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Saudi Pharmaceutical Journal : SPJ logoLink to Saudi Pharmaceutical Journal : SPJ
. 2013 Jul 13;22(3):203–206. doi: 10.1016/j.jsps.2013.06.008

Glycemic control in diabetic patients in King Khalid University Hospital (KKUH) – Riyadh – Saudi Arabia

Norah Abdullah Al-Rowais 1,
PMCID: PMC4099566  PMID: 25061404

Abstract

Objectives

To evaluate glycemic control of diabetic patients at the King Khalid University Hospital (KKUH) in Riyadh, Saudi Arabia.

Methods

A cross sectional study was conducted among diabetic patients attending KKUH, Riyadh. Patients were identified through the hospital pharmacy records, over a one year period (January–December, 2009). A total of 20,000 patients were identified, and 1520 patients were selected by a simple random method. Medical charts were reviewed, the data were collected in a specially designed data sheet: and entered in a computer, and finally analyzed using a SPSS program.

Results

About 90% of patients were older than 40 years old and 90% were overweight or obese. Fasting blood sugar was above 7.2 mmol/L in 60% of the patients and random blood sugar was more than 10 mmol/L in about 70% of patients. The overall glycemic control as evaluated by HBA1C was acceptable in about 40% of the patients. Cholesterol level was normal in more than 70% of patients while triglyceride was normal in 56% of patients. In about half of the patients systolic blood pressure was not controlled, while in 27% the diastolic blood pressure was above the target level.

Conclusion

The control of diabetes and its associated cardiovascular risk factors in this hospital – based survey, in Riyadh is far from optimal. Further studies are needed to find out the possible causes for this defective care of diabetic patients.

Keywords: Diabetic patients, Saudi Arabia, Diabetes control

1. Introduction

Diabetes is a chronic illness with considerable morbidity and mortality (ADA, 2009; Beaton et al., 2004; Charpentier et al., 2003). It requires continuous medical care and patient self-education to prevent its acute and chronic complications (ADA, 2009). Cardiovascular disease, for example, is the major cause of morbidity and mortality among diabetic patients, accounting for about 70% of hospitalizations and 70–80% of deaths (Goldberg and Capuzzi, 2001; Wingard et al., 1995). Also, microalbuminuria is an established predictor of the later development of nephropathy in both IDDM and NIDDM (Gall et al., 1995; Mogensen, 1984; Mogensen and Christensen, 1984; Parving et al., 1982; Viberti et al., 1982). Other potentially modifiable risk factors that increase morbidity and mortality among diabetics include hypertension, smoking, poor glycemic control (Rossing et al., 1996) and dyslipidemia (ADA, 2009). Over the years, intensive therapy has proved its efficacy in preventing the development of retinopathy, nephropathy and neuropathy in patients with IDDM as well as delaying their progression (Diabetes control and complication trial Research group, 1993; Diabetes control and complication trial/epidemiology of diabetes interventions and complications research group, 2003; Melsinger et al., 2008; Rossing et al., 1996). However, the adequacy of glycemic control is suboptimal in most clinical settings. A report (Saydah and Fradkin, 2004) indicated that only 37% of adults with diabetes mellitus achieved a level of HBA1C of <7%, only 36% had a blood pressure <130/80 mmHg and just 48% had a cholesterol level <200 mg/dL. Another study (Beaton et al., 2004) showed that only a small percentage of diabetics (37%) reached their respective goal for HBA1C, low density lipoprotein (LDL) (23%), and systolic blood pressure (41%) despite being tested for it.

The relationship between medical care and health status and outcomes in patients with type 2 diabetes has also been investigated. In the USA (Harris, 2000), it was found that the rates of health care access and utilization, screening for diabetes complication and treatment of hyperglycemia, hypertension and dyslipidemia are high; nonetheless, health status and outcomes are unsatisfactory. Almost half of U.S. adults with diabetes did not meet the recommended goals for diabetes care (Ali et al., 2013).

A recent study was conducted in Saudi Arabia in which only 27% of the study patients reached the target HBA1C of <7%, 16% attained the target blood pressure of <130/80 and 65% had a lipid profile above the optimal level (Al-Elq, 2009). Another study in primary care clinics showed similar results as only 24% of the patients achieved a HBA1C level of <7% (AlFadda and Bin Abdulrahman, 2006). Therefore, the current study was conducted to evaluate glycemic control of diabetic patients at the King Khalid University Hospital (KKUH) in Riyadh, Saudi Arabia. KKUH is a general hospital with an open access for all Saudis as well as non-Saudis King Saud University employers.

2. Methods

A cross sectional study was conducted among diabetic patients attending the King Khalid University Hospital, Riyadh. Patients were identified through the hospital pharmacy records of prescription of insulin and oral hypoglycemic agents (OHA) over a one year period (January–December, 2009) whether they are followed up in primary health care clinics (PHCC) or specialty clinics. Criteria for inclusion were adult patients >18 years of age of both sexes, both Saudi and non-Saudi, on diabetic treatment. A total of 20,000 patients were identified, and 1520 patients were selected by simple random method.

Medical charts were reviewed and the following data were collected in a specially designed data sheet: age, sex, nationality, body mass index (BMI), blood sugar level (fasting and postprandial), HBA1C, blood pressure level, lipid profile, type of drug treatment and presence of complication.

The goals for adequate glycemic control in this study were specified by 2009 American Diabetes Association (ADA) guidelines as follows: HbA1C < 7%, low density lipoprotein (LDL) <2.6 mmol/L, high density lipoprotein (HDL) >1 mmol/L, triglyceride <1.7 mmol/L, systolic blood pressure <130 mmHg, diastolic blood pressure <80 mmHg, fasting blood sugar (FBS) 3.9–7.2 mmol/L and postprandial blood sugar <10 mmol/L.

Data were entered in a computer, and analyzed using the SPSS program and were presented as percentages. The chi square test was used for evaluating the relationship between variables; a p value less than 0.05 was considered significant.

3. Results

Characteristics of the diabetic patients are shown in Table 1. About 90% of patients were older than 40 years old and 90% were overweight or obese. Most patients were followed in primary care clinics (93%). Although 1520 medical charts were reviewed, some data were missing; for example BMI was available for only 1377 patients.

Table 1.

Characteristics of the diabetic patients (n = 1520).

No. %
Sex (n = 1518)
Male 694 45.7
Female 824 54.3



Age (years) (n = 1516)
<40 124 8.2
40 to <60 773 51
60+ 619 40.8



Nationality (n = 1513)
Saudi 1398 92.4
Non-Saudi 115 7.6



BMI (n = 1377)
<18.5 4 0.3
18.5–24.9 148 10.7
25–29.9 443 32.2
30–39.9 648 47.1
40+ 134 9.4



PHCC follow-up 1413 92.9
Specialty clinic 107 7.1



FBS (mmol/L) (n = 1493)
<7.2 595 39.9
⩾7.2 898 60.1



RBS (mmol/L) (n = 1445)
<10 438 30.3
⩾10 1007 69.7

PHCC: primary health care clinic; BMI: body mass index; FBS: fasting blood sugar; RBS: random blood sugar.

Fasting blood sugar was more than 7.2 mmol/L in 60% of patients and about 70% had random blood sugar more than 10 mmol/L. The overall glycemic control was evaluated through measurement of HBA1C, which was acceptable in about 40% of the patients, and the cholesterol level was normal in more than 70% of patients while triglyceride was normal in only 56% of patients. About half of the patient’s systolic blood pressure was not controlled, while in 27% of patients the diastolic blood pressure was above the target level (Table 2).

Table 2.

Glycemic, lipid, and blood pressure control in patients.

Variable No. % (Valid)
HBA1C (n = 1249)
<7% 496 39.7
7–8% 299 23.9
8.1–9% 193 15.5
9.1–10% 112 9.0
>10% 149 11.9



Total cholesterol (mmol/L) (n = 1348)
<5.2 960 71.2
⩾5.2 388 28.8



Triglyceride (mmol/L) (n = 1335)
<1.7 756 56.6
⩾1.7 579 43.4



LDL (mmol/L) (n = 61)
<2.6 15 24.6
⩾2.6 46 75.4



HDL (mmol/L) (n = 59)
>1 32 54.2
⩾1 27 45.8



Systolic B.P. (mmHg) (n = 1515)
<130 764 50.4
⩾130 751 49.6



Diastolic B.P. (mmHg) (n = 1515)
<80 1098 72.5
⩾80 417 27.5

When the relationship between socio-demographic characteristics and HBA1C was analyzed, there was a significant relationship between HBA1C and sex, nationally, and age in which male, Saudi nationals, and older patients were better controlled than others Table 3.

Table 3.

The relationship between HBA1C and socio-demographic characteristics.

HBA1C <7
>7
P value
No % No %
Sex
Male 235 43.6 304 56.4 0.013
Female 260 36.7 449 63.3



Nationality
Saudi 473 40.5 694 59.5 0.011
Non Saudi 20 26.0 57 74.0



Age
<50 137 34.4 261 65.6 0.008
⩾50 358 42.3 489 57.7



BMI
<30 212 43.4 277 56.6 0.071
⩾30 252 38.1 410 61.9

4. Discussion

The adequacy of glycemic control in diabetes mellitus is a cornerstone in reducing morbidity and mortality of the disease (ADA, 2009; Beaton et al., 2004; Charpentier et al., 2003). More than half of the patients in the present study were not adequately controlled and this represents a serious problem because diabetes is a very prevalent disease (23.7%) in the Saudi community (Al-Nozha et al., 2004). This poor control of the disease, will no doubt result in an increasing prevalence of diabetic complications and high morbidity and mortality. Although the University Hospital offers a high standard of medical care, the findings of the present study show that diabetic control is suboptimal. Many factors may account for this, the first and foremost is poor patient compliance with treatment. In addition, others factors are lifestyle modifications and long wait times in the hospital appointment system, because the hospital does not have a well defined population and it offers medical care to all Saudis. Knowledge and application of published guidelines of diabetes management may not be optimal, which may also explain the poor control. Many earlier studies have reported similar findings (Beaton et al., 2004; Harris, 2000; Saydah and Fradkin, 2004)

In the current study lipid control was somewhat better than glycemic control as about two thirds of diabetic patients attained the goal for lipid control but it should be noted that only total cholesterol and triglyceride were reported as low density lipoprotein (LDL) and high density lipoprotein (HDL) were not available for most patients. This may represent a drawback in the care of diabetic patients. Goal attainment for diastolic blood pressure was better than systolic blood pressure (72.5% versus 50.4%). The high proportion of elderly patients in this study may account for this finding because the isolated systolic hypertension is more prevalent in the elderly. Such suboptimal control of blood pressure was also reported by others (Charpentier et al., 2003).

Glycemic control in males was found to be significantly better than females, and this can be due to the fact that; females are usually the caregivers for the entire family not only the husband and children but also mothers and mothers-in-law which increases their heavy domestic responsibilities. This feature could be a local phenomenon as other studies (Charpentier et al., 2003) found that sex was not associated with glycemic control.

Nationality was significantly related to glycemic control as Saudi nationals were controlled better than non-Saudis. So expatriates being away from their home country could contribute to this finding.

Age was another factor that affected diabetic control significantly because the older age group was better controlled compared to younger age groups. This could be due to the fact that younger person is more likely to have type 1 diabetes compared to older individuals with type 2 diabetes.

This study has some limitations such as poor recording in the charts which were missing some important variables. Another limitation is that control can be affected by other factors that were not studied here, such as the duration of diabetes.

5. Conclusion

The findings of this study at King Khalid University Hospital, Riyadh led us to conclude that the control of diabetes and its associated cardiovascular risk factors is far from optimal. There is a need for further studies to find out the possible causes for this defective care of diabetic patients and then to take the necessary measures to restore satisfactory control of the disease.

Acknowledgment

I appreciate Mr. Mohammad Aijaz Ashraf for his secretarial assistance.

Footnotes

Peer review under responsibility of King Saud University.

References

  1. American Diabetes Association Standards of medical care in diabetes – 2009 (position statement) Diabetes Care. 2009;32:S13–S61. doi: 10.2337/dc09-S013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Al-Elq A.H. Current practice in the management of patients with type 2 diabetes mellitus in Saudi Arabia. Saudi Med. J. 2009;30(12):1551–1556. [PubMed] [Google Scholar]
  3. AlFadda A., Bin Abdulrahman K. Assessment of care for type 2 diabetic patients at the primary care clinics of a referral hospital. J. Fam. Commun. Med. 2006;13(1):13–18. [PMC free article] [PubMed] [Google Scholar]
  4. Ali M.K., Bullard K.M., Saaddine J.B., Cowie C.C., Imperatore G., Gregg E.W. Achievement of goals in U.S. diabetes care, 1999–2010. N. Engl. J. Med. 2013;368(17):1613–1624. doi: 10.1056/NEJMsa1213829. [DOI] [PubMed] [Google Scholar]
  5. Al-Nozha M.M., Al-Maatouq M.M., Al-Mazrou Y.Y., Al-Harthi S.S., Arafah M.R., Khalil M.Z. Diabetes mellitus in Saudi Arabia. Saudi Med. J. 2004;25(11):1603–1610. [PubMed] [Google Scholar]
  6. Beaton S.J., Nag S.S., Gunter M.J., Gleeson J.M., Sajjan S.S., Alexander C.M. Adequacy of glycemic, lipid, and blood pressure management for patients with diabetes in a managed care setting. Diabetes Care. 2004;27(3):694–698. doi: 10.2337/diacare.27.3.694. [DOI] [PubMed] [Google Scholar]
  7. Charpentier G., Genes N., Vaur L., Amar J., Clerson P., Cambou J.P., Gueret P. On behalf of the ESPOIR diabetes study investigators. Control of diabetes and cardiovascular risk factors in patients with type 2 diabetes: a national wide French Survey. Diabetes Metab. 2003;29:152–158. doi: 10.1016/s1262-3636(07)70022-8. [DOI] [PubMed] [Google Scholar]
  8. Diabetes control and complication trial research group The effect of intensive treatment of diabetes on the development and progression of long-term complication in insulin-dependent diabetes mellitus. N. Engl. J. Med. 1993;329:977–986. doi: 10.1056/NEJM199309303291401. [DOI] [PubMed] [Google Scholar]
  9. Diabetes control and complication trial/epidemiology of diabetes interventions and complications research group Sustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy: the epidemiology of diabetes interventions and complications (EDIC) study. JAMA. 2003;290(16):2159–2167. doi: 10.1001/jama.290.16.2159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Gall M.-A., Borch-Johnsen K., Hougarrd P., Nielsen F.S., Parving H.-H. Risk factors for development of micro-and macroalbuminuria in non-insulin – dependent diabetes mellitus. Diabetologia. 1995;38(Suppl. 1):A215. [Google Scholar]
  11. Goldberg R.B., Capuzzi D. Lipid disorders in type 1 and type 2 diabetes. Clin. Lab. Med. 2001;21:147–172. [PubMed] [Google Scholar]
  12. Harris M.I. Health care and health status and outcomes for patients with type 2 diabetes. Diabetes Care. 2000;23(6):754–758. doi: 10.2337/diacare.23.6.754. [DOI] [PubMed] [Google Scholar]
  13. Melsinger C., Heier M., Landgraf R., Happich M., Wichmann H.E., Diehlmeier W. Alburninurea, cardiovascular risk factors and disease management in subjects with type 2 diabetes: a cross sectional study. BMC Health Services Res. 2008;8:226. doi: 10.1186/1472-6963-8-226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Mogensen C.E. Microalbuminuria predicts clinical proteinuria and early mortality in maturity onset diabetes. N. Engl. J. Med. 1984;310:356–360. doi: 10.1056/NEJM198402093100605. (Abstract) [DOI] [PubMed] [Google Scholar]
  15. Mogensen C.E., Christensen C.K. Predicting diabetic nephropathy in insulin-dependent patients. N. Engl. J. Med. 1984;311:89–93. doi: 10.1056/NEJM198407123110204. (Abstract) [DOI] [PubMed] [Google Scholar]
  16. Parving H.H., Oxenboll B., Svendsen P.A., Christiansen J.S., Andersen A.R. Early detection of patients at risk of developing diabetic nephropathy. Acta Endocrinol. 1982;100:550–555. doi: 10.1530/acta.0.1000550. [DOI] [PubMed] [Google Scholar]
  17. Rossing P., Hougaard P., Borch-Johnsen K., Parving H.H. Predictors of mortality in insulin dependent diabetes: 10 year observational follow up study. BMJ. 1996;313:779–784. doi: 10.1136/bmj.313.7060.779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Saydah S.H., Fradkin J., Cowie C.C. Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes. JAMA. 2004;291:335–342. doi: 10.1001/jama.291.3.335. [DOI] [PubMed] [Google Scholar]
  19. Viberti G.C., Hill R.D., Jarrett R.J., Argyropoulos A., Mahmud U., Keen H. Microalbuminuria as a predictor of clinical nephropathy in insulin-dependent diabetes mellitus. Lancet. 1982;i:1430–1432. doi: 10.1016/s0140-6736(82)92450-3. [DOI] [PubMed] [Google Scholar]
  20. Wingard D.L., Berrett-Connor E. Heart disease and diabetes. second ed. National diabetes data group, National Institute of Health; Bethesda, MD: 1995. pp. 429–448. (Diabetes in America). (NIH Publication No. 95-1468) [Google Scholar]

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