted a statistical study to investigate the relationship between smoking and NLR, and through the appropriate statistical test, there was no statistically significant relationship indicating an association between smoking and NLR, where the P-value was 0.106.
Additionally, we conducted a statistical study to investigate the relationship between type 2 diabetes and NLR, and through the appropriate statistical test, there was no statistically significant relationship indicating an association between type 2 diabetes and NLR, where the P-value was 0.423.
We also conducted a statistical study to investigate the relationship between hypertension and NLR, and through the appropriate statistical test, there was no statistically significant relationship indicating an association between hypertension and NLR, where the P-value was 0.212.
Moreover, we conducted a statistical study to investigate the relationship between the degree of respiratory distress and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between the degree of respiratory distress and NLR, where the P-value was 0.04, meaning that respiratory distress increases with an increase in NLR.
Additionally, we conducted a statistical study to investigate the relationship between heart rate and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between heart rate and NLR, where the P-value was 0.001, meaning that heart rate increases with an increase in NLR.
We also conducted a statistical study to investigate the relationship between respiratory rate and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between respiratory rate and NLR, where the P-value was 0.001, meaning that respiratory rate increases with an increase in NLR.
Furthermore, we conducted a statistical study to investigate the relationship between length of hospital stay and NLR, and through the appropriate statistical test, we did not find a statistically significant relationship indicating an association between length of hospital stay and NLR, where the P-value was 0.116.
Moreover, we conducted a statistical study to investigate the relationship between admission to the intensive care unit and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between admission to the intensive care unit and NLR, where the P-value was 0.001, meaning that the likelihood of admission to the intensive care unit increases with an increase in NLR.
Lastly, we conducted a statistical study to investigate the relationship between the need for mechanical ventilation and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between the need for mechanical ventilation and NLR, where the P-value was 0.001, meaning that the need for mechanical ventilation increases with an increase in NLR.
Finally, we conducted a statistical study to investigate the relationship between oxygen levels upon admission and NLR, and through the appropriate statistical test, we found a statistically significant positive relationship indicating an association between oxygen levels and NLR, where the P-value was 0.001, meaning that oxygen levels decrease