Literature DB >> 35755551

Diabetes Mellitus and Related Admission Factors Among Hospitalized Patients in King Abdul-Aziz University Hospital in Jeddah, Saudi Arabia.

Yasamen A Shikdar1, Hala H Mosli2, Nasrin A Shikdar3, Rajaa M Alshanketi4, Noorah A Shikdar4, Raghdaa M Malebary4, Wedyan M Aboznadah2, Mohammad A Shikdar4.   

Abstract

Background Diabetes mellitus (DM) is a rapidly increasing serious health problem that affects the population all over the world. The increasing prevalence of DM in Saudi Arabia is reflected in our hospital admissions as well. This study aimed to assess the proportion of DM (including type 1 and type 2 diabetes) among hospitalized patients and the reasons for admissions to the medical unit at King Abdul-Aziz University Hospital (KAUH) in Jeddah, Saudi Arabia. Methods We conducted a hospital record-based cross-sectional study at KAUH from January to April 2021. The study included all adult patients admitted to the internal medicine wards and isolation unit but excluded patients in the coronary care unit and those with gestational diabetes. We reviewed the medical records to collect demographic data, causes of admission, laboratory results, and outcomes. Results Among the hospitalized patients, 49.9% had DM. The most common associated risk factors and causes of admission among patients with DM were hypertension (HTN; 73.2%) and dyslipidemia (43.1%). Other less common reasons for admission were heart failure (20.6%), coronavirus disease-2019 (COVID-19; 17.8%), chronic kidney disease (CKD; 14.5%), pneumonia (12.3%), and stroke (10%). Dyslipidemia, HTN, CKD, diabetic ketoacidosis, heart failure, and need for intensive care unit (ICU) admission were significantly higher in diabetic patients as compared to patients without diabetes. HTN, dyslipidemia, CKD, heart failure, stroke, acute abdomen, and malignancy were significantly higher in patients with type 2 diabetes. Among diabetic patients, those with non-Saudi nationality, low hemoglobin level, dyslipidemia, pneumonia, sepsis, and requiring ICU admission had a greater risk of death. Conclusions The high burden of DM on the secondary healthcare level in Saudi Arabia highlights the need for effective diabetes prevention and treatment strategies in primary care and hospital outpatient settings. Such measures would help reduce the hospitalization rate and ease the healthcare system's burden.
Copyright © 2022, Shikdar et al.

Entities:  

Keywords:  complication; diabetes mellitis; hospitalized; jeddah saudi arabia; prevalence

Year:  2022        PMID: 35755551      PMCID: PMC9227000          DOI: 10.7759/cureus.25312

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Diabetes mellitus (DM) is a chronic multisystem disorder influenced by a complex interaction of genetic, socioeconomic, and behavioral factors that impair insulin secretion from the pancreas resulting in insulin resistance [1]. Diabetic patients usually manifest high blood glucose levels and can have various complications that affect their blood vessels and nerves [1]. Complications can be microvascular (e.g., neuropathy, retinopathy, and nephropathy) and macrovascular (e.g., stroke and myocardial infarction [MI]) [1,2]. DM also causes immune dysfunction because hyperglycemia is toxic to cellular immunity. Therefore, patients with uncontrolled DM have a greater risk for morbidity and mortality than patients without DM [2]. Several hospital admissions are related to DM and its complications, and as the global incidence of DM grows, the disease consumes a growing amount of the national healthcare expenditure [2]. The diabetes epidemic will continue to grow if primary prevention is not implemented, and it is expected to become one of the world's leading causes of disability and mortality if left untreated [3-5]. According to the International Diabetes Federation, the Middle East and North Africa (MENA) region has the highest DM prevalence [6]. This spike is due to rapid economic development, urbanization, and lifestyle changes. Furthermore, according to the World Health Organization, the Kingdom of Saudi Arabia (KSA) has the second-highest prevalence of DM in the Middle East region and seventh in the world [4]. In a systematic review, KSA had an incidence of 32.8% of type 2 diabetes in 2015, which is expected to increase to 45.36% by 2030 [5]. Epidemiological studies were done in KSA [1] and Libya [3], and both reported that DM patients had higher admission rates, longer hospital stays, and higher morbidity and mortality than patients without DM. Data regarding the prevalence of DM among patients and their reasons for admission to the KSA are limited. This study aimed to identify the proportion of DM (including type 1 and type 2 diabetes) and the reasons for admission among hospitalized patients in the medical unit at King Abdul-Aziz University Hospital (KAUH) in Jeddah, KSA.

Materials and methods

We conducted a hospital record-based cross-sectional study to identify the proportion of DM and causes of admission among hospitalized patients in KAUH in Jeddah, KSA, from January to April 2021. The study was ethically approved by the Institutional Review Board (IRB) of KAUH. We reviewed the medical records of all adult patients admitted to internal medicine wards and the isolation units. Patients admitted to the coronary care unit and those with gestational diabetes were excluded from the study as they were not admitted under internal medicine wards. We collected demographic information, such as age, gender, nationality (i.e., Saudi or Non-Saudi), and any known medical issues by history such as diabetes, hypertension (HTN), chronic kidney disease (CKD), and dyslipidemia. We also recorded the reason for the current admission and laboratory results, such as glycated hemoglobin (HbA1c), hemoglobin, creatinine, microalbumin/creatinine ratio, total cholesterol, triglyceride, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and thyroid-stimulating hormone (TSH). We recorded patient outcomes in terms of length of stay, intensive care unit (ICU) admission, surgery, and discharge or in-hospital death. Statistical analysis Data were analyzed statistically using IBM SPSS Statistics for Windows, Version 26.0 (IBM Corp., Armonk, NY). To assess the relationship between variables, qualitative data were expressed as numbers and percentages, and the chi-squared test (χ2) was used. Quantitative data were expressed as mean ± standard deviation, and non-parametric variables were tested using the Mann-Whitney test. Multivariate logistic regression analysis was done to assess the independent predictors (risk factors) of death among diabetic patients, and the odds ratio (OR) was determined at a confidence interval of 95%. A p-value of 0.05 was considered statistically significant.

Results

The study population consisted of 800 patients (56.9% were women, and 43.1% were men) with a mean age of 55.6 ± 18.1 years. Most of the patients (54.8%) were Saudis. A total of 399 patients had DM (49.9%), and of those patients, 338 (84.7%) patients had type 2 diabetes and 164 of these DM patients (41.1%) were on insulin therapy. Of all studied patients, 693 (86.6%) patients did not require ICU admissions, while 102 (12.8%) patients were admitted to the ICU. Among those with diabetes, only 126 patients (31.6%) had controlled HbA1c, and the mean length of hospital stay for all patients was 10.8 ± 21.8 days, and 66 patients (8.3%) died in the hospital. Table 1 presents the demographic and clinical characteristics of the study population.
Table 1

Distribution of studied participants according to their demographic and clinical characters (n = 800)

DM: Diabetes mellitus; GLP-1: Glucagon-like peptide 1; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone.

VariablesNo. (%)
Age (years)55.69 ± 18.11
Gender  
Female345 (43.1)
Male455 (56.9)
Nationality  
Non-Saudi362 (45.3)
Saudi438 (54.8)
Having DM
No401 (50.1)
Yes399 (49.9)
DM type (No.: 399)
Type 161 (15.3)
Type 2338 (84.7)
DM treatment (No.: 399)
Combined oral + GLP-1 agonist injection2 (0.5)
Diet + insulin1 (0.2)
Diet + oral hypoglycemic drugs2 (0.5)
Insulin164 (41.1)
Not on treatment29 (7.3)
Oral hypoglycemic drugs125 (31.3)
Oral hypoglycemic drugs + insulin76 (19)
HbA1C (No.:399)
Controlled126 (31.6)
Not controlled188 (47.1)
NA85 (21.3)
Hospital course (No.: 800)
Did not require ICU693 (86.6)
Required ICU102 (12.8)
Required surgery5 (0.6)
Outcomes
Deceased66 (8.3)
Discharged734 (91.8)
Length of hospital stay (days)21.81 ± 10.8
Mean and SD of lab resultsNormal ranges
HbA1C < 5.7 (%)7.3 ± 2.17
Hemoglobin: 12.6-17.4 (g/dl)11.26 ± 2.73
Creatinine: 0.67-1.17 (mg/dl)271.94 ± 828.38
Total CHOL: 0-199 (mg/dl)4.02 ± 1.27
TG: 0.00-150 (mg/dl)1.46 ± 0.9
LDL: 0.00-100 (mg/dl)2.99 ± 6.27
HDL ≥ 55 (mg/dl)1.58 ± 7.48
TSH: 0.27-4.20 (uIU/ml)5.17 ± 15.45

Distribution of studied participants according to their demographic and clinical characters (n = 800)

DM: Diabetes mellitus; GLP-1: Glucagon-like peptide 1; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone. The most common associated risk factors and causes of admission among patients with DM were HTN (73.2%) and dyslipidemia (43.1%). The other causes of admission were heart failure (20.6%), coronavirus disease 2019 (COVID-19; 17.8%), CKD (14.5%), pneumonia (12.3%), and stroke (10%). End-stage renal disease (ESRD) was found in 9.5% of admissions, and other conditions found were urinary tract infection (UTI; 7%), renal failure (6.8%), sepsis (4%), diabetic ketoacidosis (DKA; 2.5%), malignancy (2%), transient ischemic attack (TIA; 1.5%), bleeding (1%), MI (0.8%), acute abdomen (0.8%), and meningoencephalitis (0.5%). A comparison of comorbidities in patients with DM and those without DM is seen in Table 2. Not surprisingly, DM patients had a significantly increased risk of having dyslipidemia, HTN, CKD, DKA, heart failure, and ICU admissions than the patients without DM (p ≤ 0.05). Patients without DM had more incidence of acute abdomen and malignancy (p ≤ 0.05).
Table 2

Difference between diabetic and non-diabetic patients according to risk factors and causes of admission (n = 800)

HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone.

VariablesNo DM (No.: 401)DM (No.: 399)χ2 p-value
No. (%)No. (%)
HTN131 (31)292 (69)131.8<0.001
Dyslipidemia51 (22.9)172 (77.1)91.87<0.001
CKD36 (38.3)58 (61.7)7.780.02
DKA0 (0.0)10 (100)10.170.001
Acute coronary syndrome (MI)4 (57.1)3 (42.9)0.130.709
Heart failure30 (26.8)82 (73.2)28.37<0.001
Stroke29 (42)40 (58)1.980.159
TIA5 (45.5)6 (54.5)0.090.755
Pneumonia33 (40.2)49 (59.8)3.560.059
Renal failure26 (49.1)27 (50.9)0.020.872
ESRD on dialysis34 (47.2)38 (52.8)0.260.606
UTI26 (48.1)28 (51.9)0.090.764
COVID-1959 (45.4)71 (54.6)1.390.238
Acute abdomen21 (87.5)3 (12.5)13.82<0.001
Sepsis10 (38.5)16 (61.5)1.460.227
Meningoencephalitis6 (75)2 (25)20.157
Malignancy27 (77.1)8 (22.9)10.680.001
Bleeding8 (66.7)4 (33.3)1.330.248
Hospital course
Did not require ICU359 (51.8)334 (48.2)6.740.034
Required ICU39 (38.2)63 (61.8)  
Required surgery3 (60)2 (40)  
Length of hospital stay9.89 ± 16.3511.71 ± 26.160.710.474
Lab results Normal ranges
Hemoglobin: 12.6-17.4 (g/dl)11.37 ± 2.8411.15 ± 2.621.440.148
Creatinine: 0.67-1.17 (mg/dl)194.18 ± 594.06351.23 ± 1007.726.83<0.001
Total CHOL: 0-199 (mg/dl)4.11 ± 1.433.96 ± 1.341.040.295
TG: 0.00-150 (mg/dl)1.44 ± 1.011.47 ± 0.820.710.476
LDL: 0.00-100 (mg/dl)3.72 ± 10.782.63 ± 1.20.630.52
HDL ≥ 55 (mg/dl)1.1 ± 0.371.81 ± 9.10.940.345
TSH: 0.27-4.20 (uIU/ml)6.82 ± 19.23.96 ± 11.880.640.519
Outcomes
Deceased28 (42.4)38 (57.6)1.70.191
Discharged373 (50.8)361 (49.2)

Difference between diabetic and non-diabetic patients according to risk factors and causes of admission (n = 800)

HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone. A comparison of comorbidities in type 1 vs. type 2 diabetes patients is depicted in Table 3. HTN, dyslipidemia, CKD, heart failure, stroke, acute abdomen, and malignancy were significantly higher in patients with type 2 diabetes (p ≤ 0.05) than in the patients with type 1 diabetes. Patients with type 1 diabetes had more DKA (p ≤ 0.05), which was expected.
Table 3

Difference between diabetes types according to risk factors and causes of admission (n = 399)

HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection.

VariablesDM type 1 (No.: 61)DM type 2 (No.: 338)  χ2p-value
No. (%)No. (%)
HTN30 (7.1)262 (61.9)148.39<0.001
Dyslipidemia27 (12.1)145 (65)91.91<0.001
CKD7 (7.4)51 (54.3)9.70.045
DKA10 (100)0 (0.0)122.68<0.001
Acute coronary syndrome (MI)1 (14.3)2 (28.6)0.790.673
Heart failure10 (8.9)72 (64.3)29.41<0.001
Stroke2 (2.9)38 (55.1)6.130.046
TIA2 (18.2)4 (36.4)1.770.413
Pneumonia4 (4.9)45 (54.9)6.130.047
Renal failure3 (5.7)24 (45.3)0.420.809
ESRD on dialysis5 (6.9)33 (45.8)0.420.81
UTI2 (3.7)26 (48.1)1.690.43
COVID-1911 (8.5)60 (46.2)1.390.497
Acute abdomen1 (4.2)2 (8.3)14.020.001
Sepsis2 (7.7)14 (53.8)1.580.453
Meningoencephalitis1 (12.5)1 (12.5)2.940.23
Malignancy0 (0.0)8 (22.9)11.370.003
Bleeding0 (0.0)4 (33.3)1.820.402
Hospital course
Did not require ICU49 (7.1)285 (41.1)7.980.092
Required ICU12 (11.8)51 (50)
Required surgery0 (0.0)2 (40)
Length of hospital stay8.66 ± 13.2812.27 ± 27.8410.317
Outcomes
Deceased6 (9.1)32 (48.5)1.710.424
Discharged55 (7.5)306 (41.7)

Difference between diabetes types according to risk factors and causes of admission (n = 399)

HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection. Table 4 presents outcomes in patients with DM. Patients of older age, of non-Saudi nationality, those with lower hemoglobin levels, higher creatinine levels, and longer hospital stays had significantly higher mortality (p ≤ 0.05). Dyslipidemia, pneumonia, sepsis, or ICU requirement were also associated with a significantly higher incidence of death (p ≤ 0.05). Outcomes among patients with diabetes were not significantly affected by gender, treatment types, HbA1c, total cholesterol, triglycerides, LDL, HDL, TSH levels, and all causes of admission except dyslipidemia, pneumonia, or sepsis (p ≥ 0.05).
Table 4

Relationship between the outcomes among diabetic patients and their demographic and clinical characteristics (n = 399)

DM: Diabetes mellitus; GLP-1: Glucagon-like peptide 1; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone; HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection.

VariablesOutcomes  
Deceased (No.: 38) No. (%)Discharged (No.: 361) No. (%)
Age (years)66.79 ± 15.1761.31 ± 15.272.380.017
Gender
Female11 (7.1)144 (29.9)1.730.188
Male27 (11.1)217 (88.9)
Nationality
Non-Saudi26 (13.5)167 (86.5)6.760.009
Saudi12 (5.8)194 (94.2)
DM type (No.: 399)
Type 1 (No.: 61)6 (9.8)55 (90.2)0.0080.928
Type 2 (No.: 338)32 (9.5)306 (90.5)
DM treatment (No.: 399)
Combined oral + GLP-1 agonist injection (No.: 2)1 (50)1 (50)6.150.407
Diet + insulin (No.: 1)0 (0.0)1 (100)
Diet + oral hypoglycemic drugs (No.: 2)0 (0.0)2 (100)
Insulin (No.: 164)18 (11)146 (89)
Not on treatment (No.: 29)4 (13.8)25 (86.2)
Oral hypoglycemic drugs (No.: 125)9 (7.2)116 (92.8)
Oral hypoglycemic drugs + insulin (No.: 76)6 (7.9)70 (92.1)
Mean and SD of lab resultsNormal ranges
HbA1C < 5.7 (%)7.21 ± 2.118.09 ± 2.271.670.093
Hemoglobin: 12.6-17.4 (g/dl)9.72 ± 2.6811.3 ± 2.573.55<0.001
Creatinine: 0.67-1.17 (mg/dl)549.67 ± 1065.72330.4 ± 1000892.170.03
Total CHOL: 0-199 (mg/dl)3.42 ± 1.574.01 ± 1.311.450.146
TG: 0.00-150 (mg/dl)1.59 ± 0.831.46 ± 0.830.720.467
LDL: 0.00-100 (mg/dl)2.73 ± 1.032.62 ± 1.220.460.64
HDL ≥ 55 (mg/dl)1.06 ± 0.281.85 ± 9.360.080.931
TSH: 0.27-4.20 (uIU/ml)3.87 ± 5.693.97 ± 12.420.850.393
Length of hospital stay (days)33.18 ± 57.629.46 ± 19.024.33<0.001
Risk factors and causes of admission
HTN (No.: 292)26 (8.9)266 (91.1)0.480.486
Dyslipidemia (No.: 172)24 (14)148 (86)6.880.009
CKD (No.: 58)5 (8.6)53 (91.4)0.110.943
DKA (No.: 10)0 (0.0)10 (100)1.080.299
Acute coronary syndrome (MI) (No.: 3)0 (0.0)3 (100)0.310.573
Heart failure (No.: 82)9 (11)73 (89)0.250.615
Stroke (No.: 40)3 (7.5)37 (92.5)0.210.646
TIA (No.: 6)0 (0.0)6 (100)0.640.432
Pneumonia (No.: 49)11 (22.4)38 (77.6)10.830.001
Renal failure (No.: 27)2 (7.4)25 (92.6)0.150.698
ESRD on dialysis (No.: 38)3 (7.9)35 (92.1)0.120.719
UTI (No.: 28)1 (3.6)27 (96.4)1.230.266
COVID-19 (No.: 71)7 (9.9)64 (90.1)0.010.915
Acute abdomen (No.: 3)0 (0.0)3 (100)0.310.573
Sepsis (No.: 16)4 (25)12 (75)4.630.031
Meningoencephalitis (No.: 2)0 (0.0)2 (100)0.210.646
Malignancy (No.: 8)1 (12.5)7 (87.5)0.080.772
Bleeding (No.: 4)0 (0.0)4 (100)0.420.514
Hospital course
Did not require ICU (No.: 334)16 (4.8)318 (95.2)56.05<0.001
Required ICU (No.: 63)22 (34.9)41 (65.1)
Required surgery (No.: 2)0 (0.0)2 (100)

Relationship between the outcomes among diabetic patients and their demographic and clinical characteristics (n = 399)

DM: Diabetes mellitus; GLP-1: Glucagon-like peptide 1; TG: Triglycerides; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TSH: Thyroid-stimulating hormone; HTN: Hypertension; CKD: Chronic kidney disease; DKA: Diabetic ketoacidosis; TIA: Transient ischemic attack; ESRD: End-stage renal disease; UTI: Urinary tract infection. Table 5 shows that having a non-Saudi nationality, low hemoglobin levels, dyslipidemia, pneumonia, sepsis, and requiring ICU admission were independent predictors (i.e., risk factors) of death among diabetic patients (confidence interval: 95%; p ≤ 0.05).
Table 5

Multivariate logistic regression analysis of the independent predictors (risk factors) of death among diabetic patients (n = 399)

N.B.: Wald = Wald test ("Wald" column) is used to determine the statistical significance of each of the independent variables. B = The regression slope or unstandardized coefficient and is the amount by which we predict that SciSore changes for an increase of one unit in wealth.

VariablesBWaldP-valueOR (CI: 95%)
Age0.022.220.1350.97 (0.94-1)
Nationality0.974.490.0340.37 (0.15-0.92)
Hemoglobin level0.288.780.0031.33 (1.1-1.6)
Creatinine level0.0010.030.860.99 (1-0.101)
Length of hospital stay0.013.660.0550.98 (0.97-1)
Dyslipidemia1.025.170.0232.79 (1.15-6.79)
Pneumonia1.69.010.0034.97 (1.74-14.19)
Sepsis0.921.580.2082.51 (0.59-10.54)
Hospital course1.6312.61<0.0015.13 (2.08-12.67)

Multivariate logistic regression analysis of the independent predictors (risk factors) of death among diabetic patients (n = 399)

N.B.: Wald = Wald test ("Wald" column) is used to determine the statistical significance of each of the independent variables. B = The regression slope or unstandardized coefficient and is the amount by which we predict that SciSore changes for an increase of one unit in wealth.

Discussion

DM is a rapidly increasing serious health problem that affects the global population. The prevalence of DM in KSA has increased 10-fold in the last 30 years [3]. This increase is reflected in our hospital admissions. Our study is one of the most comprehensive to date that describes the characteristics of hospitalized patients with and without DM. Overall, dyslipidemia, HTN, CKD, DKA, heart failure, and ICU admission were significantly higher in patients with diabetes as compared to patients without diabetes. In addition to diabetes, these factors increased the risk of hospitalization and longer hospital stays as supported by multiple previous reports [2,7,8]. In the present study, nearly half of the total admissions to the medical unit were patients with DM. This high proportion conveys the impact of diabetes on our community. A similar study in 2000 by Akbar et al. in our hospital reviewed 1006 admitted patients to the medical unit and showed only 17% prevalence of diabetic patients [1]. This remarkable increase in numbers is an alarming sign of a major health crisis, which necessitates prompt additional action to promote comprehensive control programs to prevent the further increase in the diabetic population, harm, and financial burden to the country. Another study from Kuwait Al-Sabah Hospital in 2010 by Al-Adsani et al. showed a 40.6% prevalence of diabetic patients hospitalized. This result is similar to our results [9]. Most of our patients had type 2 diabetes (84.7%), which can be explained by the rapid economic development and lifestyle changes. While only 15.3% of patients admitted had type 1 diabetes, this is more than a three-fold increase from the previous study at the same institution that found only 2% of the patients admitted had type 1 diabetes [1]. In our study, most of the patients (41.3%) were on insulin therapy, which provides an insight into their average HbA1c levels. Furthermore, 31.4% of DM patients used oral antihyperglycemic agents (OAHs), and 19% required insulin in addition to OAHs. Recent guidelines recommend glucagon-like peptide 1 receptor agonists early in the disease course for high-risk patients, but only 0.5% of patients in our study with type 2 diabetes were using this therapy [10]. Unfortunately, 7.3% of DM patients were not receiving any medications related to diabetes, which indicates a poor level of community awareness about diabetes, its complications, and the importance of being on a proper treatment regimen. Only a few DM patients (0.7%) were trying to control their blood glucose using diet alone; a similar proportion was reported by a previous study [11]. In our study, only 31.6% of patients with diabetes had good control with HbA1c < 7. In 2019, a study on outpatient diabetes treatment in our hospital also showed high numbers of poorly controlled diabetes in this population (68.31%) [12]. Patients with diabetes and HTN represented 73.2% of our study population. A study from China on hospitalized older patients with DM also reported a high prevalence of HTN (64.4%) [13]. Another study in older adults with DM also showed a high prevalence of HTN (81.9%) [14]. The prevalence of dyslipidemia among diabetic patients was 43.1%, which was lower than the incidence of dyslipidemia reported in a previous study from the northern region of KSA (66%) [15]. That same study showed that 39.0% of patients with DM had specifically high LDL cholesterol (LDL-C) levels [15]. Lipid profile levels in patients with DM and those without were not significantly different. A study in China showed that 61.1% of diabetes patients had LDL levels < 100 mg/dL [16]. Another report from Nepal demonstrated almost similar results, with 56.3% of DM patients having target LDL levels [17]. Of our diabetic patients, 9.5% had known ESRD on regular dialysis, and 6.8% had new renal failure. A study in the United States on DM patients showed that CKD prevalence was 43.5% [18]. In our study, 52.8% of patients with ESRD were on dialysis. An earlier study in the United Arab Emirates found that 44.0% of patients had moderately increased albuminuria [19]. Another US study showed the prevalence of elevated urine albumin excretion (i.e., >30 mg/g) to be 32.2% [18]. In KSA, a study on dialysis patients at one center in Tabuk found that diabetic nephropathy was the most common cause of ESRD, accounting for 30.4% of cases [20]. The prevalence of nephropathy associated with diabetes is very high in the MENA region [21]. According to our study, the most common reason for admission and risk factors in type 2 DM was dyslipidemia, followed by heart failure. DM is known as a major risk factor for cardiovascular events. These issues are caused by impaired glucose metabolism, and the resultant hypoglycemia or hyperglycemia increases the risk of arrhythmias, sudden death, or other cardiovascular events [22-24]. A study demonstrated that the risk of sudden cardiac death was at least two-fold higher in diabetic patients compared to those without diabetes [25]. Another study found that renal failure was the most common cause of admission among diabetic patients [26]. COVID-19 pneumonia was another reason for admission among patients with DM in our study, given that COVID-19 is often more serious in people with different comorbidities. Other studies reported that sepsis was the most common cause of admission among diabetic patients [27]. When we compared hospitalization in DM and non-DM patients, DM patients had longer hospital stays. This result aligns with a previous study [26]. Metabolic derangements, DM severity, and associated complications are predictors for longer hospital stays and mortality [26]. We found no significant association between death and DM, which contrasts with a previous study during the COVID-19 pandemic that found a higher mortality rate among patients with DM [28]. On multivariate logistic regression analysis to assess the risk factors of death among diabetic patients, low hemoglobin levels, dyslipidemia, pneumonia, sepsis, and ICU admission were independent predictors of death among diabetic hospitalized patients. A previous study reported that a history of diabetes was associated with worse outcomes in cardiomyopathy patients and was a predictor of mortality [29]. Strengths and limitations Our study is one of the more comprehensive studies to date to describe the characteristics of hospitalized patients with and without DM. The study highlights the most common risk factors affecting public health. However, our study was limited by its cross-sectional design, which may reveal associations between variables but not causal relationships.

Conclusions

Nearly half of the patients hospitalized during the study period had DM. Dyslipidemia, HTN, CKD, diabetic ketoacidosis, heart failure, and need for ICU admission were significantly higher in diabetic patients as compared to patients without diabetes. HTN, dyslipidemia, CKD, heart failure, stroke, acute abdomen, and malignancy were significantly higher in patients with type 2 diabetes. Risk factors for death were non-Saudi nationality, low hemoglobin levels, dyslipidemia, pneumonia, sepsis, and ICU admission. DM places a significant strain on secondary health care in the KSA. Effective primary care, preventative measures, and treatment strategies for diabetic patients may reduce these preventable hospitalizations.
  24 in total

1.  Reasons for admission of individual with diabetes to the Tripoli Medical Center in 2015.

Authors:  Alshwikh Haifa Elhadi; Hander Faiza
Journal:  Diabetes Metab Syndr       Date:  2019-07-09

2.  Common causes of admission in diabetics.

Authors:  D H Akbar; A A Al-Gamdi
Journal:  Saudi Med J       Date:  2000-06       Impact factor: 1.484

3.  Analysis of patients with end-stage renal disease on dialysis in Tabuk City, Saudi Arabia: A single-center, three-year retrospective study.

Authors:  Fahad M Almutairi; Mohammed A Al-Duais; Kamal A Shalaby; Mohamed I Sakran
Journal:  Saudi J Kidney Dis Transpl       Date:  2017 Mar-Apr

Review 4.  Diabetes Mellitus in Saudi Arabia: A Review of the Recent Literature.

Authors:  Mohamed Abdulaziz Al Dawish; Asirvatham Alwin Robert; Rim Braham; Ayman Abdallah Al Hayek; Abdulghani Al Saeed; Rania Ahmed Ahmed; Fahad Sulaiman Al Sabaan
Journal:  Curr Diabetes Rev       Date:  2016

5.  Prevalence and Associated Factors of Dyslipidemia Among Adults with Type 2 Diabetes Mellitus in Saudi Arabia.

Authors:  Riyadh A Alzaheb; Abdullah H Altemani
Journal:  Diabetes Metab Syndr Obes       Date:  2020-10-28       Impact factor: 3.168

Review 6.  Etiology and effect on outcomes of hyperglycemia in hospitalized patients.

Authors:  R Keith Campbell
Journal:  Am J Health Syst Pharm       Date:  2007-05-15       Impact factor: 2.637

7.  Characteristics of lipid profiles and lipid control in patients with diabetes in a tertiary hospital in Southwest China: an observational study based on electronic medical records.

Authors:  Qingtao Hou; Chuan Yu; Sheyu Li; Yun Li; Rui Zhang; Tao Zheng; Yi Ma; Miye Wang; Na Su; Ting Wu; Zhiwen Liu; Xia Sheng; Nan Li; Guanjian Liu; Yong Huang; Ting Xu; Xin Sun; Haoming Tian
Journal:  Lipids Health Dis       Date:  2019-01-12       Impact factor: 3.876

8.  Assessment of Achievement of American Diabetes Association (ADA) Targets in Patients with Type 2 Diabetes Mellitus at a Tertiary Care Centre in Eastern Nepal.

Authors:  Jouslin K Baranwal; Robin Maskey; Rajendra K Chaudhari; Ojaswee Sherchand
Journal:  Diabetes Metab Syndr Obes       Date:  2020-08-21       Impact factor: 3.168

9.  Chronic kidney disease in US adults with type 2 diabetes: an updated national estimate of prevalence based on Kidney Disease: Improving Global Outcomes (KDIGO) staging.

Authors:  Robert A Bailey; Yiting Wang; Vivienne Zhu; Marcia F T Rupnow
Journal:  BMC Res Notes       Date:  2014-07-02

Review 10.  Heart Failure: Diagnosis, Management and Utilization.

Authors:  Arati A Inamdar; Ajinkya C Inamdar
Journal:  J Clin Med       Date:  2016-06-29       Impact factor: 4.241

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