• Users Online: 175
  • Print this page
  • Email this page

 
Table of Contents
ORIGINAL ARTICLE
Year : 2021  |  Volume : 10  |  Issue : 6  |  Page : 252-257

COVID-19 mortality and its risk factors: A single-center observational study


1 Department of Pharmacology, Army College of Medical Sciences, Delhi, India
2 Deaprtment of Pharmacology, Army College of Medical Sciences, Delhi, India
3 Department of Pathology, Army College of Medical Sciences, Delhi, India
4 All India Institute of Medical Sciences, Rishikesh, India
5 Department of Pharmacology, Subharti Medical College, Meerut, India
6 Kegan Pathology Laboratory, New Delhi, India

Date of Submission28-May-2021
Date of Decision08-Sep-2021
Date of Acceptance02-Oct-2021
Date of Web Publication30-Nov-2021

Correspondence Address:
Neena Katoch
Deaprtment of Pharmacology, Army College of Medical Sciences, Delhi
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2221-6189.330745

Get Permissions

  Abstract 

Objectives: To determine COVID-19 mortality and its risk factors in hospitalized patients at of a tertiary care center in north India.
Methods: A retrospective observational study was conducted of patients who were hospitalized from May 2020 to January 2021. The in-hospital mortality was assessed, and demographic variables and comorbidities between COVID-19 deaths and survivors were compared.
Results: A total of 24 000 patients were admitted during the study period, among which 17 000 had shown positive results of the RT-PCR test for COVID-19. The total mortality was 329 patients (1.37%), among which 232 (70.52%) succumbed due to COVID-19, and 97 (29.48%) died due to other illnesses. The mean age of the patients was (64.09±16.99) years. The mean age was significantly higher in COVID-19 related deaths [(67.63±13.78) years] as compared to that of the survivors [(60.52±19.5) years] (P<0.001). Compared to COVID-19 survivors, there were more males (72.41% v.s. 61.5%) and less females (27.59% v.s. 38.5%) in COVID-19 related deaths (P=0.001). Comorbidities such as hypertension, diabetes mellitus, and chronic kidney disease showed a significant correlation with COVID-19 mortality with an adjusted odds ratio of 2.389 (95% CI: 1.465-2.982), 3.891 (95% CI: 2.059-5.392), and 6.358 (95% CI: 5.675-10.564), respectively.
Conclusions: Elderly males with comorbidities have higher risk for mortality related to COVID-19. Ongoing vaccination drive is rightfully prioritised to serve the high-risk category first.

Keywords: COVID-19; Mortality; Comorbidities; Elderly


How to cite this article:
Gupta AK, Katoch N, Gulati R, Kumar V, Singh S, Garg K. COVID-19 mortality and its risk factors: A single-center observational study. J Acute Dis 2021;10:252-7

How to cite this URL:
Gupta AK, Katoch N, Gulati R, Kumar V, Singh S, Garg K. COVID-19 mortality and its risk factors: A single-center observational study. J Acute Dis [serial online] 2021 [cited 2022 Jan 19];10:252-7. Available from: http://www.jadweb.org/text.asp?2021/10/6/252/330745


  1. Introduction Top


Coronavirus disease 2019 (COVID-19), an infectious disease caused by the SARS-CoV-2 virus, swept over the whole world rapidly and is making a recurrence. To date, cases and mortality due to COVID-19 are on the rise, even though the vaccine has been developed for quite a long time. Statistics released by the World Health Organization show that globally, as of October 2021, there have been over 246 million confirmed cases with around 4.9 million deaths. In India, there have been 34.2 million confirmed cases with over 457 thousand deaths[1].



The association of demographic characteristics such as age, gender, and comorbidities with mortality of COVID-19 has been much explored[2],[3],[4]. Qiu et al.[5] found highest mortality rates in COVID-19 patients among elderly males with comorbidities like hypertension, diabetes[6], cardiovascular and neurovascular disease.

Because of the pertinent association of comorbidities with COVID-19 morbidity and mortality, the vaccine drive has focused on this subset of the population, that is, senior citizens>60 years or individuals>45 years with long-standing (>10 years) comorbidities such as hypertension and diabetes[7].

As the pandemic is ongoing, the research on the risk factors of mortality continues. As we are aware of the fact that there is a huge difference across the globe in COVID-19 infection rate, clinical presentation, recovery rate, and complications; so we did this study to report COVID-19 related mortality rate and the factors (age, gender, comorbidities) affecting the mortality from tertiary care center in north India. Worldwide, there is an urgent need to identify risk factors relevant in a specific geographical location so that the local population falling in the high-risk category should exercise extra caution.


  2. Patients and methods Top


2.1. Study design

We conducted a retrospective observational study for 9 months (May 2020 to January 2021), where we retrieved the data of all patients who were admitted to the tertiary care hospital in North India.

2.2. Ethical consideration

Considering the retrospective observational nature of the study, consent was waived off. Ethical clearance was also not required for the study as there was no intervention.

2.3. Sample size

The sample size calculation of the study was done based on the survey by Qiu et al.[5] who observed that the prevalence rate of underlying diseases among COVID-19 dead patients was 72.21%. Taking this value as reference, the minimum required sample size with a 5% margin of error and 5% level of significance is 309 patients. To reduce the margin of error, the total sample size taken is 329.

2.4. Data collection

We obtained the demographic details of the patients. Detailed clinical history related to dysfunction of respiratory, cardiovascular, renal, and or multiorgan involvement was noted. Though we kept in mind the possibility of absence of pinpointer history as non-specific, minimal symptoms were reported[8]. RT-PCR test was taken as the gold standard to label cases as COVID-19 positive. In India, government healthcare service has a significant role in providing free access to reliable RT-PCR testing. Besides, routine lab investigations included complete hemogram, prothrombin time/international normalized ratio, kidney function tests, determination of IL6, serum ferritin, lactate dehydrogenase were deployed; additional tests per individual disease profile were recorded. The records of the patients for oxygen saturation, chest X-ray, computerized tomography, coagulation profile, and management mainly with oxygen support with or without ventilators and drugs like azithromycin, hydroxychloroquine, ivermectin, zinc, vitamin C, steroids, low molecular weight heparin, direct thrombin inhibitors, remdesivir, and tocilizumab were obtained.

2.5. End points

The primary outcomes were in-hospital mortality. The secondary outcomes were the association of demographic variables and comorbidities between COVID-19 deaths and survivors.

2.6. Statistical analysis

The data was entered in Microsoft EXCEL and analyzed using SPSS version 21.0. The data presentation was done as number (%). All qualitative variables were associated using Chi square test/ Fisher’s Exact test was used to determine the association between qualitative variables. Independent t-test was used to determine the association between age and in-hospital mortality. Univariate and multivariate logistic regression was used to find out significant risk factors of COVID-19 mortality. Point-biserial correlation coefficient was used to determine the correlation between COVID-19 mortality and age, hypertension, diabetes (DM) and chronic kidney disease (CKD). The significant level of this study was set at α=0.05.


  3. Results Top


A total of 24 000 patients were admitted during the study period, among which 17 000 were COVID-19 positive. The total mortality was 329 patients, among which 232 (70.52%) died of COVID-19, and 97 (29.48%) died due to other causes [Figure 1].
Figure 1: The study flowchart.

Click here to view


The mean age (SD) of the study patients was (64.09±16.99) years. The mean age was significantly higher in COVID-19-related deaths (67.63±13.78) years as compared to the survivors (60.52±19.50) years, (t=5.540, P<0.001). [Table 1] shows the age-wise distribution concerning mortality. There was a significant difference in the age distribution among COVID-19 deaths and COVID-19 survivors (P<0.05). In the age group of 71 years and above, more COVID-19 related deaths were recorded (48.7% v.s. 27.8%, P<0.001), while COVID-19 survivors predominated in the age group of <70 years. A significant positive correlation was observed between age and the COVID-19 mortality (r=0.310, P<0.001).
Table 1: Age distribution between COVID-19 mortality and survivors

Click here to view


There was a significant association of gender with COVID-19 related mortality. Compared to non-COVID-19 associated deaths, there were more males (72.41% v.s. 61.5%) and fewer females (27.59% v.s. 38.5%) in COVID-19 related deaths (P=0.001).

The distribution of comorbidities among COVID-19 deaths and COVID-19 survivors were significantly different [Table 2]. The common comorbidities recorded were hypertension, diabetes mellitus, and chronic kidney disease; all of which were significantly different related to COVID-19 mortality (P<0.001). A significant positive correlation was seen of COVID-19 mortality with all the comorbidities like hypertension (r=0.213, P<0.001), diabetes mellitus (r=0.256, P<0.001) and chronic kidney disease (r=0.185, P<0.001).
Table 2: Association of comorbidities with mortality.

Click here to view


On performing multivariate regression, age and males were significant independent risk factors of the COVID-19 mortality after adjusting for confounding factors. With the increase in age, the risk of COVID-19 mortality significantly increases with an odds ratio of 1.05 (95% CI: 1.033-1.068). Male had a significantly high risk of COVID-19 mortality with an odds ratio of 2.754 (95% CI: 1.579-4.802). Comorbidities such as hypertension, diabetes mellitus, and chronic kidney disease also showed a higher odds of COVID-19 mortality with an adjusted odds ratio of 2.389, 3.891, and 6.358 respectively [Table 3].
Table 3: Univariate and multivariate logistic regression to find out significant risk factors of COVID-19 mortality.

Click here to view



  4. Discussion Top


COVID-19 pandemic has resulted in a heavy death toll worldwide, indicating the significance of the problem. We reported a COVID-19 mortality rate of 1.36% against the overall mortality rate of 1.37%. Similarly, a study shows a high COVID-19 mortality rate of 23.6% against the overall mortality rate of 27.3% in a total of 1 018 patients in 3 months[9].

As seen in other studies, reasons for mortality in COVID-19 were primarily due to acute failure: respiratory, renal, cardiovascular, and or multiorgan involvement.

It has been seen that the elderly population is at high risk, which was observed in the present study as well [(67.63 ±13.78) years v.s. (60.52±19.50) years, P<0.001]. Among other studies[10],[11] similar results of elderly persons at high risk were observed. Suleyman et al. reported a higher death rate in older>60 years[12], likewise Gili et al.[13] and Nikpouraghdam et al.[14] reported it to be (66.8±16.4) years and 65 years, respectively.

Reason for increased chances of infection and deaths in the elderly are attributed to a more often presence of comorbid metabolic conditions like diabetes mellitus, hypertension, chronic kidney disease; waning immunity leading to increased susceptibility and disease severity; decreased airway and mucus clearance; psychological fear of getting the disease; weak will power to fight the infection; medicine treatment restrictions and cross drug interactions in patients already on medications for cardiovascular, central nervous system, endocrine disorders. In developing countries, often due to family financial constraints, treatment preference is not given to non-earning, dependent elderly at the beginning of disease symptoms. This leads to worsening symptoms, and disease could progress to systemic, irreversible complications before people try to seek medical help at hospitals.

We also observed that COVID-19 related deaths were more in males than in females (72.41% v.s. 61.5%, P<0.05). Our findings were in line with the study by Biswas et al.[15].

Among other studies, though most of them show male preponderance, some studies from the USA showed contrasting results[16]. Two Chinese[17],[18] studies showed that the increased chances of infection and deaths in males are attributed to more outdoor exposure as still the main earning member of the family is male, indicating more social gathering exposure, more travel stretches, and weak immunity due to smoking, alcohol intake.

The comorbidities observed in the present study patients were hypertension, diabetes mellitus, and chronic kidney disease. WHO has also recognized these chronic conditions as the leading cause of mortality[19]. Similar to our observation, in other studies[20],[21] hypertension, diabetes, and cardiovascular reasons diseases are the most common comorbid conditions associated.

As for diabetes mellitus, sustained high blood sugar levels weaken the immune system, leading to increased infection susceptibility. No established pathway for diabetes linked with COVID-19 severity has been published, the feeble possibility of angiotensin-converting enzyme 2 (ACE2) overexpression in diabetes mellitus is proposed. ACE2 is the primary binding site of the COVID-19 virus, thus leading to increased viral load[22].

Among all cardiovascular conditions, studies have reported hypertension is found in a maximum number of COVID-19 patients. Although the exact mechanism of myocardial damage in COVID-19 patients is still uncertain, possibilities include COVID- 19 virus causing myocarditis, pericarditis eventually resulting in arrhythmias and heart failure[23],[24]; damage due to cardiac tissue expression of ACE2[25]; acute cardiac injury resulting in cardiac failure[26]. Copresence of hypertension results in extra pressure load on cardiac muscle pumps and cardiac collapse. Though the exact mechanism by which the COVID-19 virus damages renal tissue is not well established, ACE2 expression by the kidney could play the culprit[27].

Worldwide studies (China[17], Italy[28], USA[29], UK[30]) have found a vast disease spectrum associated: chronic obstructive pulmonary disease; chronic kidney disease; liver disease, GI disorders, immunosuppression, neurological disorders, psychiatric disorders, metabolic disorders, blood disorders, transplant, chronic pancreatitis, connective tissue disorder, smoking, obesity, and hyperlipidemia. So, the graveness of the COVID-19 pandemic is being depicted by its poor prognosis with any of these comorbidities associated, and the comorbidity inclusion list is still on the rise.

Statistically, we also supported that the presence of comorbidities (hypertension, diabetes mellitus, and chronic kidney disease) carry higher odds of mortality with an adjusted odds ratio of 2.389, 3.891 and 6.358 respectively. Our findings are in line with the study by Biswas et al.[15]. who also found that comorbidities showed increased risk of mortality; kidney disease (RR: 4.90, 95% CI: 3.04-7.88; P<0.001), cerebrovascular disease (RR: 4.78; 95% CI: 3.39-6.76; P<0.001), cardiovascular disease (RR: 3.05, 95% CI: 2.20-4.25; P<0.001), respiratory disease (RR: 2.74; 95% CI: 2.04-3.67; P<0.001), diabetes (RR: 1.97, 95% CI: 1.48-2.64; P<0.001), hypertension (RR: 1.95; 95% CI: 1.58-2.40; P<0.001), and cancer (RR: 1.89; 95% CI: 1.25-2.84; P=0.002) but not liver disease (RR: 1.64; 95% CI: 0.82-3.28; P=0.16). Another recent systematic review support this notion of increased COVID-19 mortality with the presence of co-morbidities[31].

As COVID-19 has emerged as a new pandemic disease, the medical fraternity was not ready with set treatment protocols to deal with such grave systemic illness. At the beginning of the pandemic, with a sudden high number of COVID-19 cases, shrinking medical infrastructure compared to prevalence, fear of self-protection, overrunning treatment capacity, and daily new emerging fatality rate took a toll on humanity, and we couldn’t do justice to required medical care. However, after knowing the predisposing factors, we are more aware and take greater care of the comorbid population allowing for a better outcome.

The study must be interpreted under certain limitations. First, we enrolled a small set of patients from a single institute. Second, we were not able to evaluate hematological or biochemical investigations as the risk for mortality. It might be possible that uncontrolled glycemic levels of the diabetes mellitus patients, the raised blood pressure in hypertensives, or deranged creatinine levels in CKD might influence the prognosis of admitted patients.

Given this, more extensive, multicentric studies are required to identify high-risk populations, facilitating improved, individualized treatment protocols for this subset of the population.

Elderly males with comorbidities fell in a higher risk group for mortality related to COVID-19. Ongoing vaccination drive is rightfully prioritized to serve the high-risk category first. This vulnerable group should exercise extra caution to fight the pandemic in the future, and simultaneously, vaccination programs should be stepped up to include almost 70% of the population at the fastest pace. Future research is required to optimize the management of patients with diabetes and develop new ways to manage them via technological developments such as telecare.

Conflict of interest statement

The authors report no conflict of interest.

Authors’ contributions

A.K.G., N.K., R.G., V.K.: Concept, design, literature search, data analysis, manuscript preparation; A.K.G., S.S., K.G.: Design, data acquisition, manuscript review; A.K.G., V.K., S.S., K.G.: Design, data acquisition, manuscript review.

 
  References Top

1.
World Health Organization. WHO Coronavirus Disease (COVID- 19) Dashboard. [Online] Available from: https://COVID-19.who.int. [Accessed on 25th April 2021].  Back to cited text no. 1
    
2.
Li G, Deng Q, Feng J, Li F, Xiong N, He Q. Clinical characteristics of diabetic patients with COVID-19. J Diabetes Res 2020; 2020: 1652403.  Back to cited text no. 2
    
3.
Abdelhafiz AH, Emmerton D, Sinclair AJ. Diabetes in COVID-19 pandemic-prevalence, patient characteristics and adverse outcomes. Int J Clin Pract 2021; 75(7): e14112.  Back to cited text no. 3
    
4.
Ruíz-Quiñonez JA, Guzmán-Priego CG, Nolasco-Rosales GA, Tovilla- Zarate CA, Flores-Barrientos OI, Narváez-Osorio V, et al. Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study. PLoS One 2021; 16(2): e0245394.  Back to cited text no. 4
    
5.
Qiu P, Zhou Y, Wang F, Wang H, Zhang M, Pan X, et al. Clinical characteristics, laboratory outcome characteristics, comorbidities, and complications of related COVID-19 deceased: a systematic review and meta-analysis. Aging Clin Exp Res 2020; 32(9): 1869-1878.  Back to cited text no. 5
    
6.
Dai CL, Kornilov SA, Roper RT, Cohen-Cline H, Jade K, Smith B, et al. Characteristics and factors associated with COVID-19 infection, hospitalization, and mortality across race and ethnicity. Clin Infect Dis 2021; ciab154.  Back to cited text no. 6
    
7.
Ajufo E, Rao S, Navar AM, Pandey A, Ayers CR, Khera A. US population at increased risk of severe illness from COVID-19. Am J Prev Cardiol 2021; 100156.  Back to cited text no. 7
    
8.
McIntosh K. Coronavirus disease 2019 (COVID-19): Epidemiology, virology, clinical features, diagnosis, and prevention. [Online] Available from: https://www.gov.uk/government/publications/wuhan-novel-coronavirus-background-information/wuhan-novel-coronavirus-epidemiology-virology-and-clinical-features. [Accessed on 28th April 2021].  Back to cited text no. 8
    
9.
Olivas-Martínez A, Cárdenas-Fragoso JL, Jiménez JV, Lozano-Cruz OA, Ortiz-Brizuela E, Tovar-Méndez VH, et al. In-hospital mortality from severe COVID-19 in a tertiary care center in Mexico City; causes of death, risk factors and the impact of hospital saturation. PLoS One 2021; 16(2): e0245772.  Back to cited text no. 9
    
10.
Bajgain KT, Badal S, Bajgain BB, Santana MJ. Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature. Am J Infect Control 2021; 49(2): 238-246.  Back to cited text no. 10
    
11.
Emami A, Javanmardi F, Pirbonyeh N, Akbari A. Prevalence of underlying diseases in hospitalised patients with COVID-19: a systematic review and meta-analysis. Arch AcadEmerg Med 2020; 8(1): e35.  Back to cited text no. 11
    
12.
Suleyman G, Fadel RA, Malette KM, Hammond C, Abdulla H, Entz A, et al. Clinical characteristics and morbidity associated with Coronavirus Disease 2019 in a series of patients in Metropolitan Detroit. JAMA Netw Open 2020; 3(6): e2012270.  Back to cited text no. 12
    
13.
Gili T, Benelli G, Buscarini E, Canetta C, La Piana G, Merli G, et al. SARS-COV-2 comorbidity network and outcome in hospitalised patients in Crema, Italy. PLoS One 2021; 16(3): e0248498.  Back to cited text no. 13
    
14.
Nikpouraghdam M, Farahani AJ, Alishiri G, Heydari S, Ebrahimnia M, Samadinia H, et al. Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single-centre study. J Clin Virol 2020; 127: 104378.  Back to cited text no. 14
    
15.
Biswas M, Rahaman S, Biswas TK, Haque Z, Ibrahim B. Association of sex, age, and comorbidities with mortality in COVID-19 patients: A systematic review and Meta-analysis. Intervirology 2020; doi: 10.1159/000512592.  Back to cited text no. 15
    
16.
McMichael TM, Currie DW, Clark S, Pogosjans S, Kay M, Schwartz NG, et al. Epidemiology of COVID-19 in a longterm care facility in King County, Washington. N Engl J Med 2020; 382(21): 2005-2011.  Back to cited text no. 16
    
17.
Wang ZL, Yang BH, Li QW, Wen L, Zhang RG. Clinical features of 69 cases with coronavirus disease 2019 in Wuhan, China. Clin Infect Dis 2020; 71(15): 769-777.  Back to cited text no. 17
    
18.
Zhang GQ, Hu C, Luo LJ, Fang F, Chen YF, Li JG, et al. Clinical features and short-term outcomes of 221 patients with COVID-19 in Wuhan, China. J Clin Virol 2020; 127: 104364.  Back to cited text no. 18
    
19.
World Health Organization. Noncommunicable diseases. [Online] Available from: https://www.who.int/data/gho/data/themes/ noncommunicable-diseases. [Accessed on 20th April 2021].  Back to cited text no. 19
    
20.
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223): 497-506.  Back to cited text no. 20
    
21.
Liang WH, Guan WJ, Li CC, Li YM, Liang HR, Zhao Y, et al. Clinical characteristics and outcomes of hospitalised patients with COVID- 19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China. European Respiratory J 2020; 55(6): 2000562.  Back to cited text no. 21
    
22.
Ma RCW, Holt RIG. COVID-19 and diabetes. Diabet Med 2020; 37(5): 723-725.  Back to cited text no. 22
    
23.
Mandal A. What happens when COVID-19 and cardiovascular diseases mix. [Online] Available from: https://www.news-medical.net/ news/20200325/What-happens-when-COVID-19-and-cardiovascular-diseases-mix.aspx. [Accessed on April 18th 2021].  Back to cited text no. 23
    
24.
Vuorio A, Watts GF, Kovanen PT. Familial hypercholesterolaemia and COVID-19: triggering of increased sustained cardiovascular risk. J Intern Med 2020; 287(6): 746-747.  Back to cited text no. 24
    
25.
Zheng YY, Ma YT, Zhang JY, Xie X. COVID-19 and the cardiovascular system. Nat Rev Cardiol 2020; 17(5): 259-260.  Back to cited text no. 25
    
26.
Shi SB, Qin M, Shen B, Cai Y, Liu T, Yang F, et al. Association of cardiac injury with mortality in hospitalised patients with COVID-19 in Wuhan, China. JAMA Cardiol 2020; 5(7): 802-810.  Back to cited text no. 26
    
27.
Batlle D, Soler MJ, Sparks MA, Hiremath S, South AM, Welling PA, et al. COVID-19 and ACE2 in cardiovascular, lung, and kidney working group. Acute kidney injury in COVID-19: Emerging evidence of a distinct pathophysiology. J Am Soc Nephrol 2020; 31(7): 1380-1383.  Back to cited text no. 27
    
28.
Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA 2020; 323(16): 1574-1581.  Back to cited text no. 28
    
29.
Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalised with COVID-19 in the New York city area. JAMA 2020; 323(20): 2052-2059.  Back to cited text no. 29
    
30.
Lovell N, Maddocks M, Etkind SN, Taylor K, Carey I, Vora V, et al. Characteristics, symptom management, and outcomes of 101 patients with COVID-19 referred for hospital palliative care. J Pain Symptom Manage 2020; 60(1): e77-e81.  Back to cited text no. 30
    
31.
Gupta P, Gupta M, KAtoch N, Garg K, Garg B. A systematic review and Meta-analysis of diabetes associated mortality in patients with COVID-19. Int J Endocrinol Metab 2021; 19(4): e113220.  Back to cited text no. 31
    


    Figures

  [Figure 1]
 
 
    Tables

  [Table 1], [Table 2], [Table 3]



 

Top
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
Abstract
1. Introduction
2. Patients and ...
3. Results
4. Discussion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed438    
    Printed8    
    Emailed0    
    PDF Downloaded41    
    Comments [Add]    

Recommend this journal